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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 4 of 10

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Q31.
When a chunk grows beyond the chunk size, MongoDB attempts to split the chunk into smaller chunks, always based on ranges in the _____________

a.

replica set

b.

shard key

c.

tag sets

d.

all of the mentioned

Discuss
Answer: (c).tag sets
Q32.
Point out the correct statement.

a.

The shard key determines the distribution of the collection’s documents among the cluster’s shards

b.

The shard key is either an indexed field or an indexed compound field that exists in every document in the collection

c.

Each range, or chunk, defines a non-overlapping range of shard key values

d.

All of the mentioned

Discuss
Answer: (d).All of the mentioned
Q33.
The index on the shard key cannot be a _________ index.

a.

single

b.

multkikey

c.

unique

d.

all of the mentioned

Discuss
Answer: (b).multkikey
Q34.
Hashed shard keys use a ________ index of a single field as the shard key to partition data across your sharded cluster.

a.

hashed

b.

unique

c.

multkikey

d.

all of the mentioned

Discuss
Answer: (a).hashed
Q35.
Point out the correct statement.

a.

Hashed keys do not work well with fields that increase monotonically like ObjectId values or timestamps

b.

If you shard an empty collection using a hashed shard key, MongoDB will automatically create and migrate chunks so that each shard has two chunks

c.

Hashed keys work well with ObjectId values only

d.

All of the mentioned

Discuss
Answer: (b).If you shard an empty collection using a hashed shard key, MongoDB will automatically create and migrate chunks so that each shard has two chunks
Q36.
You can control how many chunks MongoDB will create with the ___________ parameter.

a.

numChunks

b.

numInitialChunks

c.

numberofchunks

d.

all of the mentioned

Discuss
Answer: (b).numInitialChunks
Q37.
MongoDB automatically computes the hashes when resolving queries using ______ indexes.

a.

hashed

b.

unique

c.

muiltkey

d.

all of the mentioned

Discuss
Answer: (c).muiltkey
Q38.
MongoDB generates _______ values upon document creation to produce a unique identifier for the object.

a.

ObjectId

b.

CompId

c.

DoctId

d.

All of the mentioned

Discuss
Answer: (a).ObjectId
Q39.
A shard key that increases monotonically will not hinder performance if most of your write operations are ____ operations.

a.

insert()

b.

update()

c.

delete()

d.

all of the mentioned

Discuss
Answer: (b).update()
Q40.
The mongos provides an interface for applications to interact with sharded clusters that hides the complexity of data ______

a.

partitioning

b.

replication

c.

sharding

d.

none of the mentioned

Discuss
Answer: (a).partitioning
Page 4 of 10

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