1. HDFS (17%)
Describe the function of HDFS 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

2. YARN (17%)
Understand how to deploy core ecosystem components, including Spark, Impala, and Hive
Understand how to deploy MapReduce v2 (MRv2 / YARN), including all YARN daemons
Understand basic design strategy for YARN and Hadoop
Determine how YARN handles resource allocations
Identify the workflow of job running on YARN
Determine which files you must change and how in order to migrate a cluster from MapReduce version 1 (MRv1) to MapReduce version 2 (MRv2) running on YARN

 

 

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Exam Name: Cloudera Certified Administrator for Apache Hadoop (CCAH)
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NO.1 What two processes must you do if you are running a Hadoop cluster with a single NameNode
and six DataNodes, and you want to change a configuration parameter so that it affects all six
DataNodes.
A. You must modify the configuration files on the NameNode only. DataNodes read their
configuration from the master nodes
B. You must restart all six DatNode daemon to apply the changes to the cluster
C. You must modify the configuration files on each of the six SataNodes machines
D. You must restart the NameNode daemon to apply the changes to the cluster
E. You dont need to restart any daemon, as they will pick up changes automatically
Answer: C,D

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NO.2 Assuming youre not running HDFS Federation, what is the maximum number of NameNode
daemons you should run
on your cluster in order to avoid a "split-brain" scenario with your NameNode when running HDFS
High Availability
(HA) using Quorum-based storage?
A. One active NameNode and one Standby NameNode
B. Two active NameNodes and on Standby NameNode
C. Unlimited. HDFS High Availability (HA) is designed to overcome limitations on the number of
NameNodes you can deploy
D. Two active NameNodes and two Standby NameNodes
Answer: A

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