MongoDB Data Models and BSON: Beginner-Level Quiz

MongoDB Data Models and BSON

This quiz tests your knowledge of MongoDB's flexible data models and BSON, the binary format for storing and exchanging data. Understanding these concepts is key to designing efficient, schema-less databases. Let's get right at it!

1 / 20

Which of the following field allows efficient retrieval of chunks?

object

name

2 / 20

Each index in MongoDB requires at least _________ of data space.

8KB

28KB

68KB

108KB

3 / 20

To interact with embedded documents, use ___________ notation to “reach into” embedded documents.

comma

period

colon

dot

4 / 20

Which of the following statements is wrong?

When you query a GridFS store for a file, the driver or client will reassemble the chunks as needed

GridFS is useful only for storing files that exceed 16MB

By default GridFS limits chunk size to 255k

All of the above

5 / 20

Which of the collections in GridFS stores the binary chunks?

log

data

files

chunks

6 / 20

For the __________ storage engine, if the document size exceeds the allocated space for that document, MongoDB relocates the document on disk.

MAPv1

MAPv2

MAPv3

MAPv4

7 / 20

___________ strategy is used to explicitly avoid document growth.

pre-allocation

deallocation

allocation

None of the above

8 / 20

Which of the following is used to avoid the repetition of data in MongoDB schema?

Cursor

DeReferences

Collectors

References

9 / 20

___________ is the _id is of the data type chosen for the original document in files collections.

files._id

fileobj._id

file._id

None of the above

10 / 20

________ store the relationships between data by including links or references from one document to another.

References

External

Capped

Embedded

11 / 20

The embedded data model is used when you have _________ relationships between entities.

inheritance

isa

contains

All of the above

12 / 20

Which of the following Statements is correct?

The key consideration for the structure of your documents is the decision to embed or to use references

With MongoDB, you cannot embed related data in a single structure or document

Reference schema is generally known as “denormalized” models

None of the above

13 / 20

The default chunk size is changed from 256k to 255k in which version?

2.4.10

3.0 b. c.

2.4.9

None of the above

14 / 20

Normalized data models describe relationships using ___________ between documents.

References

Relativeness

Evaluation

None of the above

15 / 20

Which of the following statements is wrong?

Embedding related data in documents may lead to situations where documents grow after creation

Embedded data models make it possible to update related data in a single atomic write operation

With the MMAPv1 storage engine, document growth can impact write performance and lead to data fragmentation

All of the above

16 / 20

MongoDB using the mmapv1 storage engine has limits on the number of __________

Documents

Namespaces

Collections

None of the above

17 / 20

The __________ feature of collections expires documents after a period of time.

TPL

TEL

TTL

All of the above

18 / 20

Which of the following statements is true?

The key challenge in data modeling is balancing the needs of the application, the performance characteristics of the database engine, and the data retrieval patterns

In practice, the documents in a collection share a different structure

Data in MongoDB has a flexible schema

All of the above

19 / 20

Capped collections provide __________ management of inserted documents in MongoDB.

LRU

MRU

LIFO

FIFO

20 / 20

The files_id field contains the _id of the chunk’s __________ document.

child

top

parent

None of the above

Your score is

The average score is 0%

MongoDB Data Models and BSON focus on how data is structured and stored in MongoDB using BSON (Binary JSON).

It covers different types of data models, such as embedded and referenced models, and how to choose an appropriate model for your application.

This quiz is designed for developers, data engineers, and database architects who want to deepen their understanding of MongoDB Data Models and BSON.

Good luck!