Free CCD-410 Questions for Cloudera Certified Developer for Apache Hadoop (CCDH) CCD-410 Exam as PDF & Practice Test Engine

Exam Code/Number: CCD-410
Exam Name/Title: Cloudera Certified Developer for Apache Hadoop (CCDH)
Certification Provider: Cloudera
Corresponding Certification: CCDH

Exam Questions: 60
Updated On: Jun 17, 2026

Question #1

You have the following key-value pairs as output from your Map task:
(the, 1)
(fox, 1)
(faster, 1)
(than, 1)
(the, 1)
(dog, 1)
How many keys will be passed to the Reducer's reduce method?

A. Three

B. Two

C. Four

D. One

E. Six

F. Five

Discussion 0

Correct Answer: F Vote an answer

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Question #2

You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you've decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

A. hadoop setproperty ("mapred.job.name=Example") MyDriver input output

B. hadoop "mapred.job.name=Example" MyDriver input output

C. hadoop setproperty mapred.job.name=Example MyDriver input output

D. hadoop MyDriver mapred.job.name=Example input output

E. hadoop MyDrive -D mapred.job.name=Example input output

Discussion 0

Correct Answer: E Vote an answer

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Question #3

You have just executed a MapReduce job. Where is intermediate data written to after being emitted from the Mapper's map method?

A. Intermediate data in streamed across the network from Mapper to the Reduce and is never written to disk.

B. Into in-memory buffers that spill over to the local file system of the TaskTracker node running the Mapper.

C. Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node running the Reducer

D. Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into HDFS.

E. Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into HDFS.

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Correct Answer: B Vote an answer

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Question #4

You need to create a job that does frequency analysis on input data. You will do this by writing a Mapper that uses TextInputFormat and splits each value (a line of text from an input file) into individual characters. For each one of these characters, you will emit the character as a key and an InputWritable as the value. As this will produce proportionally more intermediate data than input data, which two resources should you expect to be bottlenecks?

A. Disk I/O and network I/O

B. Processor and network I/O

C. Processor and RAM

D. Processor and disk I/O

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Correct Answer: A Vote an answer

Question #5

In a MapReduce job with 500 map tasks, how many map task attempts will there be?

A. Exactly 500.

B. Between 500 and 1000.

C. At most 500.

D. It depends on the number of reduces in the job.

E. At least 500.

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Question #6

Workflows expressed in Oozie can contain:

A. Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.

B. Iterntive repetition of MapReduce jobs until a desired answer or state is reached.

C. Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.

D. Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.

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Correct Answer: C Vote an answer

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Free CCD-410 Questions for Cloudera Certified Developer for Apache Hadoop (CCDH) CCD-410 Exam as PDF & Practice Test Engine

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