CCA-505Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade Exam
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You are upgrading a Hadoop cluster from HDFS and MapReduce version 1 (MRv1) to one running HDFS and MapReduce version 2 (MRv2) on YARN. You want to set and enforce a block of 128MB for all new files written to the cluster after the upgrade. What should you do?
A. Set dfs.block.size to 128M on all the worker nodes, on all client machines, and on the NameNode, and set the parameter to final.
B. Set dfs.block.size to 134217728 on all the worker nodes, on all client machines, and on the NameNode, and set the parameter to final.
C. Set dfs.block.size to 134217728 on all the worker nodes and client machines, and set the parameter to final. You do need to set this value on the NameNode.
D. Set dfs.block.size to 128M on all the worker nodes and client machines, and set the parameter to final. You do need to set this value on the NameNode.
E. You cannot enforce this, since client code can always override this value.
Your cluster's mapped-site.xml includes the following parameters
And your cluster's yarn-site.xml includes the following parameters
What is the maximum amount of virtual memory allocated for each map before YARN will kill its Container?
A. 4 GB
B. 17.2 GB
C. 24.6 GB
D. 8.2 GB
A user comes to you, complaining that when she attempts to submit a Hadoop job, it fails. There is a directory in HDFS named /data/input. The Jar is named j.jar, and the driver class is named DriverClass. She runs command:
hadoop jar j.jar DriverClass /data/input/data/output
The error message returned includes the line:
PrivilegedActionException as:training (auth:SIMPLE) cause.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exits: file :/data/input
What is the cause of the error?
A. The Hadoop configuration files on the client do not point to the cluster
B. The directory name is misspelled in HDFS
C. The name of the driver has been spelled incorrectly on the command line
D. The output directory already exists
E. The user is not authorized to run the job on the cluster
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