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Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

1. What is the smallest number of slave nodes you would need to configure in your hadoop cluster to
store 100TB of data, using Hadoop default replication values, on nodes with 10TB of RAW disk space per node?

A) 40
B) 10
C) 100
D) 25
E) 75

2. Your running a hadoop cluster with a name node on the host mynamenode.
What are two ways you can determine available HDFS space in your cluster?

A) Run hadoop fs -du / and locate the dfs remaining value
B) Run hadoop dfsadmin - report and locate the DFS remaming value
C) Run hadoop DFSAdmin -spaceQuota and subtract DFS used % from configured capacity
D) Connect to http://mynamenode:50070/and locate the dfs remaining value

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

4. What determines the number of Reduces that run a given MapReduce job on a cluster running MapReduce v1 (MRv1)?

A) It is set by the developer.
B) It is set by the JobTracker based on the amount of intermediate data.
C) It is set and fixed by the cluster administrator in mapred-site.xml. The number set always run for any submitted job.
D) It is set by the Hadoop framework and is based on the number of InputSplits of the job.

5. Identify two features/issues that MapReduce v2 (MRv2/YARN) is designed to address:

A) Standardize on a single MapReduce API.
B) HDFS latency.
C) Ability to run frameworks other than MapReduce, such as MPI.
D) Reduce complexity of the MapReduce APIs.
E) Resource pressure on the JobTrackr
F) Single point of failure in the NameNode.

Solutions: