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Cloudera offers enterprise and express versions of its Cloudera Distribution, including Apache Hadoop. Cloudera’s view of the importance of qualified big data talent shines through the elements of its certification. It offers Cloudera Certified Hadoop Administrator (CCAH) Certification for professionals, who are responsible for configuring, deploying, maintaining, and securing Apache Hadoop clusters for production or other enterprise uses. Through this certification one can be expected to know the methods used by top Apache Hadoop Administrators.

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To know about the general aspects of CCAH you can refer to thislink.

CCAH Examination Pattern For CCAH & CCAH Upgrade Exam:

Exam Code: CCA-500

Number of Questions: 60

Duration: 90 minutes

Passing Score: 70%

Languages Available: English, Japanese (upcoming)

Exam Fee: USD $295

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The exam pattern is set in such a way that it focuses on demonstrating the candidate’s technical knowledge, skill, and ability to configure, deploy, maintain and secure an Apache Hadoop cluster and the ecosystem projects that comprise the Enterprise Data Hub.

CCAH Upgrade Exam:

Exam Code: CCA-505

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Number of Questions: 45

Duration: 90 minutes

Passing Score: 70%

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Price: USD $125

The pattern for CCAH and CDH5 remains the same for both. Also, note that the Hadoop ecosystem items are no longer treated separately as their own section but are integrated throughout the exam. Both CCA–500 and CCA–505 share the same proportion of items per section.

Let’s take a look at the exam pattern of CCA – 500;

HDFS – 17%

  • Function of HDFS Daemons
  • Normal operation of an Apache Hadoop cluster, in data storage as well as in data processing.
  • Current features of computing systems that motivate a system like Apache Hadoop.
  • Major goals of HDFS Design.
  • Identify appropriate use case for HDFS Federation in a given scenario.
  • Components and daemon of an HDFS HA-Quorum cluster.
  • Analyze the role of HDFS security (Kerberos).
  • Best data serialization choice for a given scenario.
  • File read and write paths.
  • Commands to manipulate files in the Hadoop file system shell.

YARN and MapReduce Version 2 – 17%

  • Upgrading a cluster from Hadoop 1.0 to Hadoop 2.0.
  • Deploy MRv2 / YARN with all YARN daemons.
  • Design strategy for MRv2.
  • How YARN handles resource allocations.
  • Workflow of MapReduce job running on YARN
  • Determine which files must be changed and how to migrate a cluster from MRv1 to MRv2 running on YARN.

Hadoop Cluster Planning – 16%

  • Things to consider when choosing the hardware and operating systems for an Apache Hadoop cluster.
  • Get insights on the choices for selecting an OS.
  • Good knowledge kernel tuning and disk swapping.
  • Establish a hardware configuration appropriate to a scenario.
  • Identify the ecosystem components needed by the cluster to fulfil the SLA, in a given scenario.
  • Find out the specifics for the workload, including CPU, memory, storage, disk I/O.
  • Understand network usage in Hadoop and come up with a network design components for a given scenario.

Hadoop Cluster Installation and Administration – 25%

  • How the cluster will handle disk and machine failures in a given scenario.
  • Analyze logging configuration and its file format.
  • Basics of Hadoop metrics and cluster wellness monitoring.
  • Know the function and purpose of available tools for cluster monitoring.
  • Install all the ecosystem components in CDH 5, like Impala, Flume, Oozie, Hue, Cloudera Manager, Sqoop, Hive, and Pig.
  • Discern the function and purpose of available tools for managing the Apache Hadoop file system.

Resource Management – 10%

  • Understand the overall design aspect and goals of each Hadoop scheduler.
  • Know how the FIFO Scheduler allocates cluster resources.
  • Determine how the Fair Scheduler allocates cluster resources under YARN.
  • Determine how the Capacity Scheduler allocates cluster resources.

Monitoring and Logging – 15%

  • Functions and features of Hadoop’s metric collection.
  • Analyze the NameNode and JobTracker Web UIs.
  • Monitor cluster Daemons.
  • Identify and monitor CPU usage on master nodes.
  • Know how to monitor swap and memory allocation on all nodes.
  • View and manage Hadoop’s log files.
  • Interpret a log file.

Note: The topics mentioned above are more of a guideline as to how to prepare for the examination. Cloudera recommends that a candidate thoroughly understand the objectives for each exam and utilize the resources and training courses recommended on these pages to gain a thorough understanding of the domain of knowledge related to the role the exam evaluates.

Practice Test Details

Cloudera Certification practice tests (paid) are designed to simulate the exam pattern of CCAH. It is recommended to take up this practice test prior to taking up the exam to evaluate your level of preparation.

Cloudera Hadoop Training

Here’s what you should be expecting in this practice test:

  • 60 questions resembling Cloudera Certification questions.
  • Detailed explanations for correct/incorrect answers to understand the concepts.
  • Practice tests are created by the same responsible for creating questions for Cloudera Certification exams.
  • Study any time and anywhere through smartphones and tablets.
  • Try a free Practice Test demo that includes 15 questions from CCAH.

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You can check out the guidelines for the practice test here.

Cloudera Training Courses

Other Study Guides for Taking up Cloudera Certified Administrator for Apache Hadoop (CCAH)

Are you all set to take up the Cloudera Certified Administrator for Apache Hadoop (CCAH) – CCA 500? Here’s where you can register for this examination.

Got a question for us? Please mention them in the comments section and we will get back to you.

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TRAINING SHEET
Administrator Training for Apache Hadoop
Take your knowledge to the next level with Cloudera’s Apache Hadoop Training and Certification Cloudera University’s three-day administrator training course for Apache Hadoop provides System Administrators a comprehensive understanding of all the steps necessary to operate and manage Hadoop clusters. From installation and configuration, through load balancing and tuning your cluster, Cloudera’s Administration course has you covered. Through lecture and interactive, hands-on exercises, attendees will cover topics such as • Introduction to Apache Hadoop and HDFS • Apache Hadoop architecture • Proper cluster configuration and deployment • Populating HDFS using Apache Sqoop • Management and monitoring tools • Job scheduling • Best practices for maintaining Apache Hadoop in Production
“Cloudera Administrator Training for Apache Hadoop helped me to advance my use of Apache Hadoop and cultivate a better understanding of the platform’s inner workings. The course material, interactive labs and exercises really helped cement together all the little bits and pieces that I had bumped into prior to the class into a useful mental model of how Apache Hadoop works.” Eric Marshall, Senior System Administrator
• Installing and managing other Apache Hadoop projects • Diagnosing, tuning and solving Apache Hadoop issues
Audience
This course is intended for experienced developers who wish to write, maintain, and/or optimize Apache Hadoop jobs. A background in Java is preferred, but experience with other programming language such as PHP, Python, or C# is sufficient. Knowledge of algorithms and other computer science topics is a plus. Upon completion of the course, attendees are able to attempt the Cloudera Certified Developer for Apache Hadoop (CCDH) exam. Certification is a great differentiator; it helps establish individuals as leaders in their field, providing customers with tangible evidence of their skills.
Cloudera, Inc. 210 Portage Avenue, Palo Alto, CA 94306 USA 1-888-789-1488 or 1-650-362-0488 cloudera.com ©2011 Cloudera, Inc. All rights reserved. Cloudera and the Cloudera logo are trademarks or registered trademarks of Cloudera Inc. in the USA and other countries. All other trademarks are the property of their respective companies. Information is subject to change without notice.
TRAINING SHEET
Administrator Training for Apache Hadoop Course Outline: Cloudera Administrator Training for Apache Hadoop • An Introduction To Hadoop And HDFS o Why Hadoop? o HDFS o MapReduce o Hive, Pig, HBase and other ecosystem projects o Hands-On Exercise: Installing a pseudo distributed cluster • Planning Your Hadoop Cluster o General Planning Considerations o Choosing The Right Hardware o Node Topologies o Choosing The Right Software • Deploying Your Cluster o Installing Hadoop o Using SCM Express for easy installation o Typical Configuration Parameters o Configuring Rack Awareness o Using Configuration Management Tools o Hands-On Exercise: Installing a Hadoop Cluster • Managing and Scheduling Jobs o Starting and stopping MapReduce jobs o Hands-On Exercise: Managing jobs o The FIFO Scheduler o The Fair Scheduler o Hands-On Exercise: Using the FairScheduler • Cluster Maintenance o Checking HDFS with fsck o Hands-On Exercise: Breaking the Cluster o Copying data with distcp
• Cluster Maintenance (continued) o Rebalancing cluster nodes o Adding and removing cluster nodes o Hands-On Exercise: Verifying the Cluster’s Self Healing Features o Backup And Restore o Upgrading and Migrating o Hands-On Exercise: Backing Up and Restoring the NameNode Metadata • Cluster Monitoring, Troubleshooting and Optimizing o Hadoop Log Files o Using the NameNode and JobTracker Web UIs o Interpreting Job Logs o Monitoring with Ganglia o Other monitoring tools o General Optimization Tips o Benchmarking Your Cluster • Populating HDFS From External Sources o Using Sqoop o Using Flume o Best Practices for Data Ingestion • Installing And Managing Other Hadoop Projects o Hive o Pig o HBase o Hands-On Exercise: Configuring the Hive Shared Metastore • Cloudera Certified Administrator Exam
Cloudera Certified Administrator for Apache Hadoop (CCAH)
Establish yourself as a trusted and valuable resource by completing the online certification exam for Apache Hadoop Administrators. The exam is demanding and is designed to test your fluency with concepts and terminology in the following areas: Apache Hadoop Cluster Overview
Daemons and normal operation of an Apache Hadoop cluster, both in data storage and in data processing. The current features of computing systems that motivate a system like Apache Hadoop
Apache Hadoop Cluster Planning
Principal points to consider in choosing the hardware and operating systems to host an Apache Hadoop cluster
Apache Hadoop Cluster Management
Cluster handling of disk and machine failures. Regular tools for monitoring and managing the Apache Hadoop file system
Job Scheduling
How the default scheduler and the fair scheduler handle the tasks in a mix of jobs running on a cluster
Monitor and Logging
Basic functionality and features of Apache Hadoop’s logging and monitoring systems
Cloudera, Inc. 210 Portage Avenue, Palo Alto, CA 94306 USA 1-888-789-1488 or 1-650-362-0488 cloudera.com ©2011 Cloudera, Inc. All rights reserved. Cloudera and the Cloudera logo are trademarks or registered trademarks of Cloudera Inc. in the USA and other countries. All other trademarks are the property of their respective companies. Information is subject to change without notice.