MongoDB Sharding and Data Distribution Quiz

Welcome to the MongoDB Sharding and Data Distribution Quiz! This quiz will test your understanding of sharding, a key feature in MongoDB that allows horizontal scaling and efficient data distribution across clusters. You’ll explore shard keys, chunk management, balancer operations, and how data is stored and accessed in a sharded setup. Good luck, and enjoy deepening your knowledge of MongoDB's sharding architecture!

1 / 20

What command is used to add a shard to a MongoDB cluster?

sh.addShard()

addShardCluster()

addShard()

db.addShard()

2 / 20

In a sharded MongoDB cluster, where is metadata about the distribution of data stored?

Config servers

Replica sets

Shard key

Query routers

3 / 20

In MongoDB sharding, which of the following ensures that the cluster remains balanced by redistributing data as necessary?

Query router

Shard key

Config servers

Chunk migration

4 / 20

What happens if there is no shard key specified in a MongoDB sharded collection?

MongoDB uses the default shard for all data

Data is randomly distributed across shards

MongoDB uses the primary key as a shard key

The collection cannot be sharded

5 / 20

Which of the following best describes chunk splitting in MongoDB?

Splitting data evenly across replica sets

Splitting oversized chunks into smaller chunks for balanced distribution

Dividing data across shards based on shard keys

Partitioning data by query type

6 / 20

Once a shard key is selected for a collection, it cannot be changed. True or False?

True

False

7 / 20

What is a shard key in MongoDB?

A field used for querying

A field that determines how data is distributed across shards

A key that encrypts data during distribution

A key used for indexing

8 / 20

When adding a new shard to a sharded MongoDB cluster, what is the first step?

Re-index the entire database

Add a new config server

Migrate chunks to the new shard

Configure the new shard as a replica set

9 / 20

Which of the following MongoDB components is responsible for managing sharded clusters?

Query router (mongos)

Config servers

Replica sets

Shard key

10 / 20

Which of the following statements about MongoDB’s range-based sharding is true?

Range-based sharding is not effective in evenly distributing data.

Range-based sharding is primarily used for text-based fields

Range-based sharding uses a sequential ordering of values to determine chunk boundaries.

Range-based sharding does not require a shard key.

11 / 20

Which of the following is a valid way to choose a shard key?

The shard key must not change over time

The shard key must be a numeric field

The key must be unique across all documents

The shard key must be indexed

12 / 20

What is the primary purpose of sharding in MongoDB?

To optimize query execution

To encrypt data across multiple nodes

To store data in multiple formats

To distribute data across multiple servers for scalability

13 / 20

How are chunks distributed in MongoDB’s sharding architecture?

Based on the data type of the shard key

Randomly across available shards

Based on the values of the shard key

In a round-robin manner across all shards

14 / 20

When would you disable the balancer in a MongoDB sharded cluster?

To increase indexing speed

To prevent write operations

When adding a new shard

During data migration or maintenance

15 / 20

What happens when a query is sent to a sharded MongoDB cluster?

The query router determines which shard holds the necessary data and directs the query accordingly

It is routed to all shards for execution

It is only executed on the primary shard

It is automatically split across all available config servers

16 / 20

MongoDB supports both hash-based and range-based sharding strategies. True or False?

True

False

17 / 20

Which of the following commands is used to check the status of the balancer in a MongoDB sharded cluster?

db.adminCommand({balancerStatus: 1})

sh.status()

sh.isBalancerRunning()

balancer.status()

18 / 20

What happens when a shard in a MongoDB sharded cluster becomes unresponsive?

The cluster will continue functioning as normal, but queries involving the unresponsive shard will fail

The cluster automatically stops accepting new queries

The query router will mark the shard as read-only

The shard’s data is immediately transferred to another shard

19 / 20

Which of the following is the main role of a mongos in a MongoDB sharded cluster?

It manages shard key indexes

It stores the data across shards

It routes queries to the appropriate shard

It acts as the primary replica set

20 / 20

What is the main disadvantage of range-based sharding in MongoDB?

It cannot be used with compound shard keys

It leads to inefficient indexing

It does not support replication

It can cause data hotspots due to uneven chunk distribution

Your score is

The average score is 0%

Understanding MongoDB Sharding and Data Distribution is essential for designing and maintaining distributed systems that handle large datasets efficiently while optimizing query performance and resource utilization.

The MongoDB Sharding and Data Distribution quiz is designed for intermediate-level professionals. It targets individuals with foundational knowledge of MongoDB and wants to deepen their understanding of distributed database systems’ sharding, data distribution, and scaling strategies.

Good luck!