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Cloudera Certified Administrator for Apache Hadoop CDH4 Upgrade Exam (CCAH) Sample Questions:

1. On a cluster running MapReduce v1 (MRv1), a MapReduce job is given a directory of 10 plain text as its input directory. Each file is made up of 3 HDFS blocks. How many Mappers will run?

A) 1
B) 10
C) We cannot say; the number of Mappers is determined by the developer
D) 30

2. Cluster Summary
45 files and directories, 12 blocks = 57 total. Heap Size is 15.31 MB / 193.38MB(7%)

Refer to the above screenshot.
You configure the Hadoop cluster with seven DataNodes and the NameNode's web UI displays the details shown in the exhibit.
What does this tells you?

A) The HDFS cluster is in the safe mode.
B) Your cluster has lost all HDFS data which had blocks stored on the dead DataNode.
C) The DataNode JVM on one host is not active.
D) One physical host crashed.

3. You have a cluster running with the Fair Scheduler enabled and configured. You submit multiple jobs to cluster. Each job is assigned to a pool. How are jobs scheduled? (Choose 2)

A) Pools are assigned priorities. Pools with higher priorities are executed before pools with lower priorities.
B) Each pool's share of task slots may change throughout the course of job execution.
C) Each pool gets 1/N of the total available task slots, where N is the number of jobs running on the cluster.
D) Pools get a dynamically-allocated share of the available task slots (subject to additional constraints).
E) Each pool's share of task slots remains static within the execution of any individual job.
F) Each pool gets 1/M of the total available task slots, where M is the number of nodes in the cluster

4. Where does a MapReduce job store the intermediate data output from Mappers?

A) On the underlying filesystem of the local disk machine on which the JobTracker ran.
B) In HDFS, in temporary directory defined mapred.tmp.dir.
C) On the underlying filesystem of the local disk of the machine on which the Mapper ran.
D) Stores on the underlying filesystem of the local disk of the machine on which the Reducer.
E) In HDFS, in the job's output directory.

5. Compare the hardware requirements of the NameNode with that of the DataNodes in a Hadoop cluster running MapReduce v1 (MRv1):

A) The NameNode requires more memory and requires greater disk capacity than the DataNodes.
B) The NameNode requires less memory and less disk capacity than the DataNodes.
C) The NameNode and DataNodes should the same hardware configuration.
D) The NameNode requires more memory and no disk drives.
E) The NameNode requires more memory but less disk capacity.

Solutions: