Understanding BSON Internals: Intermediate-Level Quiz

Understanding BSON Internals

This quiz focuses on BSON, the binary representation of JSON-like documents used by MongoDB. You will explore the structure, data types, and encoding methods of BSON, and how it differs from standard JSON. Good Luck with the quiz!

1 / 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

2 / 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

3 / 20

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

External

Internal

Capped

Embedded

4 / 20

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

document

row

collection

all of the mentioned

5 / 20

BSON is a binary representation of ________ documents.

JSON

BSON

XML

JScript

6 / 20

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

References

External

Capped

Embedded

7 / 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

8 / 20

_______________ is a specification for storing and retrieving files that exceed the BSON-document size limit of 16MB.

GridFS

DataFS

ReadFS

None of the above

9 / 20

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

Embedded

Reference

External

None of the above

10 / 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

11 / 20

___________ strategy is used to explicitly avoid document growth.

pre-allocation

deallocation

allocation

None of the above

12 / 20

Which of the following field allows efficient retrieval of chunks?

object

name

13 / 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

14 / 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

15 / 20

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

comma

period

colon

dot

16 / 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

17 / 20

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

Cursor

DeReferences

Collectors

References

18 / 20

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

inheritance

isa

contains

All of the above

19 / 20

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

child

top

parent

None of the above

20 / 20

Capped collections provide __________ management of inserted documents in MongoDB.

LRU

MRU

LIFO

FIFO

Your score is

The average score is 0%

Understanding BSON Internals involves learning how BSON (Binary JSON) works and how MongoDB uses it to represent data in a compact, efficient binary format.

It covers the internal structure of BSON documents, the data types it supports, and how it differs from JSON in terms of encoding and storage.

This quiz is crucial for those looking to test their knowledge in optimizing data storage and query performance in MongoDB.

All the best.