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Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

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

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

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

3. Identify two features/issues that MapReduce v2 (MRv2/YARN) is designed to address:

A) Resource pressure on the JobTrackr
B) Reduce complexity of the MapReduce APIs.
C) Ability to run frameworks other than MapReduce, such as MPI.
D) HDFS latency.
E) Single point of failure in the NameNode.
F) Standardize on a single MapReduce API.

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

A) They must all be left as unformatted, rawdisk;hadoop uses raw unformatted disk for HDFS
B) They can use different file system
C) 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
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

5. When requesting a file, how does HDFS retrieves the blocks associated with that file?

A) the namenode reads the block ID's from disk
B) the client polls the datanodes for the block ID's
C) the namenode requires the datanode for the block ID's
D) The namenode reads the block ID's from memory

Solutions: