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Cloudera Certified Administrator for Apache Hadoop CDH4 Upgrade Exam (CCAH) Sample Questions:

1. What metadata is stored on a DataNode when a block is written to it?

A) Checksums for the data in the block, as a separate file.
B) None. Only the block itself is written.
C) Node location of each block belonging to the same namespace.
D) Information on the file's location in HDFS.

2. You has a cluster running with the Fail Scheduler enabled. There are currently no jobs running on the cluster you submit a job A, so that only job A is running on the cluster. A while later, you submit job B.
Now job A and Job B are running on the cluster al the same time. How will the Fair' Scheduler handle these two Jobs?

A) When job B gets submitted, it will get assigned tasks, while job A continues to run with fewer tasks.
B) When job A gets submitted, it doesn't consume all the task slot
C) When job B gets submitted, Job A has to finish first, before job it can get scheduled.
D) When job A gets submitted, it consumes all the task slot

3. Which daemon spawns child JVMs to perform MapReduce processing?

A) DataNode
B) JobTracker
C) Secondary NameNode
D) NameNode
E) TaskTracker

4. Under which scenario would it be most appropriate to consider using faster (e.g 10 Gigabit) Ethernet as the network fabric for your Hadoop cluster?

A) When the typical workloads consists of processor-intensive tasks.
B) When the typical workloads consumes a large amount of input data, relative to the entire capacity of HDFS.
C) When the typical workloads generates a large amount of output data, significantly larger than the amount of intermediate data.
D) When the typical workloads generates a large amount of intermediate data, on the order of the input data itself.

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

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

Solutions: