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

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

2 / 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

3 / 20

What is the recommended minimum number of config servers in a production MongoDB sharded cluster?

4 / 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

5 / 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

6 / 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

7 / 20

What is the purpose of the config servers in a MongoDB-sharded cluster?

To store metadata about data distribution across shards

To process queries for data distribution

To store application logs

To manage backups

8 / 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

9 / 20

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

sh.addShard()

addShardCluster()

addShard()

db.addShard()

10 / 20

In MongoDB, what type of shard key distribution strategy is recommended to prevent hotspots?

Geo-spatial sharding

Compound key sharding

Hash-based sharding

Range-based sharding

11 / 20

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

Config servers

Replica sets

Shard key

Query routers

12 / 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

13 / 20

MongoDB allows for any field to be used as a shard key. True or False?

True

False

14 / 20

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

True

False

15 / 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

16 / 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

17 / 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

18 / 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()

19 / 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.

20 / 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

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!