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Cloudera Certified Developer for Apache Hadoop Sample Questions:

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

A) A single reducer gathers and processes all the output from all the mappers. The output is written to a single file in HDFS.
B) Setting the number of reducers to one is invalid, and an exception is thrown.
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.

2. Which of the following statements best describes how a large (100 GB) file is stored in HDFS?

A) The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default. Multiple blocks from the same file might reside on the same datanode.
B) The file is divided into variable size blocks, which are stored on multiple data nodes. Each block is replicated three times by default.
C) The file is replicated three times by default. Eachcopy of the file is stored on a separate datanodes.
D) The master copy of the file is stored on a single datanode. The replica copies are divided into fixed-size blocks, which are stored on multiple datanodes.
E) The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default.HDFS guarantees that different blocks from the same file are never on the same datanode.

3. MapReduce is well-suited for all of the following applications EXCEPT? (Choose one):

A) Online transaction processing (OLTP) for an e-commerce Website.
B) Text mining on a large collections of unstructured documents.
C) Analysis of large amounts of Web logs (queries, clicks, etc.).
D) Graph mining on a large social network (e.g., Facebook friends network).

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

5. What is a Writable?

A) Writable is an interface that all keys, but not values, in MapReduce must implement. Classes implementing this interface must implement methods for serializing and deserializing themselves.
B) Writable is an abstract class that all keys, but not values, in MapReduce must extend. Classes extending this abstract base class must implement methods for serializing and deserializing themselves.
C) Writable is an interface that all keys and values in MapReduce must implement. Classes implementing this interface must implement methods for serializing and deserializing themselves.
D) Writable is an abstract class that all keys and values in MapReduce must extend. Classes extending this abstract base class must implement methods for serializing and deserializing themselves

Solutions: