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Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

1. Which two updates occur when a client application opens a stream to begin a file write on a cluster running MapReduce v1 (MRv1)?

A) The metadata in the RAM on the NameNode is flushed to disk.
B) The change is written to the edits file.
C) The metadata in RAM on the NameNode is updated.
D) The change is written to the NameNode disk.
E) Once the write stream closes on the DataNode, the DataNode immediately initiates a black report to the NameNode.
F) The metadata in RAM on the NameNode is flushed disk.

2. You configure you cluster with HDFS High Availability (HA) using Quorum-Based storage. You do
not implement HDFS Federation.
What is the maximum number of NameNodes daemon you should run on you cluster in order to avoid a "split-brain" scenario with your NameNodes?

A) One active NameNode and one Standby NameNode
B) Unlimited. HDFS High Availability (HA) is designed to overcome limitations on the number of NameNodes you can deploy.
C) Two active NameNodes and two Standby NameNodes
D) Two active NameNodes and one Standby NameNode

3. Which two occur when individual blocks are returned to DATANODE on a cluster local filesystem?

A) A metadata file is written to the datanode containing the checksums for each block
B) The datanode updates it's log of checkum verification
C) The datanode runs a block scanner datablock scanner to verify the return blocks.
D) The datanode writes a metadata file with the name of the file the block is associated with
E) A metadata file is return to the datanode containing all the other node locations in the namespace

4. Which scheduler would you deploy to ensure that your cluster allows short jobs to finish within a reasonable time without starving long-running jobs?

A) Completely Fair Scheduler (CFS)
B) FIFO Scheduler
C) Capacity Scheduler
D) Fair Scheduler

5. You configure your hadoop development cluster with both mapreduce frameworks, mapreduceV1 (MRv1) and mapreduce v2 (MRv2/YARN). You plan to run only one set of mapreduce daemons at a time in this development environment (running both simultaneously results in an unsuitable cluster but configure in both moving between them is fine). Which two mapreduce (capitation) daemons do you need to configure to run on your masternodes?

A) Resourcemanager
B) Nodemanager
C) Jobtracker
D) Containermanager
E) Applicationmaster
F) Journalnode

Solutions: