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Cloudera CCA-410 Exam Syllabus Topics:

Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

Question 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 only one of the DataNode machine
B. You must modify the configuration files on the NameNode only. DataNodes read their configuration from the master nodes.
C. You must modify the configuration files on each of the six DataNode machines.
D. You don't need to restart any daemon, as they will pick up changes automatically.
E. You must restart all six DataNode daemons to apply the changes to the cluster.
F. You must restart the NameNode daemon to apply the changes to the cluster

Question 2

MapReduce V2 (MRv2/YARN) splits which two major functions of the jobtracker into separate daemons?

A. Job coordination between the resource manager and the node manager
B. MapReduce metric reporting
C. Managing file system metadata
D. Job scheduling/monitoring
E. Managing tasks
F. Launching tasks
G. Resource management
H. Health status check (heartbeats)

Question 3

You have a cluster running with the fair scheduler enabled and configured. You submit multiple jobs to the cluster. Each job is assigned to a pool. What are the two key points to remember about how jobs are scheduled with the fair scheduler?

A. Each pool gets 1/M of the total available tasks slots, where M is the no. of nodes in the cluster
B. Each pools share of the tasks slots remains static within the execution of any individual job
C. Each pool gets 1/N of the total available tasks slots, where N is the no of jobs running on the cluster
D. Each pools share of task slots may change throughout the course of job execution
E. Pools get a dynamically-allocated share of the available task slots (subject to additional constraints)
F. Pools are assigned priorites.pools with higher priorities an executed b4 pools with lower priorities

Question 4

Your company stores user profile records in an OLTP database. You want to join these records with webserver logs. You have already ingested into the hadoop file system. What is the best way to obtain and ingest these user records?

A. Ingest using hives LOAD DATA command
B. Ingest using the HDFS put command
C. Ingest with flume agents
D. Ingest with hadoop streaming
E. Ingest with Pig's Load Command
F. Ingest with SQL import

Question 5

What is the rule governing the formatting of the underlying filesystem in the hadoop cluster?

A. They must all use the same file system but this does not need to be the same filesystem as the filesystem used by the namenode
B. They can use different file system
C. They must all be left as unformatted, rawdisk;hadoop uses raw unformatted disk for HDFS
D. they must all be left as formatted raw disk, hadoop format them automatically
E. They must all use the same filesystem as the namenode

Solutions: