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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. The NameNode uses RAM for the following purpose:

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

2. What happens in a MapReduce job when you set the number of reducers to one?

A) Setting the number of reducers to one is invalid, and an exception is thrown.
B) A single reducer gathers and processes all the output from all the mappers. The output is written to a single file in HDFS.
C) Setting the number of reducers to one creates a processing bottleneck, and since the number of reducers as specified by the programmer is used as a reference value only, the MapReduce runtime provides a default setting for the number of reducers.
D) A single reducer gathers and processes all the output from all the mappers. The output is written in as many separate files as there are mappers.

3. What happens in a MapReduce job when you set the number of reducers to zero?

A) Setting the number of reducers to zero is invalid, and an exception is thrown.
B) No reducer executes, but the outputs of all the mappers are gathered together and written to a single file in HDFS.
C) No reducer executes, and the output of each mapper is written to a separate file in HDFS.
D) No reducer executes, but the mappers generate no output.

4. During the standard sort and shuffle phase of MapReduce, keys and values are passed to reducers. Which of the following is true?

A) Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.
B) Keys are presented to a reducer in soiled order; values for a given key are sorted in ascending order.
C) Keys are presented to a reducer in random order; values for a given key are not sorted.
D) Keys are presented to a reducer in sorted order; values for a given key are not sorted.

5. Does the MapReduce programming model provide a way for reducers to communicate with each other?

A) Yes, reducers can communicate with each other by dispatching intermediate key value pairs that get shuffled to another reduce
B) Yes, all reducers can communicate with each other by passing information through the jobconf object.
C) Yes, reducers running on the same machine can communicate with each other through shared memory, but not reducers on different machines.
D) No, each reducer runs independently and in isolation.

Solutions: