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Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

1. You have cluster running with the FIFO Scheduler enabled. You submit a large job A to the cluster, which you expect to run for one hour. Then, you submit job B to cluster, which you expect to run a couple of minutes only.
You submit both jobs with the same priority.
Which two best describes how the FIFO Scheduler arbitrates the cluster resources for a job and its tasks?

A) Given Jobs A and B submitted in that order, all tasks from job A are guaranteed to finish before all tasks from job B.
B) Tasks are scheduled in the order of their jobs' submission.
C) The FIFO Schedule will pass an exception back to the client when Job B is submitted, since all slots on the cluster are in use.
D) The order of execution of tasks within a job may vary.
E) The FIFO Scheduler will give, on average, equal share of the cluster resources over the job lifecycle.
F) Because there is more then a single job on the cluster, the FIFO Scheduler will enforce a limit on the percentage of resources allocated to a particular job at any given time.

2. How many mappers required for a map reduce, job determine on a cluster running map reduce V1 (MRv1)?

A) the developer specifies the number in the job configuration
B) The number of mappers is calculated by namenode based on the number of HDFS blocks in the files
C) The number mappers is equal to no of input splits calculated by client submitting
D) the jobtracker chooses the number based on no of available nodes

3. You configure your hadoop development cluster with both mapreduce frameworks, mapreduceV1 (MRv1) and mapreduce v2 (MRv2/YARN). You plan to run only one set of mapreduce daemons at a time in this development environment (running both simultaneously results in an unsuitable cluster but configure in both moving between them is fine). Which two mapreduce (capitation) daemons do you need to configure to run on your masternodes?

A) Jobtracker
B) Resourcemanager
C) Journalnode
D) Nodemanager
E) Applicationmaster
F) Containermanager

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

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

5. On a cluster running MapReduce v1 (MRv1), the value of the mapred.tasktracker.map.tasks.maximum configuration parameter in the mapred-site.xml file should be set to:

A) Half the number of the maximum number of Reduce tasks which can run on the cluster as a whole.
B) The maximum number of Map tasks which can run on the cluster as a whole.
C) The maximum number of Map tasks can run simultaneously on an individual node.
D) Half the number of the maximum number of Reduce tasks which can run simultaneously on an individual node.
E) The same value on each slave node.

Solutions: