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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. What is a SequenceFile?

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

2. Which two of the following are valid statements? (Choose two)

A) HDFS is optimized for storing a large number of files smaller than the HDFS block size.
B) HDFS has the Characteristic of supporting a "write once, read many" data access model.
C) HDFS is a distributed file system that runs on top of native OS filesystems and is well suited to storage of very large data sets.
D) HDFS is a distributed file system that replaces ext3 or ext4 on Linux nodes in a Hadoop cluster.

3. For each input key-value pair, mappers can emit:

A) As many intermediate key-value pairs as desired, but they cannot be of the same type as the input key-value pair.
B) One intermediate key value pair, but of the same type.
C) As many intermediate key-value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
D) One intermediate key value pair, of a different type.
E) As many intermediate key value pairs as desired, as long as all the keys have the same type and all the values have the same type.

4. Which of the following statements most accurately describes the relationship between MapReduce and Pig?

A) Pig provides additional capabilities that allow certain types of data manipulation not possible with MapReduce.
B) Pig provides no additional capabilities to MapReduce. Pig programs are executed as MapReduce jobs via the Pig interpreter.
C) Pig programs rely on MapReduce but are extensible, allowing developers to do special-purpose processing not provided by MapReduce.
D) Pig provides the additional capability of allowing you to control the flow of multiple MapReduce jobs.

5. Custom programmer-defined counters in MapReduce are:

A) Lightweight devices for synchronization within MapReduce programs. You can use counters to coordinate execution between a mapper and a reducer.
B) Lightweight devices for ensuring the correctness of a MapReduce program. Mappers Increment counters, and reducers decrement counters. If at the end of the program the counters read zero, then you are sure that the job completed correctly.
C) Lightweight devices for bookkeeping within MapReduce programs.

Solutions: