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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. When is the reduce method first called in a MapReduce job?

A) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
B) Reducers start copying intermediate key value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.
C) Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.
D) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.

2. What is a SequenceFile?

A) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
B) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.
C) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
D) A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be same type.

3. Given a Mapper, Reducer, and Driver class packaged into a jar, which is the correct way of submitting the job to the cluster?

A) hadoop jar MyJar.jar MyDriverClass inputdir outputdir
B) jar MyJar.jar
C) jar MyJar.jar MyDriverClass inputdir outputdir
D) hadoop jar class MyJar.jar MyDriverClass inputdir outputdir

4. Your cluster has 10 DataNodes, each with a single 1 TB hard drive. You utilize all your disk capacity for HDFS, reserving none for MapReduce. You implement default replication settings. What is the storage capacity of your Hadoop cluster (assuming no compression)?

A) about 11 TB
B) about 5 TB
C) about 3 TB
D) about 10 TB

5. The NameNode uses RAM for the following purpose:

A) To store filenames, list of blocks and other meta information.
B) To store the contents of files in HDFS.
C) To manage distributed read and write locks on files in HDFS.
D) To store the edits log that keeps track of changes in HDFS.

Solutions: