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Cloudera CCA-410 Exam Syllabus Topics:

Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

1. Which daemons instantiates JVM's to perform mapreduce processing in a cluster running mapreduce v1 (MRv1)?

A) Tasktracker
B) Applicationmaster
C) Datanode
D) Jobtracker
E) Resourcemanager
F) applicationmanager
G) Nodemanager
H) Namenode

2. What action occurs automatically on a cluster when a DataNode is marked as dead?

A) The next time a client submits job that requires blocks from the dead DataNode, the JobTracker receives no heart beats from the DataNode. The JobTracker tells the NameNode that the DataNode is dead, which triggers block re-replication on the cluster.
B) The NameNode forces re-replication of all the blocks which were stored on the dead DataNode.
C) The replication factor of the files which had blocks stored on the dead DataNode is temporarily reduced, until the dead DataNode is recovered and returned to the cluster.
D) The NameNode informs the client which write the blocks that are no longer available; the client then re-writes the blocks to a different DataNode.

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

4. Your Hadoop cluster contains nodes in three racks. Choose which scenario results if you leave the dfs.hosts property in the NameNode's configuration file empty (blank)?

A) Any machine running the DataNode daemon can immediately join the cluster.
B) The NameNode will update dfs.hosts property to include machines running the DataNode daemon on the next NameNode reboot or with a dfsadmin -refreshNodes.
C) Presented with a blank dfs.hosts property, the NameNode will permit DataNodes specified in mapred.hosts to join the cluster.
D) No new can be added to the cluster until you specify them in the dfs.hosts file.

5. Identify which two daemons typically run each slave node in a Hadoop cluster running MapReduce v1 (MRv1)

A) JobTracker
B) NodeManager
C) TaskTracker
D) NameNode
E) DataNode
F) Secondary NameNode

Solutions: