Cloudera CCA-470 : Cloudera Certified Administrator for Apache Hadoop CDH4 Upgrade Exam (CCAH)

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Cloudera CCA-470 Exam Syllabus Topics:

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

1. You are running a Hadoop cluster with all monitoring facilities properly configured. Which scenario will go undetected?

A) HDFS is almost full.
B) A DataNode is disconnected from the cluster.
C) MapReduce jobs that are causing excessive memory swaps.
D) The NameNode goes down.
E) Map or reduce tasks that are stuck in an infinite loop.

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

A) 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.
B) 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.
C) 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.
D) The NameNode forces re-replication of all the blocks which were stored on the dead DataNode.

3. Identify four characteristics of a 300MB file that has been written to HDFS with block size of 128MB and all other Hadoop defaults unchanged?

A) The file will consume 1152MB of space in the cluster
B) Each block will be replicated nine times
C) All three blocks will be 128MB
D) The third Initial block will be 44 MB
E) The file will be split into three blocks when initially written into the cluster
F) Each block will be replicated three times
G) Two of the initial blocks will be 128MB
H) The third block will be 64MB

4. What is the recommended disk configuration for slave nodes in your Hadoop cluster with 6 x 2 TB hard drives?

A) JBOD
B) RAID 10
C) RAID 5
D) RAID 1+0

5. Which of the following statements arc accurate in describing features of Hadoop rack awareness? (Choose 2)

A) Hadoop gives preference to intra-rack data transfer In order to conserve bandwidth.
B) Even for small clusters on a single rack, configuring rack awareness will improve performance.
C) Rack location is considered in the HDFS block placement policy.
D) Configuration of rack awareness is accomplished using a configuration file. You cannot use a rack topology script.
E) HDFS is rack aware but MapReduce daemons are not.

Solutions: