MongoDB Aggregation Framework Basics: Beginner-Level Quiz

MongoDB Aggregation Framework Basics Quiz

This quiz evaluates your understanding of MongoDB's aggregation framework, including key stages like $match, $group, $project, and $unwind. Mastery of these concepts is essential for efficiently processing, transforming, and analyzing data in MongoDB.

1 / 20

Which MongoDB aggregation pipeline stage is used to lter documents based on specic criteria?

$group

$smatch

$sort

$project

2 / 20

What happens if an aggregation pipeline is too complex or requires too many resources?

The query may time out or fail

MongoDB optimizes the query internally

The query automatically retries

The query results are truncated

3 / 20

Aggregation's operations process data records and return computed results. True or False?

True

False

4 / 20

What is the difference between $count and $group stages?

Aggregates documents into groups

Removes duplicate documents

Adds or modifies fields in the documents

Joins two collections

5 / 20

What is the difference between $count and $group stages?

$count returns a single count, while $group aggregates documents by field values

$group is faster than $count

Both perform the same function

$count aggregates documents based on a field

6 / 20

The $group stage is used to summarize data by grouping documents based on specific fields. True or False?

True

False

7 / 20

Which of the following options best describes the $addFields stage?

Joins two collections

Aggregates documents into groups

Removes duplicate documents

Adds or modifies fields in the documents

8 / 20

The $facet stage is used to run multiple aggregation pipelines within a single query. True or False?

True

False

9 / 20

What does the $project stage do in an aggregation pipeline?

Filters documents based on conditions

Specifies which fields to include or exclude in the output

Creates a new collection with the results

Groups documents by a specified field

10 / 20

Which of the following is NOT a valid aggregation pipeline stage?

$match

$project

$group

$index

11 / 20

Aggregation operations in MongoDB ___ values from multiple documents.

Set

Data set

Group

None of the mentioned above

12 / 20

Which stage would you use to combine multiple aggregation results into one array?

$push

$unwind

$group

$merge

13 / 20

Which of the following stages can combine multiple arrays from a document into a single array?

$mergeObjects

$group

$project

$arrayElemAt

14 / 20

What does the $lookup stage do in an aggregation pipeline?

Searches for documents by keyword

Filters documents by a specific condition

Performs a left outer join between two collections

Creates a unique index on a field

15 / 20

What is the primary purpose of the aggregation framework in MongoDB?

To enforce schema validation

To modify data types within collections

To manage transactions across multiple collections

To process and transform data within collections

16 / 20

Which of the following stages allows you to calculate averages, sums, or counts?

$group

$unwind

$lookup

$project

17 / 20

What is the purpose of the $skip stage in an aggregation pipeline?

Limits the document size

Joins two collections

Skips a specified number of documents

Filters out duplicate documents

18 / 20

The $sort stage in an aggregation pipeline can sort documents by multiple fields. True or False?

True

False

19 / 20

Which of the following is the correct syntax for starting an aggregation pipeline?

db.collection.aggregate([ ... ])

db.collection.startPipeline({ ... })

db.collection.aggregatePipeline({ ... })

db.collection.pipelineAggregate([ ... ])

20 / 20

What does the $out stage do in an aggregation pipeline?

Limits the size of the output

Joins documents from two collections

Writes the aggregation results to a new or existing collection

Sorts the output documents

Your score is

The average score is 0%

MongoDB Aggregation Framework Basics covers MongoDB’s aggregation framework’s fundamental concepts and operations. It includes understanding stages like $match, $group, $sort, and $project.

It also covers how they can be combined in a pipeline to perform complex queries, filtering, grouping, and data sorting. This quiz provides the foundation for more advanced data analysis and manipulation in MongoDB.

Best of luck!