Advanced MapReduce Concepts MCQ question and answer with solution

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Each section contains 100 MCQs on Advanced MapReduce Concepts .

What is the primary purpose of the Hadoop MapReduce "In-Mapper Combining" technique?

A) Combine intermediate key-value pairs on the mapper side B) Aggregate values on the reducer side C) Sort and shuffle data D) Distribute data to reducers

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

In advanced MapReduce, what is the significance of the Hadoop MapReduce "Map-side Join"?

A) Join data on the mapper side B) Join data on the reducer side C) Sort keys on the mapper side D) Sort keys on the reducer side

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

What is the purpose of the Hadoop MapReduce "DistributedCache" in advanced MapReduce?

A) Store intermediate data B) Cache files for tasks C) Manage computation resources D) Execute MapReduce jobs

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

In advanced MapReduce, what is the role of the Hadoop MapReduce "Map Output Compression"?

A) Compress the map output data B) Compress the reduce output data C) Decompress the map output data D) Decompress the reduce output data

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

What does the term "MapReduce locality optimization" refer to in advanced MapReduce?

A) Optimize data locality for tasks B) Optimize task scheduling C) Optimize data storage in HDFS D) Optimize task execution in MapReduce jobs

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Map Output Sorting"?

A) Sort keys on the mapper side B) Sort keys on the reducer side C) Sort keys within a reducer D) Sort keys across multiple reducers

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

What is the primary function of the Hadoop MapReduce "Map-side Aggregation" technique?

A) Aggregate values on the mapper side B) Combine intermediate key-value pairs on the mapper side C) Sort and shuffle data D) Distribute data to reducers

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

In advanced MapReduce, what is the significance of the Hadoop MapReduce "Map-side Join"?

A) Join data on the mapper side B) Join data on the reducer side C) Sort keys on the mapper side D) Sort keys on the reducer side

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

What is the purpose of the Hadoop MapReduce "Combiner Optimization" in advanced MapReduce?

A) Combine intermediate key-value pairs on the mapper side B) Aggregate values on the reducer side C) Sort and shuffle data D) Distribute data to reducers

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

In advanced MapReduce, what is the role of the Hadoop MapReduce "Map-side Filtering" technique?

A) Filter data on the mapper side B) Filter data on the reducer side C) Sort keys on the mapper side D) Sort keys on the reducer side

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

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Advanced MapReduce Concepts MCQ question and answer with solution | Hadoop MCQs