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

Production sharded clusters have exactly ______ config servers.

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

_________ interface with client applications and direct operations to the appropriate shard or shards.

Query Routers

Query Parsers

Query Executors

None of the mentioned

5 / 20

_______-based partitioning, by contrast, ensures an even distribution of data at the expense of efficient range queries.

Range

Hash

Table

None of the mentioned

6 / 20

________ servers store the cluster’s metadata.

Config

Master

Local

All of the mentioned

7 / 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

8 / 20

MongoDB allows administrators to direct the balancing policy using ______ aware sharding.

replica

tag

rack

all of the mentioned

9 / 20

Cloud-based providers may only allow users to provision smaller instances. True or False?

True

False

10 / 20

To support ________ based sharding, MongoDB provides a hashed index type.

root

primary

hash

all of the mentioned

11 / 20

For hash-based partitioning, MongoDB computes a hash of a field’s value and then uses these hashes to create chunks. True or False?

True

False

12 / 20

In MongoDB, Sharding is the process of ___ across multiple machines.

Drop data records

Truncate data records

Storing data records

All of the mentioned above

13 / 20

How many components are present in sharded cluster?

14 / 20

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

True

False

15 / 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

16 / 20

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

Less than one

More than 1

17 / 20

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

True

False

18 / 20

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

isMaster

range

document

tree

19 / 20

Database systems with small data sets and high throughput applications can challenge the capacity of a single server. True or False?

True

False

20 / 20

To provide high availability and data consistency, in a production sharded cluster, each shard is a ___________

partition

replica set

cluster

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!