MongoDB Profiling and Query Analysis: Advanced-Level Quiz

MongoDB Profiling and Query Analysis Quiz

Welcome to the MongoDB Profiling and Query Analysis quiz! This quiz is designed to test your knowledge of MongoDB’s profiling tools, explain() function, and performance monitoring methods. You’ll tackle questions about profiling levels, query planning, execution stats, and best practices for analyzing and optimizing query performance. Good luck, and let’s dive in!

1 / 20

What does the executionStats verbosity in explain() provide that queryPlanner does not?

Configuration information of the profiler

Details on index selection

Actual number of documents scanned and execution time

Collection schema structure

2 / 20

Which MongoDB profiler level completely disables profiling and does not collect any data?

Level 0

Level 1

Level 2

Level 3

3 / 20

The profiler can be set to log all operations, including fast-running queries. True or False?

True

False

4 / 20

The MongoDB explain() function can be used to analyze aggregation pipelines. True or False?

True

False

5 / 20

What command would you use to enable profiling on a MongoDB database at level 2?

db.enableProfiler(2)

db.setProfilingLevel(2)

db.profile(2)

db.setProfileLevel(2)

6 / 20

Which explain() verbosity level only provides the query plan without actual execution statistics?

executionStats

allPlansExecution

minimalExecutionStats

queryPlanner

7 / 20

In the executionStats section of explain(), which field indicates the time taken to execute a query?

timeElapsed

queryTime

executionTimeMillis

execDuration

8 / 20

The MongoDB profiler can record aggregation pipeline stages in detail. True or False?

True

False

9 / 20

Which of the following commands provides details on queries running in real time?

db.system.profile.find()

db.currentOp()

db.setProfilingLevel(2)

db.stats()

10 / 20

To reset the profiling level, you must restart the MongoDB server. True or False?

True

False

11 / 20

Only admins can view or change the profiler settings in MongoDB.

True

False

12 / 20

How can you analyze a query without actually running it and affecting performance?

Set profiling level to 1

Use find() with a limit

Use db.collection.stats()

Run explain() with queryPlanner verbosity

13 / 20

Where are profiler data and query statistics stored in MongoDB?

local.system.indexes

admin.system.profile

database_name.system.profile

config.system.collections

14 / 20

What is the purpose of MongoDB’s profiler?

To manage user permissions

To capture slow-running queries and database operations

To log changes to data

To monitor system hardware performance

15 / 20

When using explain() in MongoDB, what does the totalKeysExamined field represent?

The total number of documents examined

The total time taken by the query

The number of indexes created

The total number of index entries scanned during the query

16 / 20

Which of the following fields in explain() output provides information about the documents returned by a query?

nReturned

indexUsed

executionStats

docsExamined

17 / 20

At which profiling level does MongoDB log only slow operations based on a specified threshold?

Level 1

Level 2

Level 3

Level 4

18 / 20

The MongoDB profiler can capture both read and write operations. True or False?

True

False

19 / 20

Which explain() option shows data about alternative query plans considered by MongoDB?

queryOptions

allPlansExecution

executionStats

queryPlanner

20 / 20

MongoDB’s profiler must be set to level 2 to capture all queries, regardless of execution time. True or False?

True

False

Your score is

The average score is 0%

MongoDB Profiling and Query Analysis focuses on monitoring and optimizing query performance. Tools like the Database Profiler and explain() method helps identify slow queries, analyze execution plans, and improve index usage.

It’s essential for ensuring efficient operations and maintaining high-performing databases. This quiz is for MongoDB experts who want to enhance their skills in optimizing MongoDB query performance and diagnosing issues through profiling and query analysis.

All the best!