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

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

connPoolStats

serverstats

connStats

none of the above

2 / 20

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

True

False

3 / 20

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

True

False

4 / 20

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

100

150

200

5 / 20

The use of compound indexes can improve query performance by supporting multiple fields in a query. True or False?

True

False

6 / 20

Which of the following is especially important in Sharded Clusters?

NTP

NSS

SSD

STP

7 / 20

With the MMAPv1 storage engine, MongoDB preallocates its database files before using them and often creates large files. True or False?

True

False

8 / 20

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

lib

Kit

zip

snappy

9 / 20

MongoDB Cloud Manager provides integration with Amazon Web Services (AWS) and lets you deploy new ______ instances directly from MongoDB Cloud Manager.

ECS

EC2

EC3

EC4

10 / 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

11 / 20

By default, WiredTiger uses a zip compression library. True or False?

True

False

12 / 20

With the WiredTiger storage engine, use of _______ is strongly recommended to avoid performance issues.

SST

XFS

SSD

All of the above

13 / 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

14 / 20

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

bwm-n

bwm-ng

bwm-g

bwm-ngs

15 / 20

What does the MongoDB "working set" refer to in terms of optimization?

The amount of data MongoDB keeps in memory for fast access

The set of collections in a database

The number of active user connections

The number of indexes used by a query

16 / 20

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

RAID-7

RAID-10

RAID-5

None of the above

17 / 20

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

True

False

18 / 20

When optimizing MongoDB writes, which technique can help prevent write conflicts in a sharded cluster?

Use compound indexes

Use large document sizes

Distribute write operations across shards based on shard keys

Disable journaling

19 / 20

Which of the following MongoDB tools helps identify slow queries and performance bottlenecks?

Aggregation Framework

MongoDB Atlas

Ops Manager

Query Profiler

20 / 20

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

True

False

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.