- 2 Live Project
- Self-Paced/ Classroom
- Certification Pass Guaranteed
The objective of this Microsoft Azure Certification course is to make you an expert in cloud platform and teach you everything step-by-step from an initial to the advanced stage.
Also, the course will prepare you for various certification exams too like admin, development, architect, and more.
You will get the right direction and expertise to get certified and get hired in no time.
You will get hands-on materials during training like PPTs, PDFs, whitepapers, that are especially prepared by training experts after continuous research.
The best part is that course will make you skilled enough to showcase your skills at the global level.
Azure Compute: This module is useful for providing virtual machines, app services, and serverless computing options. Along with this, its primary key services consist of virtual machines, app service, Azure functions, Azure Kubernetes Service (AKS)
Azure Networking: This solution is useful for managing the network connectivity and traffic flow within Azure. Along with this, its key services consist of virtual networks, load balancers, DNS, VPN gateways, ExpressRoute Etc.
Azure Storage: This module is useful for storing the data in various forms. Its examples are blobs, files, tables, and queues. Along with this, its key services include Blob Storage, File Storage, Table Storage, and Queue Storage.
Azure Databases: The Azure Databases provide users with managed database services for different data types. Along with this, its key services include SQL Database, Cosmos DB, PostgreSQL, MySQL, Redis Cache
Azure Identity and Access Management (IAM): The primary purpose of this module is to manage the user identities, roles, and permissions for accessing Azure resources. Along with this, its key services include Azure Active Directory and Role-Based Access Control (RBAC)
Azure Security: This is useful for protecting the MS Azure resources and data from threats. Along with this, its key features consist of a security centre, Azure Firewall, Azure Key Vault, Azure Monitor Etc.
Azure AI + Machine Learning: This solution is useful for providing various tools and services for building and deploying AI and machine learning models. Along with this, its key features are Azure Machine Learning, Azure Cognitive Services, Azure Databricks Etc.
Azure Analytics: The Azure Analytics is useful for providing the services for analyzing and visualizing data. Along with this, it includes various key features such as Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage.
Azure Internet of Things (IoT): This is useful for connecting and managing IoT devices and data. Along with this, its key services include Azure IoT Hub, Azure IoT Central and Azure Time Series Insights.
Azure DevOps: This solution is useful for providing a set of tools for planning, developing, testing, and deploying applications. Along with this, its key services include Azure DevOps Server, Azure DevOps Services, Azure Pipelines, Azure Repos Etc.
Azure Kubernetes Service (AKS): The AKS is useful for deploying and managing containerized applications. Along with this, its key features consist of Kubernetes orchestration, autoscaling, and integration with other Azure services.
Azure Virtual Machines (VMs): The Azure Virtual Machines are useful for providing businesses with virtualized computing resources for running various applications. Furthermore, it offers different VM sizes along with operating systems, and networking options.
Azure Functions: The primary purpose of this module is to provide a serverless computing platform for running code without managing infrastructure. Along with this, its key features ensure event-driven execution, pay-per-use pricing, and integration with other Azure services.
Azure Logic Apps: It refers to a popular low-code integration platform for building workflows and automating tasks. Along with this, its key features consist of connectors for various services and applications, visual designers, and scheduling options.
Azure App Services: This is a popular fully managed platform useful for building, deploying, and scaling web applications and APIs. Along with this, it provides users with different deployment options (Web App, API App, Mobile App), integration with Azure services, and scalability.
Azure Event Grid: This is a fully managed event routing service that is useful for building event-driven applications. Along with this, it helps in publishing and subscribing to events from various Azure resources and custom sources.
Azure Service Bus: This is a cloud-based messaging service useful for reliable and scalable communication between applications. Along with this, it also facilitates great point-to-point messaging and provides topics and subscriptions for publish-subscribe messaging.
Azure API Management: It is useful for creating, publishing, protecting, and monitoring APIs. Along with this, its key features include API gateway, Developer portal, API analytics Etc. Furthermore, it also offers great security features for authentication, authorization, rate limiting Etc.
Azure Backup and Disaster Recovery: MS Azure provides great backup and recovery solutions for Azure resources. Along with this, it also provides a great backup of virtual machines, databases, and other resources. Furthermore, it ensures disaster recovery solutions like Azure Site Recovery.
Azure Monitor: This is a comprehensive monitoring solution for Azure resources. Along with this, it helps in collecting and analysing logs from various Azure resources. This solution ensures better application insights and helps in monitoring the performance and health of web applications.
Azure Portal: This is a web-based interface that provides a centralized platform for managing Azure resources. Using it allows you to create, configure, monitor, and troubleshoot the Azure services. Examples of the Azure services are virtual machines, storage accounts, and databases.
Azure CLI (Command-Line Interface): This refers to a command-line tool and using it helps you interact with Azure resources from your terminal or command prompt. Along with this, the solution provides businesses with a flexible and efficient way to automate tasks and scripts.
Azure PowerShell: It refers to a PowerShell module useful for scripting the PowerShell scripting language to interact with Azure resources. Along with this, this solution offers a similar experience to Azure CLI but with a PowerShell-specific syntax. Above all, it also facilitates improved integration with the PowerShell ecosystem.
Azure Resource Manager (ARM): This is a popular deployment and management service useful for defining and managing groups of related resources. Along with this, it helps in defining the desired state of your resources. These can further be deployed and managed consistently.
Azure DevOps: It is a popular cloud-based DevOps platform that comes with a wide range of tools for planning, developing, testing, and deploying applications. Along with this, it consists of various features such as version control, build automation, testing, and release management.
Azure Monitor: This refers to a popular service that is useful for providing insights into the performance and health of your Azure resources. Along with this, it helps in collecting and analysing data from various sources. Furthermore, it also helps in identifying the issues and optimizing your applications.
Azure Kubernetes Service (AKS): It refers to a managed Kubernetes service useful for simplifying the management of containerized applications on Azure. Along with it, this solution provides businesses with a managed Kubernetes environment. Thus, ensuring a better focus on building and deploying your applications.
Azure Data Factory: This is a cloud-based data integration service that is useful for creating, scheduling and monitoring the data-driven services. Along with this, it helps in extracting the data, then transforming it and then loading it from various sources. Thus, following the ETL process.
Azure Key Vault: It refers to a popular cloud-based service useful for securely storing and managing cryptographic keys. Along with this, it helps in protecting sensitive business information, such as API keys, passwords, and certificates.
Azure Virtual Machines (VMs): This solution is useful for providing a highly scalable and flexible computing platform. This helps in running various applications and workloads. Along with this, Azure VMs allow businesses to choose from a wide range of virtual machine types and operating systems.
Azure Functions: It is a popular serverless computing platform that is useful for running the code without having to manage infrastructure. Along with this, it allows you to create functions that are triggered by various events. Such examples are HTTP requests, timers, or messages from other Azure services.
Azure Logic Apps: This is a low-code integration platform that is useful for creating and automating workflows by connecting various applications, services, and data. Along with this, the Logic apps allow you to use the pre-built connectors or create custom connectors for integration with multiple systems.
Azure Storage Explorer: It is a popular cross-platform desktop application useful for providing users with a graphical interface for managing Azure storage resources. Along with this, it also helps in browsing, uploading, downloading, and deleting files and blobs stored.
Azure Active Directory (AD): This refers to a popular cloud-based identity and access management service. This is primarily useful for providing businesses with single sign-on (SSO) capabilities along with multi-factor authentication, and user management.
Azure Service Bus: This refers to a cloud-based messaging service that facilitates reliable and scalable communication between applications. Along with it, this solution offers features like queues, topics, and subscriptions for message routing and delivery.
Azure SQL Database: It refers to a fully managed relational database service that is compatible with SQL Server. Along with it, this solution also provides businesses with various performance tiers and pricing options. Thus, helping in meeting the different workload requirements.
Azure Event Grid: This refers to a fully managed event routing service that is useful for easily building event-driven applications. Along with it, this solution helps you react to the events from various Azure resources and custom sources.
Azure API Management: This refers to a cloud-based service that is useful for creating, managing, and securing the APIs. Along with this, it provides various features such as API publishing, API gateway, API security, API analytics etc.
Azure Traffic Manager: This refers to a popular DNS-based load balancer that is useful for distributing traffic across multiple endpoints. Examples are web applications, services, or virtual machines. Along with it, this solution provides various features such as traffic distribution, failover, session affinity Etc.
Azure Sentinel: It is a popular cloud-native security information and event management (SIEM) solution. Its primary usage is to detect, investigate, and respond to threats in your hybrid and cloud environments. Above all, it ensures threat detection, investigation and better response.
Cloud Computing: This is useful for understanding cloud concepts such as IaaS, PaaS, SaaS Etc. This solution facilitates the deployment and management of cloud resources along with better cost optimization and resource management.
Virtualization: It offers better virtualization features and helps in creating and managing virtual machines. Furthermore, you will understand the hypervisor technologies. It is also useful for migrating workloads to the cloud.
Networking: This is useful for designing and configuring virtual networks. Furthermore, it also helps in implementing network security (firewalls, VPNs). Along with this, it is also necessary to understand the networking protocols (TCP/IP, DNS).
Security and Compliance: This solution is for implementing security best practices (encryption, access control). Along with this, it ensures better compliance with regulations (GDPR, HIPAA, etc.). Above all, its primary responsibility is to manage the identity and access management.
Scripting (PowerShell, Azure CLI): This is useful for automating tasks and managing Azure resources using scripting languages. Above all, it is also useful for understanding PowerShell and Azure CLI commands.
Automation: This is useful for automating repetitive tasks to improve efficiency and reduce errors. Furthermore, it uses various techniques such as scripting, workflow automation, and robotic process automation (RPA).
Containerization (Docker, Kubernetes): It is useful for packaging applications and their dependencies into containers for portability and isolation. Along with this, its key technologies include Docker (container runtime) along Kubernetes (container orchestration).
DevOps: This refers to a set of practices and tools useful for automating software delivery and infrastructure management. Along with this, its key concepts include continuous Integration (CI), Continuous Delivery (CD) and Infrastructure as Code (IaC).
Database Management (SQL, NoSQL): This includes SQL Databases which are Relational databases like MySQL, PostgreSQL, and SQL Server. Along with this, it also consists of NoSQL Databases such as MongoDB, Cassandra, and Redis.
Identity and Access Management (IAM): The primary purpose of this skill is to manage user identities, roles, and permissions. Along with this, it also consists of the key concepts such as authentication, authorization, single sign-on, multi-factor authentication
Monitoring and Troubleshooting: This is primarily useful for ensuring the performance, reliability, and security of applications and systems. Along with this, it includes various Logging, metrics, alerts, and troubleshooting tools.
Application Development: This is useful for building and maintaining software applications. Along with this, it consists of various skills such as programming languages (Python, Java, C#), frameworks (Django, Flask, React), and software development methodologies.
Data Engineering: This skill is useful for designing, building, and maintaining data pipelines and infrastructure. Along with this, it consists of various skills for data ingestion, transformation, storage, and analysis.
Machine Learning and AI: These skills are useful for developing and deploying machine learning models and AI applications. Along with this, it consists of various skills such as algorithms, deep learning frameworks and data science techniques.
API Management: This is useful for designing, building, and managing the APIs for integration with other applications. Along with this, it consists of various skills for RESTful API design, API security, and API gateways.
Serverless Computing: It is useful for running code without managing the underlying infrastructure. Along with it, this skill requires key technologies such as AWS Lambda, Azure Functions, and Google Cloud Functions.
Load Balancing: The primary purpose of load balancing is to distribute the traffic across multiple servers to improve performance and availability. Along with it, this skill requires various techniques such as Load balancers and traffic managers.
Disaster Recovery: Its primary purpose is to plan for and recover from system failures or disasters. Along with this, it includes various strategies such as backup and restore disaster recovery plans and failover mechanisms.
Storage Management: The store management skills are necessary for managing data storage and retrieval. Along with this, it consists of key concepts such as storage types (object, block, file), data redundancy, and performance optimization.
Infrastructure as Code (IaC): It is for defining and managing the infrastructure using code. Along with this, it also uses various tools such as Terraform, Ansible, and CloudFormation. Furthermore, it helps in building and managing modern cloud-native applications.
Azure Fundamentals (AZ 900): This refers to the foundational certification for Azure that provides a general understanding of cloud computing concepts. Along with this, it is an ideal credential for candidates new to Azure or those looking for a basic overview.
Azure Administrator Associate (AZ 104): The primary goal of this credential is to focus on the skills required to manage and administer Azure resources. Along with this, it covers topics like creating virtual machines, managing storage, implementing networking, and implementing security.
Azure Developer Associate (AZ 204): This credential validates your ability to develop cloud-native applications on Azure. Along with this, it also covers various topics such as building web applications, using Azure App Services and implementing Azure Functions.
Azure AI Engineer Associate (AI 102): Gaining this credential showcases that you have the necessary skills to build and deploy the AI solutions on Azure. Along with this, it includes various topics such as machine learning, natural language processing, computer vision, and responsible AI.
Azure Data Scientist Associate (DP 100): This credential is useful for validating your ability to build and deploy machine learning models on Azure. Along with this, it is ideal for data scientists, machine learning engineers, and data analysts.
Azure Security Engineer Associate (AZ 500): The primary focus of this credential is to validate your skills in implementing security solutions on Azure. Along with this, its target audience is security engineers, cloud architects, and IT professionals responsible for cloud security.
Azure Solutions Architect Expert (AZ 305): This credential is for validating your expertise in designing and implementing complex cloud solutions on Azure. The target audience of this credential is cloud architects, solutions architects, and IT professionals who design and implement large-scale cloud solutions.
Azure DevOps Engineer Expert (AZ 400): Gaining this credential validates your skills in implementing and managing DevOps practices on Azure. Along with this, the target audience of this credential is DevOps engineers, software engineers, and IT professionals.
Azure Data Engineer Associate (DP 203): The primary focus of this credential is to validate your ability to design and implement data pipelines on Azure. Along with this, the target audience of this credential is data engineers, data analysts, and big data professionals.
Azure AI Fundamentals (AI 900): The primary focus of this credential is to provide a foundational understanding of artificial intelligence and machine learning concepts on Azure. Furthermore, it is an ideal credential for individuals new to AI.
Azure Data Fundamentals (DP 900): This certification showcases that you have a foundational understanding of data analytics and data management on Azure. The target audience of this credential is those who are new to data analytics.
Azure IoT Developer Specialty (AZ 220): The primary focus of this credential is to validate your skills in developing IoT solutions on Azure. Along with this, its target audience is the IoT developers and engineers who want to build IoT applications using Azure services.
Azure Virtual Desktop Specialty (AZ 140): Gaining this credential validates your skills in deploying and managing Azure Virtual Desktop (AVD) environments. Along with this, it is ideal for IT professionals who work on implementing and managing virtual desktop infrastructure.
Azure Network Engineer Associate (AZ 700): This credential focuses on validating your skills in designing, implementing, and managing Azure network infrastructure. Professionals such as Network engineers and architects usually opt for this credential.
Azure Cosmos DB Developer Specialty (DP 420): This certification validates your expertise in designing, developing, and deploying applications using Azure Cosmos DB. Furthermore, the core concept of the credential is understanding the core concepts of Azure Cosmos DB.
Azure Cloud Architect: These professionals are responsible for designing and implementing cloud solutions on Azure. Along with this, they also have to collaborate with business stakeholders and technical teams. Above all, their primary job role is to develop cloud architecture diagrams, blueprints, and roadmaps.
Azure Administrator: These professionals have to manage the Azure resources, including virtual machines, storage, networking, and security. Along with this, these work on configuring and managing Azure services like Azure Active Directory.
Azure Developer: They have to work on building and deploying the cloud-native applications on Azure. Along with this, they also work on developing the APIs, web applications, and serverless functions. These professionals also integrate Azure services into applications, such as storage, databases, and messaging.
Azure DevOps Engineer: These professionals have to implement the DevOps practices and tools to automate software delivery. Along with this, they also configure CI/CD pipelines using Azure DevOps Services. Furthermore, they also have to manage source control, builds, testing, and deployment processes.
Azure Data Engineer: As an Azure Data Engineer, you will be primarily responsible for designing and building data pipelines, data warehouses, and data lakes on Azure. Furthermore, they also have to Extract, transform, and load data from various sources. Above all, they also work on implementing data governance and security measures.
Azure AI Engineer: These professionals have to develop and deploy artificial intelligence solutions on Azure. Along with this, they also train and fine-tune machine learning models using Azure Machine Learning. Above all, these professionals integrate AI models into applications and services.
Azure Security Engineer: These professionals are responsible for designing, implementing, and managing security solutions on Azure. Along with this, they have to develop and enforce security policies and standards. Furthermore, these professionals also conduct security assessments and vulnerability scans.
Azure Solutions Architect: The primary job role of these professionals is to design and implement complex cloud solutions on Azure. Along with this, they have to use various factors like scalability, performance, and cost-effectiveness. These professionals also collaborate with business stakeholders and technical teams to understand requirements.
Azure Database Administrator: They have to manage and administer the Azure database services. Furthermore, these professionals have to perform database tuning, backup and recovery, and performance optimization. Above all, they ensure database security and compliance.
Azure Networking Engineer: As an Azure Networking engineer, these professionals have to work on designing and implementing the Azure network infrastructure. Furthermore, they also configure the network connectivity, routing, and load balancing.
Azure IoT Engineer: These professionals have to develop and deploy the Internet of Things (IoT) solutions on Azure. Along with this, they also integrate the IoT devices with Azure services like IoT Hub, Event Hubs, and Time Series Insights. Furthermore, they also work on processes and analyze IoT data.
Azure Machine Learning Engineer: These professionals are responsible for building, deploying, and managing machine learning models on the Azure platform. Along with this, they have to leverage Azure's powerful tools and services to develop and implement AI solutions.
Azure Consultant: These professionals have to provide expert guidance and consulting services to organizations using Azure. Along with this they also help the clients assess their cloud needs, design cloud solutions, and migrate workloads to Azure
Azure Site Reliability Engineer (SRE): As an Azure site reliability engineer, you will have to work on the reliability, performance, and availability of Azure-based applications. Furthermore, these professionals have to develop and implement monitoring, alerting, and automation solutions.
Azure Automation Engineer: The primary job role of these professionals is to automate the tasks and processes using Azure Automation. Furthermore, these professionals also create and manage runbooks for automating routine tasks. Above all, they also have to integrate the automation with other Azure services.
Azure Infrastructure Engineer: As an Azure Infrastructure engineer, you will have to design, build and manage the underlying infrastructure for Azure solutions. Along with this, they also implement and configure networking, storage, and compute resources. Furthermore, these professionals ensure infrastructure performance, scalability, and security.
Azure Support Engineer: These professionals have to provide technical support and troubleshooting for Azure customers. Along with this, they also resolve customer issues and inquiries related to Azure services. Furthermore, these professionals also monitor the Azure environments for performance and health.
Azure Migration Specialist: As a Microsoft Azure migration specialist, you will be primarily responsible for assisting organizations in migrating their workloads to Azure. Along with this, they also have to assess the existing infrastructure and identify suitable migration strategies. Above all, these professionals work on executing migration projects.
Azure Governance Lead: The primary job responsibility of these professionals is to develop and implement the governance policies and standards for Azure environments. Along with this, they also ensure compliance with the best regulatory requirements and best practices.
Azure DevSecOps Engineer: As a DevSecOps engineer, your primary job role is to integrate security into the DevOps lifecycle. Furthermore, these professionals also have to implement security controls and practices throughout the development and deployment process.
Azure Cloud Architect:
Azure Administrator:
Azure Developer:
Azure DevOps Engineer:
Azure Data Engineer:
Azure AI Engineer:
Azure Security Engineer:
Azure Solutions Architect:
Azure Database Administrator:
Azure Networking Engineer:
Azure IoT Engineer:
Azure Machine Learning Engineer:
Azure Consultant:
Azure Site Reliability Engineer (SRE):
Azure Automation Engineer:
Azure Infrastructure Engineer:
Azure Support Engineer:
Azure Migration Specialist:
Azure Governance Lead:
Azure DevSecOps Engineer:
You will get a chance to apply for the certifications at different levels like associate level, intermediate level, or the expert level.
You may choose the right career path that suits your expertise or skills the most.
You are free to choose anyone certification program that is job-oriented and it will surely make you industry-ready to work immediately.
Get the flexibility to work on various Azure roles and gain analytical skills, logical skills, or communication skills too.
You can experience tremendous career growth and boost the overall confidence on the completion of Microsoft Azure online training.
You must know how to understand the current business environment and suggest the best solutions based on existing problems.
Learn to solve the pain points and how to meet the business requirements efficiently.
You should have a sound idea of designing, developing, and implementing cloud solutions reliably.
You must know how to design a scalable business solution that could match the business expectations.
You should know how to take the backup of the data so that it can be made accessible at the time of need.
You should be able to design highly secure cloud solutions where unauthorized users cannot get access.
You should know how to monitor or maintain the cloud systems where everything is working just the GREAT.
By registering here, I agree to Croma Campus Terms & Conditions and Privacy Policy
26-Oct-2024*
28-Oct-2024*
30-Oct-2024*
26-Oct-2024*
28-Oct-2024*
30-Oct-2024*
Program fees are indicative only* Know more
We can set up a batch at your convenient time.
Trainer Profiles
Trained Students
Success Ratio
Corporate Training
Job Assistance
FOR QUERIES, FEEDBACK OR ASSISTANCE
Best of support with us
Azure Fundamentals.
Azure Virtual Machines and Virtual Networks.
Azure Storage.
Azure App Service Web Apps.
Application Insights.
Azure Logic Apps & Function Apps.
Azure Key Vault.
Azure Cosmo DB.
Azure Redis Cache.
Azure SQL.
Manage Azure identities and governance (15-20%)
Implement and Manage Storage (10-15%)
Deploy and Manage Azure Compute Resources (25-30%)
Configure and Manage Virtual Networking (30-35%)
Monitor and Back up Azure Resources (10-15%)
Placement Guide
Cloud Computing Basics
Why Cloud computing
What is Microsoft Azure’
Cloud terminologies
Fault Tolerance and Disaster Recovery
Describe the principles of economies of scale
Describe the consumption-based model
Describe Infrastructure-as-a-Service (IaaS),
Describe Platform-as-a-Service (PaaS)
Describe Software-as-a-Service (SaaS)
Describe Public cloud
Describe Private cloud
Describe Hybrid cloud
Compare and contrast the three different cloud models
Describe Azure Architecture
Describe Regions
Describe Availability Zones
Describe Resource Groups
Describe Azure Resource Manager
Azure Portal
Azure Virtual Machines
Azure Resource Manager VM
Introduction to ARM Templates
Create an Image from VM Snapshots
Create and configure a VM for Windows and Linux
Automate deployment of VMs
Manage Azure VM
Azure Virtual Networks
IP Addresses – Public & Private
Subnets
Network Interface Cards (NICs)
Network Security Groups (NSGs)
Azure Storage Replication
Azure Storage Explorer
Attach or Detach an External Storage Account
Shared Access Signatures (SAS)
Attach a Storage Account using SAS
Azure Blob Storage
Azure File Storage
Azure Queue Storage
Azure Table Storage
Create and configure storage accounts
Import and export data to Azure
Configure Azure files
Create an Azure App Service Web App
Create an Azure App Service background task by using Web Jobs
Enable diagnostics logging
Create an Azure Web App for Containers
Monitor service health by using Azure Monitor
Manage Azure identities and governance.
Implement and Manage Storage.
Deploy and Manage Azure Compute Resources.
Configure and Manage Virtual Networking.
Monitor and Back up Azure Resources.
create users and groups
manage user and group properties
manage device settings
perform bulk user updates
manage guest accounts
configure Azure AD Join
configure self-service password reset
NOTE: Azure AD Connect; PIM
create a custom role
provide access to Azure resources by assigning roles
subscriptions
resource groups
resources (VM, disk, etc.)
interpret access assignments
manage multiple directories
configure Azure policies
configure resource locks
apply tags
create and manage resource groups
move resources
remove RGs
manage subscriptions
configure Cost Management
configure management groups
configure network access to storage accounts
create and configure storage accounts
generate shared access signature
manage access keys
implement Azure storage replication
configure Azure AD Authentication for a storage account
export from Azure job
import into Azure job
install and use Azure Storage Explorer
copy data by using AZ Copy
create an Azure file share
create and configure Azure File Sync service
configure Azure blob storage
configure storage tiers for Azure blobs
configure high availability
deploy and configure scale sets
modify Azure Resource Manager (ARM) template
configure VHD template
deploy from template
save a deployment as an ARM template
automate configuration management by using custom script extensions
configure Azure Disk Encryption
move VMs from one resource group to another
manage VM sizes
add data discs
configure networking
redeploy VMs
create and configure Azure Kubernetes Service (AKS)
create and configure Azure Container Instances (ACI)
NOT: selecting a container solution architecture or product; container registry settings
create and configure App Service
create and configure App Service Plans
NOT: Azure Functions; Logic Apps; Event Grid
create and configure VNET peering
configure private and public IP addresses, network routes, network interface, subnets, and virtual network
configure Azure DNS
configure custom DNS settings
configure a private or public DNS zone
create security rules
associate an NSG to a subnet or network interface
evaluate effective security rules
deploy and configure Azure Firewall
deploy and configure Azure Bastion Service
NOT: Implement Application Security Groups; DDoS
configure Application Gateway
configure an internal load balancer
configure load balancing rules
configure a public load balancer
troubleshoot load balancing
NOT: Traffic Manager and Front Door and Private Link
monitor on-premises connectivity
use Network Performance Monitor
use Network Watcher
troubleshoot external networking
troubleshoot virtual network connectivity
create and configure Azure VPN Gateway
create and configure VPNs
configure ExpressRoute
configure Azure Virtual WAN
Develop Azure Compute Solution.
Develop for Azure storage.
Implement Azure security.
Monitor, troubleshoot, and optimize solutions.
Connect to and consume Azure and third-party services.
Validate your technical skills like storage, networking, compute, security, and other Cloud operations on Microsoft Azure.
Validate your development skills and showcase your expertize in building cloud solutions, apps, and services.
Top-paying info-tech certification in the world.
It provides you with global recognition for your knowledge, skills, and experience.
The organization looks for those who know Oracle Cloud, AWS, Azure, etc.
Introduction to Cloud Computing
Microsoft Azure Overview
Microsoft Azure Services
Azure Subscriptions
Azure Resource Groups
Organizing Azure Resources
What are Virtual Machines
Introduction to ARM Templates
What are batch Jobs and Azure Batch Services
What is Kubernetes
provision VMs configure VMs for remote access
create ARM templates
create container images for solutions by using Docker
publish an image to the Azure Container Registry
run containers by using Azure Container Instance
Azure Kubernetes Service (AKS) is out of scope
create an Azure App Service Web App
enable diagnostics logging
deploy code to a web app
configure web app settings including SSL, API, and connection strings
implement auto scaling rules, including scheduled auto scaling, and scaling by operational or system metrics
implement input and output bindings for a function
implement function triggers by using data operations, timers, and web-hooks
implement Azure Durable Functions
select the appropriate API for your solution
implement partitioning schemes
interact with data using the appropriate SDK
set the appropriate consistency level for operations
create Cosmos DB containers
implement scaling (partitions, containers)
implement server-side programming including stored procedures, triggers, and change feed notifications
move items in Blob storage between storage accounts or containers
set and retrieve properties and metadata
interact with data using the appropriate SDK
implement data archiving and retention
implement hot, cool, and archive storage
implement OAuth2 authentication
create and implement shared access signatures
register apps and use Azure Active Directory to authenticate users
control access to resources by using role-based access controls (RBAC)
secure app configuration data by using the App Configuration and KeyVault API
manage keys, secrets, and certificates by using the KeyVault API
implement Managed Identities for Azure resources
Design Identity, Governance, and Monitoring Solutions.
Design Data Storage Solutions.
Design Business Continuity Solutions.
Design Infrastructure Solutions (25-30%).
Design a log routing solution
Recommend an appropriate level of logging
Recommend a monitoring tool(s) for a solution
Recommend a solution for securing resources with role-based access controls
Recommend an identity management solution
Recommend a solution for securing identities
Recommend an organizational and hierarchical structure for Azure resources
Recommend a solution for enforcing and auditing compliance
Recommend solutions to allow applications to access Azure resources
Recommend a solution that securely stores passwords and secrets
Recommend a solution for integrating applications into Azure AD
Recommend a user consent solution for applications
Recommend database service tier sizing
Recommend a solution for database scalability
Recommend a solution for encrypting data at rest, data in transmission, and data in use
Design Data Integration
Recommend a solution for data integration
Recommend a solution for storing relational data
Recommend a solution for storing semi-structured data
Recommend a solution for storing non-relational data
Recommend access control solutions to data storage
Recommend a data storage solution to balance features, performance, and cost
Design a data solution for protection and durability
Recommend a recovery solution for Azure, hybrid, and on-premises workloads that meets
Recovery objectives (RTO, RLO, RPO)
Understand the recovery solutions for containers
Recommend a backup and recovery solution for compute
Recommend a backup and recovery solution for databases
Recommend a backup and recovery solution for unstructured data
Identify the availability requirements of Azure resources
Recommend a high availability solution for Compute
Recommend a high availability solution for non-relational data storage
Recommend a high availability solution for relational data storage
Recommend a Virtual Machine-based compute solution
Recommend an appropriately sized compute solution based on workload requirements
Recommend a Container-based compute solution
Recommend a Server less-based compute solution Describe Azure network security
Recommend a caching solution for applications
Recommend a messaging architecture
Recommend an event-driven architecture
Recommend an automated deployment solution for your applications
Recommend an application configuration management solution
Recommend a solution for API integration
Evaluate migration solution that leverages the Cloud Adoption Framework
Assess and interpret on-premises servers, data, and applications for migration
Recommend a solution for migrating applications and Virtual Machines
Recommend a solution for migrating databases
Recommend a solution for migrating unstructured data
Recommend a network architecture solution based on workload requirements
Recommend a connectivity solution that connects Azure resources to the Internet
Recommend a connectivity solution that connects Azure resources to on-premises networks
Optimize network performance for applications
Recommend a solution to optimize network security
Recommend a load balancing and routing solution
Introduction.
Develop an instrumentation strategy.
Develop a Site Reliability Engineering (SRE) strategy.
Develop a security and compliance plan (10-15%).
Manage source control.
Facilitate communication and collaboration.
Define and implement continuous integration.
Design a Package Management Strategy.
Implement & Maintain a build strategy.
Develop deployment scripts and templates.
Release Management Strategy.
Course Overview
Introduction to Cloud computing
Introduction to Azure
Self-hosting to cloud hosting
Azure Services
Azure Regions
Introduction to DevOps
Where did DevOps come from
What problems led to the creation of DevOps
How is DevOps different from Traditional IT
Why you need DevOps
DevOps Implementation Features
DevOps Lifecycle Phases and Measures
Workflow in DevOps
How DevOps Improved the Development and Operation Process
High Demand roles in DevOps
Future scope of DevOps
assess and Configure a log framework
design a log aggregation and storage strategy (e.g. Azure storage)
design a log aggregation using Azure Monitor
manage access control to logs (workspace-centric/resource-centric)
integrate crash analytics (App Center Crashes, Crashlytics)
design and implement distributed tracing
inspect application performance indicators
inspect infrastructure performance indicators
define and measure key metrics (CPU, memory, disk, network)
implement alerts on key metrics (email, SMS, webhooks, Teams/Slack)
integrate user analytics (e.g. Application Insights funnels, Visual Studio App Center, TestFlight, Google Analytics)
configure and integrate container monitoring (Azure Monitor, Prometheus,)
configure and integrate with monitoring tools (Azure Monitor Application Insights, Dynatrace, New Relic, Nagios, Zabbix)
create feedback loop from platform monitoring tools (e.g. Azure Diagnostics VM extensions, Azure Platform Logs, Event Grid)
manage Access control to the monitoring platform
identify and recommend metrics on which to base alerts
implement alerts using appropriate metrics
implement alerts based on appropriate log messages
implement alerts based on application health checks
analyze combinations of metrics
develop communication mechanism to notify users of degraded systems
implement alerts for self-healing activities (e.g. scaling, failovers)
analyze behavior of system with regards to load and failure conditions
calculate when a system will fail under various conditions
measure baseline metrics for system
recommend the appropriate tools for a failure prediction strategy
analyze system dependencies to determine which dependency should be included in
health check
calculate healthy response timeouts based on SLO for the service
design approach for partial health situations
integrate health check with compute environment
implement different types of health checks (liveness, startup, shutdown)
design an access solution (Azure AD Privileged Identity Management (PIM), Azure AD
Conditional Access, MFA)
organize the team using Azure AD groups
implement Service Principals and Managed Identity
configure service connections
evaluate and configure vault solution (Azure Key Vault, Hashicorp Vault)
generate security certificates
design a secrets storage and retrieval strategy
formulate a plan for deploying secret files as part of a release
automate dependencies scanning for security (container scanning, OWASP)
automate dependencies scanning for compliance (licenses: MIT, GPL)
assess and report risks
design a source code compliance solution (e.g. GitHub security, pipeline-based scans, Git hooks, SonarQube)
implement Azure policies to enforce organizational requirements
implement container scanning (e.g. static scanning, malware, crypto mining)
design and implement Azure Container Registry Tasks (Azure Policy)
design break-the-glass strategy for responding to security incidents
Overview.
Virtual Networks and Network Security.
Manage Identities.
Manage Access Control.
Implement advanced network security.
Configure advanced security for compute.
Manage security operations.
Secure data and applications.
Introduction to Cloud Computing
Overview of Microsoft Azure
Microsoft Azure Services
Azure Subscriptions
Management Groups
Azure Resource Manager
Azure Portal and PowerShell
Azure Resource Manager Policies
Azure Policy Definition Structure
Resource Management Locks
Organizing Azure Resources
Introduction
Azure Virtual Networks
IP Addresses – Public & Private
Classless Inter-domain Routing (CIDR)
Subnets
Network Interface Cards (NICs)
Network Security Groups (NSGs)
Network Security Group Rules
Virtual Network Service Endpoints
Service Endpoint Policies
Azure Load Balancer
Azure DNS
Plan and Design Azure Virtual Networks
add custom domains
Azure AD Join
configure self-service password reset
manage multiple directories
create users and groups
manage user and group properties
manage device settings
perform bulk user updates
manage guest accounts
install Azure AD Connect, including password hash and pass-through synchronization
use Azure AD Connect to configure federation with on-premises Active Directory Domain Services (AD DS)
manage Azure AD Connect
manage password sync and password writeback
configure user accounts for MFA
enable MFA by using bulk update
configure fraud alerts
configure bypass options
configure Trusted IPs
configure verification methods
monitor privileged access for Azure AD Privileged Identity Management (PIM)
configure Access Reviews
activate and configure PIM
configure Azure AD identity protection
create App Registration
configure App Registration permission scopes
manage App Registration permission consent
manage API access to Azure subscriptions and resources
configure subscription and resource permissions
configure resource group permissions
configure custom RBAC roles
identify the appropriate role
apply principle of least privilege
interpret permissions
check access
Provide Services (30-35%)
Implement Data Center Integration (15-20%)
Manage Identity and Access (10-15%)
Manage Infrastructure (30-35%)
Placement Guide
populate Azure Stack Hub Marketplace in a disconnected environment
create a custom Azure Stack Hub Marketplace item
manage lifecycle for Azure Stack Hub Marketplace items
plan an App Services resource provider deployment
deploy an App Services resource provider
update an App Services resource provider
scale roles based on capacity requirements
rotate App Services secrets and certificates
manage worker tiers
back up App Services
plan an Event Hubs resource provider deployment
deploy an Event Hubs resource provider
update an Event Hubs resource provider
rotate Event Hubs secrets and certificates
create and manage quotas
create and manage plans
create and manage offers
create and manage user subscriptions
change user subscription owner
set up usage data reporting
view and retrieve usage data by using the Usage API
manage usage and billing in multi-tenant and CSP scenarios
recommend a name resolution strategy
recommend a public and internal IP strategy
recommend a data center firewall integration strategy
recommend an identity provider
validate identity provider integration
configure the Time Server (NTP)
recommend a certificate strategy
validate the certificates
run secret rotation PowerShell cmdlet for external certificates
recommend a registration model
register in a connected environment
register in a disconnected environment
re-register
configure Azure Stack Hub home directory
register the guest tenant directory with Azure Stack Hub
disable multi-tenancy
update guest tenant directory
identify an appropriate method for access (service principal, users, groups)
provision a service principal for Azure Stack Hub
recommend a permission model
configure access in Azure Stack Hub
create a custom role
recommend a monitoring strategy
monitor system health by using the REST API
includes resource providers such as Event Hubs
monitor system health by using Syslog Server
manage field replacement or repair
configure automatic diagnostic log collection
collect diagnostic logs on demand by using Power shell
configure Syslog forwarding for Azure Stack Hub infrastructure
recommend a business continuity disaster recovery (BCDR) strategy
recommend a strategy for infrastructure backups
configure storage target for infrastructure backups
configure certificates for infrastructure backups
configure frequency and retention policy for infrastructure backups
plan for system capacity
manage partitioned GPUs
add nodes
manage storage capacity
add IP pools
update Azure Stack Hub
download and import update packages manually
update Azure AD Home Directory
connect to a privileged endpoint
configure the cloud admin user role
unlock a support session
close the session on the privileged endpoint
stop and start Azure Stack Hub
perform system diagnostics by using Test-Azure Stack
Describe Cloud Concepts.
Describe Core Azure Services.
Describe core solutions and management tools on Azure.
Describe general security and network security features.
Describe identity, governance, privacy, and compliance features.
Describe Azure cost management and Service Level Agreements.
Identify the benefits of cloud computing, such as High Availability, Scalability, Elasticity,
Agility, and Disaster Recovery
Identify the differences between Capital Expenditure (Cap Ex) and Operational
Expenditure (Op Ex)
Describe the consumption-based model
Describe the shared responsibility model
Describe Infrastructure-as-a-Service (IaaS),
Describe Platform-as-a-Service (PaaS)
Describe server less computing
Describe Software-as-a-Service (SaaS)
Identify a service type based on a use case
Define cloud computing
Describe Public cloud
Describe Private cloud
Describe Hybrid cloud
Compare and contrast the three types of cloud computing
Describe the benefits and usage of Regions and Region Pairs
Describe the benefits and usage of Availability Zones
Describe the benefits and usage of Resource Groups
Describe the benefits and usage of Subscriptions
Describe the benefits and usage of Management Groups
Describe the benefits and usage of Azure Resource Manager
Explain Azure resources
Describe the benefits and usage of Virtual Machines, Azure App Services, Azure
Container Instances (ACI), Azure Kubernetes Service (AKS), and Azure Virtual Desktop
Describe the benefits and usage of Virtual Networks, VPN Gateway, Virtual Network peering, and ExpressRoute
Describe the benefits and usage of Container (Blob) Storage, Disk Storage, File Storage, and storage tiers
Describe the benefits and usage of Cosmos DB, Azure SQL Database, Azure Database for MySQL, Azure Database for PostgreSQL, and SQL Managed Instance
Describe the benefits and usage of Azure Marketplace
Describe the benefits and usage of Internet of Things (IoT) Hub, IoT Central, and Azure Sphere
Describe the benefits and usage of Azure Synapse Analytics, HDInsight, and Azure Data bricks
Describe the benefits and usage of Azure Machine Learning, Cognitive Services and Azure Bot Service
Describe the benefits and usage of server less computing solutions that include Azure Functions and Logic Apps
Describe the benefits and usage of Azure DevOps, GitHub, GitHub Actions, and Azure Dev Test Labs
Describe the functionality and usage of the Azure Portal, Azure PowerShell, Azure CLI, Cloud Shell, and Azure Mobile App
Describe the functionality and usage of Azure Advisor
Describe the functionality and usage of Azure Resource Manager (ARM) templates
Describe the functionality and usage of Azure Monitor
Describe the functionality and usage of Azure Service Health
Describe basic features of Azure Security Center, including policy compliance, security alerts, secure score, and resource hygiene
Describe the functionality and usage of Key Vault
Describe the functionality and usage of Azure Sentinel
Describe the functionality and usage of Azure Dedicated Hosts
Describe the concept of defence in depth
Describe the functionality and usage of Network Security Groups (NSG)
Describe the functionality and usage of Azure Firewall
Describe the functionality and usage of Azure DDoS protection
Implement Data Storage Solutions (40-45%).
Manage and Develop Data Processing (25-30%).
Monitor and Optimize Data Solutions (30-35%).
Implement a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage
Implement data distribution and partitions
Implement a consistency model in Cosmos DB
Provision a non-relational data store
Provide access to data to meet security requirements
Implement for high availability, disaster recovery, and global distribution
Provide access to data to meet security requirements
Implement for high availability and disaster recovery
Implement data distribution and partitions for azure synapse analytics
Implement poly base
Implement data masking
Encrypt data at rest and in motion
Develop batch processing solutions by using Data Factory and Azure Databricks
Ingest data by using Poly Base
Implement the integration runtime for Data Factory
Create linked services and datasets
Create pipelines and activities
Create and schedule triggers
Implement Azure Databricks clusters, notebooks, jobs, and autoscaling
Ingest data into Azure Databricks
Configure input and output
Select the appropriate built-in functions
Implement event processing by using stream analytics
Monitor relational and non-relational data stores
Implement blob storage monitoring
Implement data lake storage gen2 monitoring
Implement azure synapse analytics monitoring
Implement cosmos DB monitoring
Configure azure monitor alerts
Implement auditing by using azure log analytics
Monitor Data Factory pipelines
Monitor Azure Databricks
Monitor Stream Analytics
Configure Azure Monitor alerts
Implement auditing by using Azure Log Analytics
Troubleshoot data partitioning bottlenecks
Optimize data lake storage gen2
Optimize stream analytics
Optimize azure synapse analytics
Manage the data lifecycle
Tips to clear an Interview
Common Interview questions and answers
DP-200 Interview Questions and Answers
Resume Building Guide
Attempt for DP-200 Global Certification Exam
Earn Credentials and Start applying for Jobs
Design Azure Data Storage Solutions.
Design Data Processing Solutions.
Design for Data Security and Compliance.
Choose the correct data storage solution to meet technical & business requirements
Choose the partition distribution type
Design data distribution and partitions
Design for scale (including multi-region, latency, and throughput)
Design a solution that uses cosmos DB, data lake storage gen2, or blob storage
Select the appropriate cosmos DB API
Design a disaster recovery strategy
Design for high availability
Design data distribution and partitions
Design for scale (including latency, and throughput)
Design a solution that uses azure synapse analytics
Design a disaster recovery strategy
Design for high availability
Design batch processing solutions that use Data Factory and Azure Databricks
Identify the optimal data ingestion method for a batch processing solution
Identify where processing should take place, such as at the source, at the destination, or in transit
Design for real-time processing by using Stream Analytics and Azure Databricks
Design and provision compute resources
Plan for secure endpoints (private/public)
Choose the appropriate authentication mechanism, such as access keys, shared access signatures (SAS), and azure active directory (azure ad)
Design data encryption for data at rest and in transit
Design for data auditing and data masking
Design for data privacy and data classification
Design a data retention policy
Plan an archiving strategy
Plan to purge data based on business requirements
Tips to clear an Interview
Common Interview questions and answers
DP-201 Interview Questions and Answers
Resume Building Guide
Attempt for DP-201 Global Certification Exam
Earn Credentials and Start applying for Jobs
Design and Implement Data Storage.
Design and Develop Data Processing.
Design and Implement Data Security.
Monitor and Optimize Data Storage and Data Processing.
Design an Azure Data Lake solution
Recommend file types for storage
Recommend file types for analytical queries
Design for efficient querying
Design for data pruning
Design a folder structure that represents the levels of data transformation
Design a distribution strategy
Design a partition strategy for files
Design a partition strategy for analytical workloads
Design a partition strategy for efficiency/performance
Design a partition strategy for Azure Synapse Analytics
Identify when partitioning is needed in Azure Data Lake Storage Gen2
Design star schemas
Design slowly changing dimensions
Design a dimensional hierarchy
Design a solution for temporal data
Design for incremental loading
Design analytical stores
Design meta stores in Azure Synapse Analytics and Azure Data bricks
Implement compression
Implement partitioning
Implement sharing
Implement different table geometries with Azure Synapse Analytics pools
Implement data redundancy
Implement distributions
Implement data archiving
Build a temporal data solution
Build a slowly changing dimension
Build a logical folder structure
Build external tables
Implement file and folder structures for efficient querying and data pruning
Deliver data in a relational star schema
Deliver data in Parquet files
Maintain metadata
Implement a dimensional hierarchy
Transform data by using Apache Spark
Transform data by using Transact-SQL
Transform data by using Data Factory
Transform data by using Azure Synapse Pipelines
Transform data by using Stream Analytics
Cleanse data
Split data
Shred JSON
Encode and decode data
Configure error handling for the transformation
Normalize and deformalize values
Transform data by using Scala
Perform data exploratory analysis
Develop batch processing solutions by using Data Factory, Data Lake, Spark, Azure
Synapse Pipelines, Polybasic, and Azure Data bricks
Create data pipelines
Design and implement incremental data loads
Design and develop slowly changing dimensions
Handle security and compliance requirements
Scale resources
Configure the batch size
Design and create tests for data pipelines
Integrate Jupyter/Python notebooks into a data pipeline
Handle duplicate data
Handle missing data
Handle late-arriving data
Upset data
Regress to a previous state
Design and configure exception handling
Configure batch retention
Design a batch processing solution
Debug Spark jobs by using the Spark UI
Develop a stream processing solution by using Stream Analytics, Azure Data bricks, and
Azure Event Hubs
Process data by using Spark structured streaming
Monitor for performance and functional regressions
Design and create windowed aggregates
Handle schema drift
Process time series data
Process across partitions
Process within one partition
Configure checkpoints/watermarking during processing
Scale resources
Design and create tests for data pipelines
Optimize pipelines for analytical or transactional purposes
Handle interruptions
Design and configure exception handling
Upset data
Replay archived stream data
Design a stream processing solution
Trigger batches
Handle failed batch loads
Validate batch loads
Manage data pipelines in Data Factory/Synapse Pipelines
Schedule data pipelines in Data Factory/Synapse Pipelines
Implement version control for pipeline artefacts
Manage Spark jobs in a pipeline
Design data encryption for data at rest and in transit
Design a data auditing strategy
Design a data masking strategy
Design for data privacy
Design a data retention policy
Design to purge data based on business requirements
Design Azure role-based access control (Azure RBAC) and POSIX-like Access Control List
(ACL) for Data Lake Storage Gen2
Design row-level and column-level security
Implement data masking
Encrypt data at rest and in motion
Implement row-level and column-level security
Implement Azure RBAC
Implement POSIX-like ACLs for Data Lake Storage Gen2
Implement a data retention policy
Implement a data auditing strategy
Manage identities, keys, and secrets across different data platform technologies
Implement secure endpoints (private and public)
Implement resource tokens in Azure Data bricks
Load a Data Frame with sensitive information
Write encrypted data to tables or Parquet files
Manage sensitive information
Implement logging used by Azure Monitor
Configure monitoring services
Measure performance of data movement
Monitor and update statistics about data across a system
Monitor data pipeline performance
Measure query performance
Monitor cluster performance
Understand custom logging options
Schedule and monitor pipeline tests
Interpret Azure Monitor metrics and logs
Interpret a Spark directed acyclic graph (DAG)
Compact small files
Rewrite user-defined functions (UDFs)
Handle skew in data
Handle data spill
Tune shuffle partitions
Find shuffling in a pipeline
Optimize resource management
Tune queries by using indexers
Tune queries by using cache
Optimize pipelines for analytical or transactional purposes
Optimize pipeline for descriptive versus analytical workloads
Troubleshoot a failed spark job
Troubleshoot a failed pipeline run
Plan and Implement Data Platform Resources (15-20%).
Implement a Secure Environment (15-20%).
Monitor and Optimize Operational Resources (15-20%).
Optimize Query Performance (5-10%).
Perform Automation of Tasks (10-15%).
Plan and Implement a High Availability and Disaster Recovery (HADR) Environment (15-20%).
Perform Administration by Using T-SQL (10-15%).
deploy database offerings on selected platforms
configure customized deployment templates
apply patches and updates for hybrid and IaaS deployment
evaluate requirements for the deployment
evaluate the functional benefits/impact of possible database offerings
evaluate the scalability of the possible database offering
evaluate the HA/DR of the possible database offering
evaluate the security aspects of the possible database offering
configure Azure SQL database/elastic pools for scale and performance
configure Azure SQL managed instances for scale and performance
configure SQL Server in Azure VMs for scale and performance
calculate resource requirements
evaluate database partitioning techniques, such as database sharding
set up SQL Data Sync
evaluate requirements for the migration
evaluate offline or online migration strategies
evaluate requirements for the upgrade
evaluate offline or online upgrade strategies
implement an online migration strategy
implement an offline migration strategy
implement an online upgrade strategy
implement an offline upgrade strategy
configure Azure AD authentication
create users from Azure AD identities
configure security principals
configure database and object-level permissions using graphical tools
apply principle of least privilege for all securables
implement Transparent Data Encryption (TDE)
implement object-level encryption
implement Dynamic Data Masking
implement Azure Key Vault and disk encryption for Azure VMs
configure server and database-level firewall rules
implement Always Encrypted
apply a data classification strategy
configure server and database audits
implement data change tracking
perform a vulnerability assessment
prepare an operational performance baseline
determine sources for performance metrics
interpret performance metrics
configure and monitor activity and performance at the infrastructure, server, service, and database levels
implement index maintenance tasks
implement statistics maintenance tasks
configure database auto-tuning
automate database maintenance tasks
manage storage capacity
configure Query Store to collect performance data
identify sessions that cause blocking
assess growth/fragmentation of databases and logs
assess performance-related database configuration parameters
configure storage and infrastructure resources
configure server and service account settings for performance
configure Resource Governor for performance
implement database-scoped configuration
configure compute resources for scaling
configure Intelligent Query Processing (IQP)
determine the appropriate type of execution plan
identify problem areas in execution plans
extract query plans from the Query Store
determine the appropriate Dynamic Management Views (DMVs) to gather query performance information
identify performance issues using DMVs
identify and implement index changes for queries
recommend query construct modifications based on resource usage
assess the use of hints for query performance
identify data quality issues with duplication of data
identify normal form of database tables
assess index design for performance
validate data types defined for columns
recommend table and index storage including file groups
evaluate table partitioning strategy
evaluate the use of compression for tables and indexes
Phone (For Voice Call):
+91-971 152 6942WhatsApp (For Call & Chat):
+91-8287060032Learn, Grow & Test your skill with Online Assessment Exam to
achieve your Certification Goals
Microsoft Azure Online Training in India is provided by Croma Campus Institute, that's a very popular training institute for online training at the cheapest price. Here the training is provided from a business as well as industry perspective.
Aspiring IT professionals and product managers are increasingly signing up for this course that promises to open up a series of career opportunities to those who acquire some level of expertise in it. The reference is to Microsoft Azure Online Training.
We additionally give Microsoft Azure online certification training way for our students in India. If you are interested in working with Microsoft Azure Online training, has a host of Microsoft online certification courses to get you ready for your next career move. Microsoft Azure-103, Microsoft Azure-203, Microsoft Azure-300, Microsoft Azure-900, Cloud Computing.
We have always provided live Project based training with trainers having 10 to 15 years of Industry Experience. Virtual machines and Azure network management, Azure storage, backup and recovery solutions, Azure SQL database concept, Azure architecture, Azure web app services.
For details information & FREE demo class call us on 120-4155255, +91-9711526942 or write to us info@cromacampus.com
Address: - G-21, Sector-03, Noida (201301)
If yes, Register today and get impeccable Learning Solutions!
The most traditional way to learn with increased visibility,monitoring and control over learners with ease to learn at any time from internet-connected devices.
Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.
Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.
Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.
With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.
Each certification associated with the program is affiliated with the top universities providing edge to gain epitome in the course.
For Voice Call
+91-971 152 6942For Whatsapp Call & Chat
+91-8287060032