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Cloudera CCA-410 Exam Syllabus Topics:

Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

1. What happens when a map task crashes while running a mapreduce job?

A) the jobtracket attempts to re-run the task on a different node
B) The tasktracker closes the JVM instance and restarts
C) The job immediately fails
D) The jobtracker attempts to re-run the task on the same node

2. Your developers request that you enable them to use pig on your hadoop cluster. What do you need to configure and / or install?

A) Install the pig interpreter on the client machines only.
B) Install the pig jar's on the all slave nodes in the cluster the pig interpreter on the client machines
C) Install the pig interpreter on all nodes in the cluster, and the client machines
D) Install the pig interpreter on the master node which is running the jobtracker

3. 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.

4. Once a client application validates its identity and is granted access to file in a cluster. What is the reminder of read path back to the client?

A) The namenode gives the client the block ID's and a list of Datanodes on which those blocks are found. And the application reads the block directly from the datanodes
B) the namenode maps the read request against the block locations in its stored metadata and reads those blocks from the datanodes. The client applications then read the block from the namenode
C) The namenode maps the read request against the block locations in it's stored metadata the block id's are stored by their distance to the client and moved to the datanode closest to the client according to hadoop rac topology. The client application then reads the blocks from the single datanode

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

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

Solutions: