MongoDB Optimization Strategies: Advanced-Level Quiz

MongoDB Optimization Strategies Quiz

This quiz covers key techniques for optimizing MongoDB performance, including indexing, query tuning, and schema design. You’ll also explore memory management, sharding, and replication strategies. Good luck!

1 / 20

How does proper schema design contribute to MongoDB optimization?

Slows down read performance

Reduces unnecessary data duplication

Lowers write performance

Increases the need for more indexes

2 / 20

Aggregation pipelines are generally more efficient for processing large datasets than multiple separate queries. True or False?

True

False

3 / 20

To optimize MongoDB’s read/write performance, it's recommended to place frequently accessed data in _______.

Large clusters

Cloud storage

Replica sets

The working set (RAM)

4 / 20

Which of the following strategies is recommended to optimize write performance in MongoDB?

Enable sharding for all databases

Store large documents in a single collection

Use multiple indexes on each collection

Use bulk inserts

5 / 20

Which of the following is a best practice for optimizing read operations in MongoDB?

Perform frequent full-text searches

Store all data in a single collection

Use the projection to return only required fields

Use only single-field indexes

6 / 20

MongoDB requires a filesystem that supports ______ on directories.

fsync()

sync()

fsynconce()

none of the above

7 / 20

What is the primary purpose of using indexes in MongoDB optimization?

To enforce schema validation

To reduce the size of documents

To replicate data faster

To speed up query execution

8 / 20

________ do not typically provide sufficient performance to support a MongoDB deployment.

RAID-7

RAID-10

RAID-5

None of the above

9 / 20

Which operation would benefit most from a compound index in MongoDB?

Aggregation pipelines

A query filtering by a single field

Insert operations

A query that filters and sorts by multiple fields

10 / 20

The ________ command returns information regarding the number of open connections.

connPoolStats

serverstats

connStats

none of the above

11 / 20

All collections have a unique ________ lock that allows multiple clients to modify documents in different collections at the same time.

readers

writer

readers-writer

none of the above

12 / 20

WiredTiger can compress collection data using either snappy or zlib compression library.

lib

Kit

zip

snappy

13 / 20

When running MongoDB in production on Linux, it is recommended that you use Linux kernel version 2.6.36 or later. True or False?

True

False

14 / 20

_____ is a command-line tool for monitoring network use.

bwm-n

bwm-ng

bwm-g

bwm-ngs

15 / 20

The TCP keepalive on the Azure load balancer is ______ seconds by default.

100

150

200

16 / 20

MongoDB includes support for two storage engines. True or False?

True

False

17 / 20

zlib provides a better compression rate but has a higher performance cost. True or False?

True

False

18 / 20

What is the recommended approach to handling large data sets in MongoDB for improved performance?

Increase the number of secondary nodes

Create a single large collection

Disable replication

Implement sharding

19 / 20

Using MongoDB’s WiredTiger storage engine with compression enabled can reduce storage costs without significantly affecting performance. True or False?

True

False

20 / 20

Which of the following is especially important in Sharded Clusters?

NTP

NSS

SSD

STP

Your score is

The average score is 0%

MongoDB Optimization Strategies focus on techniques to enhance database performance. This includes indexing, query tuning, schema design best practices, and efficient use of aggregation pipelines.

Additionally, it covers caching strategies, sharding configurations, and optimizing resource utilization for high-performance applications.

This quiz is designed ideally for those working on high-traffic applications or complex database systems requiring advanced optimization techniques.