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  • Exam Name: Cloudera Certified Administrator for Apache Hadoop (CCAH)
  • Last Update: 14-Jul-2024
  • Questions and Answers: 60
  • Single Choice: 50 Q&A's
  • Multiple Choice: 10 Q&A's

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CCA-500 Questions and Answers

Question # 1

You want to understand more about how users browse your public website. For example, you want to know which pages they visit prior to placing an order. You have a server farm of 200 web servers hosting your website. Which is the most efficient process to gather these web server across logs into your Hadoop cluster analysis?


Sample the web server logs web servers and copy them into HDFS using curl


Ingest the server web logs into HDFS using Flume


Channel these clickstreams into Hadoop using Hadoop Streaming


Import all user clicks from your OLTP databases into Hadoop using Sqoop


Write a MapReeeduce job with the web servers for mappers and the Hadoop cluster nodes for reducers

Question # 2

You need to analyze 60,000,000 images stored in JPEG format, each of which is approximately 25 KB. Because you Hadoop cluster isn’t optimized for storing and processing many small files, you decide to do the following actions:

1. Group the individual images into a set of larger files

2. Use the set of larger files as input for a MapReduce job that processes them directly with python using Hadoop streaming.

Which data serialization system gives the flexibility to do this?













Question # 3

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. (Choose two)


You must modify the configuration files on the NameNode only. DataNodes read their configuration from the master nodes


You must modify the configuration files on each of the DataNodes machines


You don’t need to restart any daemon, as they will pick up changes automatically


You must restart the NameNode daemon to apply the changes to the cluster


You must restart all six DatNode daemon to apply the changes to the cluster

Question # 4

You have A 20 node Hadoop cluster, with 18 slave nodes and 2 master nodes running HDFS High Availability (HA). You want to minimize the chance of data loss in your cluster. What should you do?


Add another master node to increase the number of nodes running the JournalNode which increases the number of machines available to HA to create a quorum


Set an HDFS replication factor that provides data redundancy, protecting against node failure


Run a Secondary NameNode on a different master from the NameNode in order to provide automatic recovery from a NameNode failure.


Run the ResourceManager on a different master from the NameNode in order to load-share HDFS metadata processing


Configure the cluster’s disk drives with an appropriate fault tolerant RAID level

Question # 5

You are configuring a server running HDFS, MapReduce version 2 (MRv2) on YARN running Linux. How must you format underlying file system of each DataNode?


They must be formatted as HDFS


They must be formatted as either ext3 or ext4


They may be formatted in any Linux file system


They must not be formatted - - HDFS will format the file system automatically

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