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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 1 of 12

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Q1.
____________ are operations that process data records and return computed results.

a.

ReplicaAgg

b.

SumCalculation

c.

Aggregations

d.

None of the mentioned

Discuss
Answer: (c).Aggregations
Q2.
Point out the wrong statement.

a.

Map-reduce cannot have a finalize stage to make final modifications to the result

b.

Map-reduce is less efficient and more complex than the aggregation pipeline

c.

Specifically, a user with the userAdmin role can grant itself any privilege in the database

d.

All of the mentioned

Discuss
Answer: (a).Map-reduce cannot have a finalize stage to make final modifications to the result
Q3.
Running data aggregation on the ________ instance simplifies application code and limits resource requirements.

a.

document

b.

mongod

c.

mongos

d.

all of the mentioned

Discuss
Answer: (b).mongod
Q4.
Documents enter a multi-stage __________ that transforms the documents into an aggregated result.

a.

pipeline

b.

pipelineView

c.

pipelineUser

d.

all of the mentioned

Discuss
Answer: (a).pipeline
Q5.
Point out the wrong statement.

a.

MongoDB also provides map-reduce operations to perform aggregation

b.

The pipeline provides efficient data aggregation using native operations within MongoDB

c.

Map-reduce can specify a query condition to select the input documents as well as sort and limit the results

d.

None of the mentioned

Discuss
Answer: (d).None of the mentioned
Q6.
The most basic pipeline stages provide __________ that operate like queries.

a.

methods

b.

filters

c.

stored procedure

d.

none of the mentioned

Discuss
Answer: (b).filters
Q7.
Pipeline stages can use __________ for tasks such as calculating the average or concatenating a string.

a.

replicas

b.

operators

c.

roles

d.

all of the mentioned

Discuss
Answer: (b).operators
Q8.
Map-reduce uses custom __________ functions to perform the map and reduce operations.

a.

Java

b.

Javascript

c.

JSON

d.

None of the mentioned

Discuss
Answer: (b).Javascript
Q9.
Which of the following operation can be optionally used for map reduce?

a.

finally

b.

final

c.

static

d.

none of the mentioned

Discuss
Answer: (a).finally
Q10.
The aggregation pipeline can use ___________ to improve its performance during some of its stages.

a.

indexes

b.

OptmData

c.

functions

d.

all of the mentioned

Discuss
Answer: (a).indexes
Page 1 of 12

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