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 statements is wrong?

MongoDB represents queries as BSON objects

Field names in MongoDB’s query language have semantic meaning

Client libraries provide a convenient, injection free, process to build these objects

All of the above

2 / 20

Capped collections provide __________ management of inserted documents in MongoDB.

LRU

MRU

LIFO

FIFO

3 / 20

___________ data models allow applications to store related pieces of information in the same database record.

Embedded

Reference

External

None of the above

4 / 20

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

inheritance

isa

contains

All of the above

5 / 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

6 / 20

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

child

top

parent

None of the above

7 / 20

To get the current number of namespaces in the mongo shell, use ________________

db.system.namespaces.count(*)

db.system.namespaces.count()

db.system.namespaces.countc()

None of the above

8 / 20

With MongoDB 3.0.0, the default use of the Power of _________ Allocations minimizes the occurrences of re-allocations as well as allows for the effective reuse of the freed record space.

1 sized

2 sized

3 sized

4 sided

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

Which of the following checks and repairs errors and inconsistencies in data storage?Which of the following checks and repairs errors and inconsistencies in data storage?

repairedDatabase

repairDatabase

recoverDatabase

All of the above

11 / 20

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

8KB

28KB

68KB

108KB

12 / 20

___________ strategy is used to explicitly avoid document growth.

pre-allocation

deallocation

allocation

None of the above

13 / 20

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

Cursor

DeReferences

Collectors

References

14 / 20

Which of the following field allows efficient retrieval of chunks?

object

name

15 / 20

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

Documents

Namespaces

Collections

None of the above

16 / 20

______________ documents capture relationships between data by storing related data in a single document structure.

External

Internal

Capped

Embedded

17 / 20

Which of the following statements is not true?

There are two tools that allow applications to represent these relationships: references and embedded documents

The key decision in designing data models for MongoDB applications revolves around the structure of documents and how the application represents relationships between data

When designing data models, always consider the application usage of the data (i.e. queries, updates, and processing of the data) as well as the inherent structure of the data itself

All of the above

18 / 20

In MongoDB, write operations are atomic at the __________ level.

document

row

collection

all of the mentioned

19 / 20

Which of the collections in GridFS stores the binary chunks?

log

data

files

chunks

20 / 20

Normalized data models describe relationships using ___________ between documents.

References

Relativeness

Evaluation

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!