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Welcome to the MapReduce Development and Features MCQs Page

Dive deep into the fascinating world of MapReduce Development and Features with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of MapReduce Development and Features, a crucial aspect of Hadoop. In this section, you will encounter a diverse range of MCQs that cover various aspects of MapReduce Development and Features, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Hadoop.

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Check out the MCQs below to embark on an enriching journey through MapReduce Development and Features. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Hadoop.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of MapReduce Development and Features. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

MapReduce Development and Features MCQs | Page 3 of 11

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Q21.
The ___________ executes the Mapper/ Reducer task as a child process in a separate jvm.

a.

JobTracker

b.

TaskTracker

c.

TaskScheduler

d.

None of the mentioned

Discuss
Answer: (a).JobTracker
Q22.
Maximum virtual memory of the launched child-task is specified using _________

a.

mapv

b.

mapred

c.

mapvim

d.

All of the mentioned

Discuss
Answer: (b).mapred
Q23.
Which of the following parameter is the threshold for the accounting and serialization buffers?

a.

io.sort.spill.percent

b.

io.sort.record.percent

c.

io.sort.mb

d.

None of the mentioned

Discuss
Answer: (a).io.sort.spill.percent
Q24.
______________ is percentage of memory relative to the maximum heap size in which map outputs may be retained during the reduce.

a.

mapred.job.shuffle.merge.percent

b.

mapred.job.reduce.input.buffer.percen

c.

mapred.inmem.merge.threshold

d.

io.sort.factor

Discuss
Answer: (b).mapred.job.reduce.input.buffer.percen
Q25.
____________ specifies the number of segments on disk to be merged at the same time.

a.

mapred.job.shuffle.merge.percent

b.

mapred.job.reduce.input.buffer.percen

c.

mapred.inmem.merge.threshold

d.

io.sort.factor

Discuss
Answer: (d).io.sort.factor
Q26.
Map output larger than ___________ percent of the memory allocated to copying map outputs.

a.

10

b.

15

c.

25

d.

35

Discuss
Answer: (c).25
Q27.
Jobs can enable task JVMs to be reused by specifying the job configuration _________

a.

mapred.job.recycle.jvm.num.tasks

b.

mapissue.job.reuse.jvm.num.tasks

c.

mapred.job.reuse.jvm.num.tasks

d.

all of the mentioned

Discuss
Answer: (b).mapissue.job.reuse.jvm.num.tasks
Q28.
During the execution of a streaming job, the names of the _______ parameters are transformed.

a.

vmap

b.

mapvim

c.

mapreduce

d.

mapred

Discuss
Answer: (d).mapred
Q29.
The standard output (stdout) and error (stderr) streams of the task are read by the TaskTracker and logged to _________

a.

${HADOOP_LOG_DIR}/user

b.

${HADOOP_LOG_DIR}/userlogs

c.

${HADOOP_LOG_DIR}/logs

d.

None of the mentioned

Discuss
Answer: (b).${HADOOP_LOG_DIR}/userlogs
Q30.
____________ is the primary interface by which user-job interacts with the JobTracker.

a.

JobConf

b.

JobClient

c.

JobServer

d.

All of the mentioned

Discuss
Answer: (b).JobClient
Page 3 of 11

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