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

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

2 / 20

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

Embedded

Reference

External

None of the above

3 / 20

A ____________ data model with embedded data combines all related data for a represented entity in a single document.

denormalized

normalized

relational

non relational

4 / 20

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

Cursor

DeReferences

Collectors

References

5 / 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

6 / 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

7 / 20

___________ strategy is used to explicitly avoid document growth.

pre-allocation

deallocation

allocation

None of the above

8 / 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

9 / 20

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

8KB

28KB

68KB

108KB

10 / 20

There are _________ byte counter in BSON, starting with a random value.

11 / 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

12 / 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

13 / 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

14 / 20

Capped collections provide __________ management of inserted documents in MongoDB.

LRU

MRU

LIFO

FIFO

15 / 20

BSON is a binary representation of ________ documents.

JSON

BSON

XML

JScript

16 / 20

Which of the collections in GridFS stores the binary chunks?

log

data

files

chunks

17 / 20

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

TPL

TEL

TTL

All of the above

18 / 20

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

inheritance

isa

contains

All of the above

19 / 20

Which of the following field allows efficient retrieval of chunks?

object

name

20 / 20

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

comma

period

colon

dot

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.