Understanding MongoDB Indexes: Beginner-Level Quiz

MongoDB Indexes Quiz

Welcome to the MongoDB Indexes Quiz! This quiz will test your knowledge of one of MongoDB's most critical aspects: indexing. Indexes are vital in optimizing query performance, ensuring efficient data retrieval, and enabling specialized operations like geospatial queries and text searches. Mastering how MongoDB handles indexes is essential for anyone working with large datasets and performance-sensitive applications.

1 / 20

Which index would you use to ensure that each document in a collection has a unique value for a particular field?

Compound Index

Sparse Index

Multikey Index

Unique Index

2 / 20

How can you list all the indexes on a MongoDB collection?

db.collection.showIndexes()

db.collection.findIndexes()

db.collection.getIndexes()

db.collection.listIndexes()

3 / 20

MongoDB uses ______ indexes to index the content stored in arrays.

singlekey

compkey

multikey

none of the mentioned

4 / 20

Which index type would you use to perform geospatial queries in MongoDB?

GeoJSON Index

Spatial Index

2dsphere Index

3d Index

5 / 20

MongoDB indexes use a _______ data structure.

Map

Hash

B-tree

All of the mentioned

6 / 20

What type of index is automatically created on the _id field of every MongoDB collection?

Text Index

Compound Index

Multikey Index

Single Field Index

7 / 20

_____ indexes uses planar geometry when returning results.

All of the mentioned

8 / 20

What is the purpose of a compound index in MongoDB?

To index multiple fields together for more complex queries

To ensure uniqueness across all documents

To index a single field with multiple values

To create separate indexes for each field in the collection

9 / 20

MongoDB also supports user-defined indexes on multiple fields called ____________.

composite

candidate

compound

none of the mentioned

10 / 20

MongoDB can use the _________ of indexes to fulfill queries.

intersection

projection

union

none of the mentioned

11 / 20

What is the primary purpose of indexes in MongoDB?

To enhance query performance

To replicate data between nodes

To improve data durability

To store data in a compressed format

12 / 20

What is a sparse index in MongoDB?

A type of index used to improve write performance

An index that limits the number of indexed documents

An index that stores only partial field values

An index that includes only documents where the indexed field exists

13 / 20

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

root

primary

hash

all of the mentioned

14 / 20

What happens if you attempt to insert a duplicate value into a field with a unique index?

MongoDB will throw a duplicate key error

MongoDB will allow the insert without any issues

MongoDB will accept the value but remove the existing document

The new value will overwrite the old one

15 / 20

MongoDB supports the creation of user-defined ascending/descending indexes on a ______ field of a document.

Compound

Non Unique

Single

None of the mentioned

16 / 20

Which of the following is a valid use case for a hashed index in MongoDB?

Distributing documents evenly across shards in a sharded cluster

Performing text searches

Sorting query results

Optimizing read performance on multikey fields

17 / 20

Which of the following indexes can be used to search for text-based content within a MongoDB collection?

Multikey Index

Hash Index

Wildcard Index

Text Index

18 / 20

Which index type is used when a field in the collection contains an array of values?

Unique Index

Text Index

Compound Index

Multikey Index

19 / 20

Which command is used to create an index in MongoDB?

db.collection.setIndex()

db.collection.addIndex()

db.collection.index()

db.collection.createIndex()

20 / 20

Which of the following statements is not correct?

MongoDB defines indexes at the collection level and supports indexes on any field or sub-field of the documents in a MongoDB collection

Fundamentally, indexes in MongoDB is different to indexes in other database systems

MongoDB can return sorted results by using the ordering in the index

None of the above

Your score is

The average score is 0%

MongoDB Indexes focuses on optimizing query performance in MongoDB by creating indexes on fields in a collection. It also explains how indexes speed up data retrieval by reducing the number of documents MongoDB needs to scan.

This quiz is designed for users who are familiar with basic MongoDB operations and want to enhance their knowledge of query optimization.

Best of luck!