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Welcome to the Sharding Concepts and Sharded Cluster MCQs Page

Dive deep into the fascinating world of Sharding Concepts and Sharded Cluster with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Sharding Concepts and Sharded Cluster, a crucial aspect of MongoDB. In this section, you will encounter a diverse range of MCQs that cover various aspects of Sharding Concepts and Sharded Cluster, 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 Sharding Concepts and Sharded Cluster. 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 Sharding Concepts and Sharded Cluster. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Sharding Concepts and Sharded Cluster MCQs | Page 2 of 10

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Q11.
A sharded cluster can contain __________ query router to divide the client request load.

a.

1

b.

0

c.

more than 1

d.

all of the mentioned

Discuss
Answer: (c).more than 1
Q12.
Point out the correct statement.

a.

MongoDB distributes data, or shards, at the collection level

b.

To shard a document, you need to select a shard key

c.

MongoDB divides the shard key values into replica sets

d.

All of the mentioned

Discuss
Answer: (a).MongoDB distributes data, or shards, at the collection level
Q13.
________ servers store the cluster’s metadata.

a.

Local

b.

Config

c.

Master

d.

All of the mentioned

Discuss
Answer: (a).Local
Q14.
The query router uses __________ to target operations to specific shards.

a.

metadata

b.

cluster

c.

replica

d.

all of the mentioned

Discuss
Answer: (a).metadata
Q15.
Point out the wrong statement.

a.

For hash-based sharding, MongoDB divides the data set into ranges determined by the shard key values to provide hash based partitioning

b.

Cloud-based providers may only allow users to provision smaller instances

c.

For hash based partitioning, MongoDB computes a hash of a field’s value, and then uses these hashes to create chunks

d.

All of the mentioned

Discuss
Answer: (a).For hash-based sharding, MongoDB divides the data set into ranges determined by the shard key values to provide hash based partitioning
Q16.
Production sharded clusters have exactly ______ config servers.

a.

1

b.

2

c.

3

d.

4

Discuss
Answer: (c).3
Q17.
A _________ key is either an indexed field or an indexed compound field that exists in every document in the collection.

a.

cluster

b.

shard

c.

partition

d.

all of the mentioned

Discuss
Answer: (b).shard
Q18.
To divide the shard key values into chunks, MongoDB uses _____ based partitioning.

a.

range

b.

b tree

c.

document

d.

isMaster

Discuss
Answer: (a).range
Q19.
With hash based partitioning, two documents with _____ shard key values are unlikely to be part of the same chunk.

a.

close

b.

open

c.

partially close

d.

all of the mentioned

Discuss
Answer: (a).close
Q20.
_______ based partitioning, by contrast, ensures an even distribution of data at the expense of efficient range queries.

a.

Hash

b.

Range

c.

Table

d.

None of the mentioned

Discuss
Answer: (b).Range
Page 2 of 10

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