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

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

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

2. 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 requires more memory and no disk drives.
D) The NameNode requires more memory but less disk capacity.
E) The NameNode and DataNodes should the same hardware configuration.

3. Your cluster implements HDFS High Availability (HA). You two NameNodes are named nn01 and nn02. What occurs when you execute the command:
Hdfs haadmin -failover nn01 nn02

A) Nn01 is fenced, and nn02 becomes the active NameNode
B) Nn01 is fenced, and nn01 becomes the active NameNode
C) nn02 becomes the standby NameNode and nn02 becomes the active NameNode
D) Nn01 becomes the standby NameNode and nn02 becomes the active NameNode

4. The most important consideration for slave nodes in a Hadoop cluster running production jobs that require short turnaround times is:

A) The ratio between the number of processor cores and total storage capacity.
B) The ratio between the amount of memory and the total storage capacity.
C) The ratio between the amount of memory and the number of disk drives.
D) The ratio between the number of processor cores and number of disk drives.
E) The ratio between the number of processor cores and the amount of memory.

5. 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 restart all six DataNode daemons to apply the changes to the cluster.
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 the NameNode daemon to apply the changes to the cluster
F) You must modify the configuration files on the NameNode only. DataNodes read their configuration from the master nodes.

Solutions: