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Welcome to the Aggregation Concepts and Aggregation Mechanics MCQs Page

Dive deep into the fascinating world of Aggregation Concepts and Aggregation Mechanics with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Aggregation Concepts and Aggregation Mechanics, a crucial aspect of MongoDB. In this section, you will encounter a diverse range of MCQs that cover various aspects of Aggregation Concepts and Aggregation Mechanics, 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 MongoDB.

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Check out the MCQs below to embark on an enriching journey through Aggregation Concepts and Aggregation Mechanics. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of MongoDB.

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

Aggregation Concepts and Aggregation Mechanics MCQs | Page 3 of 12

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Q21.
Which of the following database command is used for mapreduce function?

a.

mapReduce

b.

mapperRed

c.

redmap

d.

none of the mentioned

Discuss
Answer: (a).mapReduce
Q22.
MongoDB applies the _____ phase to each input document in mapreduce.

a.

map

b.

reduce

c.

mapper

d.

all of the mentioned

Discuss
Answer: (a).map
Q23.
MongoDB applies the _________ phase, which collects and condenses the aggregated data.

a.

map

b.

reduce

c.

mapper

d.

all of the mentioned

Discuss
Answer: (b).reduce
Q24.
The output of the reduce function may pass through a ______ function to further condense or process the results of the aggregation.

a.

finalize

b.

filter

c.

procedure

d.

none of the mentioned

Discuss
Answer: (a).finalize
Q25.
_________ can return the results of a map-reduce operation as a document, or may write the results to collections.

a.

mapReduce

b.

mapperRed

c.

RedMap

d.

none of the mentioned

Discuss
Answer: (a).mapReduce
Q26.
For most aggregation operations, the ______ Pipeline provides better performance and more coherent interface.

a.

Aggregate

b.

Replication

c.

Sharding

d.

None of the mentioned

Discuss
Answer: (a).Aggregate
Q27.
What would be the maximum document size for results of mapreduce operation?

a.

15 MB

b.

16 MB

c.

17 MB

d.

All of the mentioned

Discuss
Answer: (b).16 MB
Q28.
_______ filters the document stream to allow only matching documents to pass unmodified into the next pipeline stage.

a.

$regex

b.

$reg

c.

$match

d.

None of the mentioned

Discuss
Answer: (c).$match
Q29.
Point out the wrong statement.

a.

Documents do not pass through the stages in sequence

b.

Pipeline stages appear in an multi dimensional array

c.

$project reshapes each document in the stream, such as by adding new fields or removing existing fields

d.

All of the mentioned

Discuss
Answer: (c).$project reshapes each document in the stream, such as by adding new fields or removing existing fields
Q30.
Which of the following can be used to implement field level redaction?

a.

$skip

b.

$limit

c.

$match

d.

$redact

Discuss
Answer: (d).$redact
Page 3 of 12

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