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Cloudera CCA-470 Exam Syllabus Topics:

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

1. Assuming a large properly configured multi-rack Hadoop cluster, which scenario should not result in loss of HDFS data assuming the default replication factor settings?

A) Seventy percent of DataNodes simultaneously fail.
B) Ten percent of DataNodes simultaneously fail.
C) All DataNodes simultaneously fail.
D) Multiple racks simultaneously fail.
E) An entire rack fails.

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

3. Compare the hardware requirements of the NameNode with that of the DataNodes in a Hadoop cluster:

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

4. How must you format the underlying filesystem of your Hadoop cluster's slave nodes running on Linux?

A) They must be formatted as HDFS
B) They must not be formatted - - HDFS will format the filesystem automatically
C) They may be formatted in nay Linux filesystem
D) They must be formatted as either ext3 or ext4

5. Your cluster is running Map v1 (MRv1), with default replication set to 3, and a cluster blocks 64MB. Identify which best describes the file read process when a Client application connects into the cluster and requests a 50MB file?

A) The client queries the NameNode for the locations of the block, and reads from the first location in the list of receives.
B) The client queries the NameNode for the locations of the block, and reads all three copies. The first copy to complete transfer to the client is the one the client reads as part of Hadoop's execution framework.
C) The client queries the NameNode for the locations of the block, and reads from a random location in the list it receives to eliminate network I/O loads by balancing which nodes it retrieves data from at any given time.
D) The client queries the NameNode and then retrieves the block from the nearest DataNode to the client and then passes that block back to the client.

Solutions: