MongoDB Sharding Concepts and Configuration: Intermediate-Level Quiz

MongoDB Sharding Concepts and Configuration Quiz

This quiz focuses on MongoDB's sharding architecture, a strategy for horizontally partitioning large datasets across multiple servers. You'll be tested on key concepts like shard keys, chunk distribution, configuring sharded clusters, and managing data rebalancing. Understanding sharding is essential for building scalable and high-performance MongoDB deployments, especially for applications with large datasets and high query loads. Good Luck!

1 / 20

In MySQL, what does sharding help with?

Data encryption

Data recovery

Data archiving

Data scalability

2 / 20

_______ scaling adds more CPU and storage resources to increase capacity.

Partition

Horizontal

Vertical

All of the mentioned

3 / 20

MongoDB supports horizontal scaling through Sharding, distributing data across several machines, and facilitating high throughput operations with large sets of data. True or False?

True

False

4 / 20

How many background process runs behind balanced cluster?

5 / 20

Use sharded clusters if your data set approaches or exceeds the storage capacity of a single MongoDB instance. True or False?

True

False

6 / 20

MongoDB divides the shard key values into replica sets. True or False?

True

False

7 / 20

To divide the shard key values into chunks, MongoDB uses _____ based partitioning.

isMaster

range

document

tree

8 / 20

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

True

False

9 / 20

Tags are the primary mechanism to control the behavior of the _______ and the distribution of chunks in a cluster.

Collector

Balancer

Compactor

All of the mentioned

10 / 20

_______ divides the data set and distributes the data over multiple servers, or shards.

Sharding

Vertical

Partition

All of the mentioned

11 / 20

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

Less than one

More than 1

12 / 20

________ servers store the cluster’s metadata.

Config

Master

Local

All of the mentioned

13 / 20

High query rates can exhaust the CPU capacity of the server. True or False?

True

False

14 / 20

The query router uses __________ to target operations to specific shards.

cluster

metadata

replica

all of the mentioned

15 / 20

How many components are present in sharded cluster?

16 / 20

MongoDB supports sharding through the configuration of a sharded ______.

sets

shapes

clusters

all of the mentioned

17 / 20

To shard a document, you need to select a shard key. True or False?

True

False

18 / 20

MongoDB uses _________ to support deployments with very large data sets and high throughput operations.

replica sets

replication

sharding

all of the mentioned

19 / 20

Production sharded clusters have exactly ______ config servers.

20 / 20

With hash based partitioning, two documents with _____ shard key values are unlikely to be part of the same chunk.

open

partially close

all of the mentioned

Your score is

The average score is 0%

MongoDB sharding concepts and configuration entails distributing data across multiple servers to ensure scalability and high availability. It covers how sharding works in MongoDB, including shard keys, balancing data, and configuring sharded clusters.

This quiz is designed for those looking to understand and implement sharding for improved scalability and performance in MongoDB environments.

Best of luck!