Cloudera Admin Certification Program

Cloudera Certified Administrator for Hadoop

(CCAH) Exam Code: CCA-410


Cloudera Certified Administrator for Apache Hadoop Exam :

  • Number of Questions: 60
  • Item Types: multiple-choice & short-answer questions
  • Exam time: 90 Mins.
  • Passing score: 70%
  • Price: $295 USD

Syllabus Cloudera Administrator Certification Exam

HDFS 38%
  • Describe the function of all Hadoop Daemons
  • Describe the normal operation of an Apache Hadoop cluster, both in data storage and in data processing.
  • Identify current features of computing systems that motivate a system like Apache Hadoop.
  • Classify major goals of HDFS Design
  • Given a scenario, identify appropriate use case for HDFS Federation
  • Identify components and daemon of an HDFS HA-Quorum cluster
  • Analyze the role of HDFS security (Kerberos)
  • Determine the best data serialization choice for a given scenario
  • Describe file read and write paths
  • Identify the commands to manipulate files in the Hadoop File System Shell.
MapReduce 10%
  • Understand how to deploy MapReduce MapReduce v1 (MRv1)
  • Understand how to deploy MapReduce v2 (MRv2 / YARN)
  • Understand basic design strategy for MapReduce v2 (MRv2)
Hadoop Cluster Planning 12%
  • Principal points to consider in choosing the hardware and operating systems to host an Apache Hadoop cluster.
  • Analyze the choices in selecting an OS
  • Understand kernel tuning and disk swapping
  • Given a scenario and workload pattern, identify a hardware configuration appropriate to the scenario
  • Cluster sizing: given a scenario and frequency of execution, identify the specifics for the workload, including CPU, memory, storage, disk I/O
  • Disk Sizing and Configuration, including JBOD versus RAID, SANs, virtualization, and disk sizing requirements in a cluster
  • Network Topologies: understand network usage in Hadoop (for both HDFS and MapReduce) and propose or identify key network design components for a given scenario
Hadoop Cluster Installation and Administration 17%
  • Given a scenario, identify how the cluster will handle disk and machine failures.
  • Analyze a logging configuration and logging configuration file format.
  • Understand the basics of Hadoop metrics and cluster health monitoring.
  • Identify the function and purpose of available tools for cluster monitoring.
  • Identify the function and purpose of available tools for managing the Apache Hadoop file system.
Resource Management 06%
  • Understand the overall design goals of each of Hadoop schedulers.
  • Given a scenario, determine how the FIFO Scheduler allocates cluster resources.
  • Given a scenario, determine how the Fair Scheduler allocates cluster resources.
  • Given a scenario, determine how the Capacity Scheduler allocates cluster resources
Monitoring and Logging 12%
  • Understand the functions and features of Hadoop’s metric collection abilities
  • Analyze the NameNode and JobTracker Web UIs
  • Interpret a log4j configuration
  • Understand how to monitor the Hadoop Daemons
  • Identify and monitor CPU usage on master nodes
  • Describe how to monitor swap and memory allocation on all nodes
  • Identify how to view and manage Hadoop’s log files
  • Interpret a log file
The Hadoop Ecosystem 05%
  • Understand Ecosystem projects and what you need to do to deploy them on a cluster.

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