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Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

1. 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

2. How do you access the long messages a mapreduce application generates after you run it on your cluster?

A) You browse the /logs directly in HDFS where all jobs log files as store
B) You browse the currect working directory of the client machine from which You submitted the job
C) You remotely log in to any slave node in the cluster to browse your jobs log files in/var/log/hadoop/archive directly
D) You connect to the job tracker web UI and locate the details for your job this will include long messages

3. MapReduce V2 (MRv2/YARN) splits which two major functions of the jobtracker into separate daemons?

A) Resource management
B) MapReduce metric reporting
C) Health status check (heartbeats)
D) Job coordination between the resource manager and the node manager
E) Launching tasks
F) Managing tasks
G) Managing file system metadata
H) Job scheduling/monitoring

4. When requesting a file, how does HDFS retrieves the blocks associated with that file?

A) the namenode requires the datanode for the block ID's
B) The namenode reads the block ID's from memory
C) the client polls the datanodes for the block ID's
D) the namenode reads the block ID's from disk

5. 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) 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.
B) The FIFO Scheduler will give, on average, equal share of the cluster resources over the job lifecycle.
C) The order of execution of tasks within a job may vary.
D) Tasks are scheduled in the order of their jobs' submission.
E) 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.
F) Given Jobs A and B submitted in that order, all tasks from job A are guaranteed to finish before all tasks from job B.

Solutions: