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Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

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

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

3. Identify four characteristics of a 300MB file that has been written to HDFS with block size of 128MB and all other Hadoop defaults unchanged?

A) All three blocks will be 128MB
B) Two of the initial blocks will be 128MB
C) Each block will be replicated three times
D) The file will be split into three blocks when initially written into the cluster
E) The third Initial block will be 44 MB
F) Each block will be replicated nine times
G) The third block will be 64MB
H) The file will consume 1152MB of space in the cluster

4. Which daemons instantiates JVM's to perform mapreduce processing in a cluster running mapreduce v1 (MRv1)?

A) Datanode
B) Nodemanager
C) Applicationmaster
D) applicationmanager
E) Tasktracker
F) Namenode
G) Jobtracker
H) Resourcemanager

5. In the context of configuring a Hadoop cluster for HDFS High Availability (HA), 'fencing' refers to:

A) Isolating a failed NameNode from write access to the fsimage and edits files so that is cannot resume write operations if it recovers.
B) Isolating both HA NameNodes to prevent a client application from killing the NameNode daemons.
C) Isolating the standby NameNode from write access to the fsimage and edits files.
D) Isolating the cluster's master daemon to limit write access only to authorized clients.

Solutions: