MongoDB Data Modeling Techniques: Intermediate-Level Quiz

MongoDB Data Modeling Techniques Quiz

This quiz evaluates your understanding of key data modeling techniques in MongoDB. You’ll encounter questions on designing efficient schemas, embedding vs. referencing data, handling relationships, and optimizing storage for performance. Mastering these concepts is essential for building scalable, flexible applications using MongoDB. Good luck!

1 / 20

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

denormalized

normalized

relational

non relational

2 / 20

___________ bulk indexes may be more efficient for some kinds of content and workloads in real-time.

Unique

Synchronous

Asynchronous

None of the mentioned

3 / 20

The query to retrieve the parent of a node is fast and straightforward True or False?

True

False

4 / 20

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

Capped

External

Internal

Embedded

5 / 20

The query to retrieve the parent of a node is slow and complex True or False?

True

False

6 / 20

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

isa

inheritance

contains

all of the mentioned

7 / 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

Reference schema is generally known as “denormalized” models

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

None of the above

8 / 20

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

External

References

Embedded

Capped

9 / 20

___________ strategy is used to explicitly avoid document growth.

allocation

deallocation

pre-allocation

none of the mentioned

10 / 20

Which of the following statements is correct?

An array with a small number of elements will incur greater indexing costs on insertion

An array with a large number of elements will incur greater indexing costs on insertion

An array with a large number of elements will incur smaller indexing costs on updates

None of the above

11 / 20

Which of the following statements is correct?

Data in MongoDB has a flexible schema

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

None of the mentioned

12 / 20

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

row

collection

document

all of the mentioned

13 / 20

You can query for a node in the children's field to find its parent node and siblings. True or False?

True

False

14 / 20

To add structures to your document to support keyword-based queries add the keywords as ______ in the array.

character

number

strings

none of the mentioned

15 / 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

16 / 20

____________ pattern requires additional steps of working with strings and regular expressions.

Array of Ancestors

Nested Sets

Materialized Paths

None of the mentioned

17 / 20

Which of the following is related to document that do not provide a way to weight results?

Ranking

Synonyms

Stemming

None of the mentioned

18 / 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.

2 sized

3 sized

4 sized

5 sized

19 / 20

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

8KB

28KB

68KB

108KB

20 / 20

Which of the following pattern is more straightforward to use?

Array of Ancestors

Materialized Paths

Nested Sets

All of the above

Your score is

The average score is 0%

MongoDB data modeling techniques focus on designing efficient and scalable data models for MongoDB.

It covers strategies for structuring data to optimize performance, including embedding vs. referencing documents, handling relationships, and ensuring data integrity.

This quiz is designed for those who have a basic understanding of MongoDB and want to deepen their knowledge of data modeling strategies.

All the best!