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Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

1. When planning a hadoop cluster, what general rule governs the hardware requirements between master nodes and slave nodes?

A) The master and slave nodes should have the same hardware configuration
B) The master nodes requires more memory but less disk capacity
C) the master nodes requires less memory and fewer number disk drives than the slave nodes
D) The master nodes require more memory and greater disk capacity then the slave nodes
E) The master nodes requires more memory and no disk drives

2. You set mapred.tasktracker.reduce.tasks.maximum to a value of 4 on a cluster running mapreduce v1 (MRv1). How many reducers will run for any given job?

A) a maximum of 4 reducer's, but the actual number of reducer's that run for any given job is based on the volume intermediate data.
B) Four reducer's will run. Once set by the cluster administrator, this parameter can't be overridden
C) Maximum of 4 reducers, but the actual number of reducers that run for any given job is based on the volume of input data
D) The number of reducer's for any given job is set by the developer

3. What two processes must you do if you are running a Hadoop cluster with a single NameNode and six DataNodes, and you want to change a configuration parameter so that it affects all six DataNodes.

A) You must restart the NameNode daemon to apply the changes to the cluster
B) You don't need to restart any daemon, as they will pick up changes automatically.
C) You must modify the configuration files on only one of the DataNode machine
D) You must modify the configuration files on the NameNode only. DataNodes read their configuration from the master nodes.
E) You must modify the configuration files on each of the six DataNode machines.
F) You must restart all six DataNode daemons to apply the changes to the cluster.

4. What is the rule governing the formatting of the underlying filesystem in the hadoop cluster?

A) They must all use the same file system but this does not need to be the same filesystem as the filesystem used by the namenode
B) They can use different file system
C) they must all be left as formatted raw disk, hadoop format them automatically
D) They must all use the same filesystem as the namenode
E) They must all be left as unformatted, rawdisk;hadoop uses raw unformatted disk for HDFS

5. You have a cluster running 32 slave nodes and 3 master nodes running mapreduce V1 (MRv1). You execute the command:
$ hadoop fsck /
What four cluster conditions running this command will return to you?

A) the current state of the file system according to the namenode
B) Under-replicated blocks
C) the location for every block
D) Number of datanodes
E) Number of dead datanodes
F) Blocks replicated improperly or that don't satisfy your cluster enhancement policy (e. g. , too many blocks replicated on the same node)
G) The current state of the file system returned from scanning individual blocks on each datanode
H) Configure capacity of your cluster

Solutions: