Cloudera CCD-333 actual dump : Cloudera Certified Developer for Apache Hadoop

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Cloudera CCD-333 Exam Syllabus Topics:

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. You have a large dataset of key-value pairs, where the keys are strings, and the values are integers. For each unique key, you want to identify the largest integer. In writing a MapReduce program to accomplish this, can you take advantage of a combiner?

A) Yes, as long as all the keys fit into memory on each node.
B) No, a combiner would not be useful in this case.
C) Yes.
D) Yes, but the number of unique keys must be known in advance.
E) Yes, as long as all the integer values that share the same key fit into memory on each node.

3. Which MapReduce daemon runs on each slave node and participates in job execution?

A) TaskTracker
B) JobTracker
C) Secondary NameNode
D) NameNode

4. 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 in as many separate files as there are mappers.
B) Setting the number of reducers to one is invalid, and an exception is thrown.
C) A single reducer gathers and processes all the output from all the mappers. The output is written to a single file in HDFS.
D) 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.

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

Solutions: