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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. You write a MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses TextInputFormat and the IdentityReducer: the mapper applies a regular expression over input values and emits key-value pairs with the key consisting of the matching text, and the value containing the filename and byte offset. Determine the difference between setting the number of reducers to zero.

A) With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With one reducer, instances of matching patterns stored in multiple files on HDFS.
B) With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one reducer, all instances of matching patterns are gathered together in one file on HDFS.
C) There is no difference in output between the two settings.
D) With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of matching patterns are stored in a single file on HDFS.

2. Which of the following best describes the map method input and output?

A) It accepts a single key-value pair as input and can emit only one key-value pair as output.
B) It accepts a single key-value pair as input and can emit any number of key-value pairs as output, including zero.
C) It accepts a single key-value pair as input and emits a single key and list of corresponding values as output
D) It accepts a list of key-value pairs as input hut run emit only one key value pair as output.

3. For each intermediate key, each reducer task can emit:

A) One final key value pair per key; no restrictions on the type.
B) As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.
C) One final key-value pair per value associated with the key; no restrictions on the type.
D) As many final key value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous)
E) As many final key-value pairs as desired, as long as all the keys have the same type and all the values have the same type.

4. You've written a MapReduce job that will process 500 million input records and generate 500 million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant amount of intermediate data that it needs to transfer between mappers and reducers which is a potential bottleneck. A custom implementation of which of the following interfaces is most likely to reduce the amount of intermediate data transferred across the network?

A) Partitioner
B) Combiner
C) OutputFormat
D) InputFormat
E) WritableComparable
F) Writable

5. What is a SequenceFile?

A) 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.
B) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
C) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.
D) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.

Solutions: