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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. 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.HDFS guarantees that different blocks from the same file are never 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 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.
D) The file is replicated three times by default. Eachcopy of the file is stored on a separate datanodes.
E) 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.

2. Which of the following utilities allows you to create and run MapReduce jobs with any executable or script as the mapper and/or the reducer?

A) Oozie
B) Hadoop Streaming
C) Flume
D) Sqoop

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

A) HDFS has the Characteristic of supporting a "write once, read many" data access model.
B) 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.
C) HDFS is a distributed file system that replaces ext3 or ext4 on Linux nodes in a Hadoop cluster.
D) HDFS is optimized for storing a large number of files smaller than the HDFS block size.

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. All keys used for intermediate output from mappers must do which of the following:

A) Override isSplitable
B) Be compressed using a splittable compression algorithm.
C) Be a subclass of Filelnput-Format
D) Implement WritableComparable
E) Use a comparator for speedy sorting

Solutions: