Cloudera CCD-333 : 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. What happens in a MapReduce job when you set the number of reducers to one?

A) 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.
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) 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 statement best describes the data path of intermediate key-value pairs (i.e., output of the mappers)?

A) Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and are then copied to HDFS. Reducers read the intermediate data from HDFS.
B) Intermediate key-value pairs are written to HDFS. Reducers read the intermediate data from HDFS.
C) Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and then copied to the machine running the reduce tasks.
D) Intermediate key-value pairs are written to HDFS. Reducers copy the intermediate data to the local disks of the machines running the reduce tasks.

3. You need to create a GUI application to help your company's sales people add and edit customer information. Would HDFS be appropriate for this customer information file?

A) Yes, because HDFS is optimized for random access writes.
B) No, because HDFS can only be accessed by MapReduce applications.
C) Yes, because HDFS is optimized for fast retrieval of relatively small amounts of data.
D) No, because HDFS is optimized for write-once, streaming access for relatively large files.

4. You have the following key value pairs as output from your Map task:
(The, 1)
(Fox, 1)
(Runs, 1)
(Faster, 1)
(Than, 1)
(The, 1)
(Dog, 1)
How many keys will be passed to the reducer?

A) Four
B) Two
C) Five
D) Three
E) One
F) Six

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

Solutions: