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

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

8KB

28KB

68KB

108KB

2 / 20

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

Documents

Namespaces

Collections

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

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

TPL

TEL

TTL

All of the above

5 / 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

6 / 20

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

comma

period

colon

dot

7 / 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

8 / 20

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

9 / 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

10 / 20

Which of the collections in GridFS stores the binary chunks?

log

data

files

chunks

11 / 20

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

document

row

collection

all of the mentioned

12 / 20

Capped collections provide __________ management of inserted documents in MongoDB.

LRU

MRU

LIFO

FIFO

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

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

15 / 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

16 / 20

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

References

External

Capped

Embedded

17 / 20

BSON is a binary representation of ________ documents.

JSON

BSON

XML

JScript

18 / 20

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

Cursor

DeReferences

Collectors

References

19 / 20

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

inheritance

isa

contains

All of the above

20 / 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

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.