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Learn to perform data-related design tasks with Azure. Join now and learn under an Azure data engineer.

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CURRICULUM & PROJECTS

DP 201 Designing an Azure Data Solution Training

    Candidates for this exam must design data solutions that use the following Azure services: Azure Cosmos DB, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.

    In this program you will learn :

    • Design Azure Data Storage Solutions.
    • Design Data Processing Solutions.
    • Design for Data Security and Compliance.
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    Recommend an Azure data storage solution based on requirements :

    • Choose the correct data storage solution to meet technical & business requirements
    • Choose the partition distribution type

    Design non-relational cloud data stores :

    • 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 relational cloud data stores :

    • 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
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    Design batch processing solutions :

    • 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 real-time processing solutions :

    • Design for real-time processing by using Stream Analytics and Azure Databricks
    • Design and provision compute resources
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    Design security for source data access :

    • 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 security for data policies and standards :

    • 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
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    Our Placement Guide :

    • 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
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Course Design By

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Course Offered By

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Croma Campus

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32 Hrs.
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Flexible Batches For You
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    11-Oct-2025*

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    15-Oct-2025*

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  • flexible-focus-icon

    11-Oct-2025*

  • Weekend
  • SAT - SUN
  • Mor | Aft | Eve - Slot
  • flexible-white-icon

    13-Oct-2025*

  • Weekday
  • MON - FRI
  • Mor | Aft | Eve - Slot
  • flexible-white-icon

    15-Oct-2025*

  • Weekday
  • MON - FRI
  • Mor | Aft | Eve - Slot
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Mock Interviews

Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.
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