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Welcome to the Introduction to Big Data MCQs Page

Dive deep into the fascinating world of Introduction to Big Data with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Introduction to Big Data, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Introduction to Big Data, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Big Data Computing.

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Check out the MCQs below to embark on an enriching journey through Introduction to Big Data. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Big Data Computing.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Introduction to Big Data. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Introduction to Big Data MCQs | Page 36 of 43

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Q351.
What is the primary data format used by MongoDB?

a.

XML

b.

JSON

c.

CSV

d.

SQL

Discuss
Answer: (b).JSON Explanation:MongoDB primarily uses BSON, a binary JSON format, to store document data.
Q352.
What is the main advantage of using a document-oriented database like MongoDB?

a.

Fixed and predefined document keys

b.

Hierarchical relationships with a single record

c.

Strict schema definition

d.

Limited support for complex data structures

Discuss
Answer: (b).Hierarchical relationships with a single record Explanation:A document-oriented database like MongoDB allows representing complex hierarchical relationships with a single record.
Q353.
What type of queries does MongoDB support?

a.

Only SQL queries

b.

Only NoSQL queries

c.

MapReduce queries

d.

Only hierarchical queries

Discuss
Answer: (c).MapReduce queries Explanation:MongoDB supports MapReduce queries in addition to other query types.
Q354.
How does MongoDB achieve redundancy and fault tolerance?

a.

By using a fixed schema

b.

By embedding documents within each other

c.

By using asynchronous replication

d.

By avoiding horizontal scaling

Discuss
Answer: (c).By using asynchronous replication Explanation:MongoDB achieves redundancy and fault tolerance through asynchronous and master-slave replications.
Q355.
What is a benefit of MongoDB's scale-out design?

a.

Increased server costs

b.

Reduced storage costs

c.

Limited developer flexibility

d.

Strict schema requirements

Discuss
Answer: (b).Reduced storage costs Explanation:MongoDB's scale-out design can reduce storage costs and make it more cost-effective to use commodity hardware.
Q356.
What type of database management system is Objectivity Platform?

a.

Relational Database Management System (RDBMS)

b.

Object-Oriented Database Management System (OODBMS)

c.

Document-Oriented Database Management System (Document-OODBMS)

d.

Hierarchical Database Management System (HDBMS)

Discuss
Answer: (b).Object-Oriented Database Management System (OODBMS) Explanation:Objectivity Platform is an Object-Oriented Database Management System (OODBMS).
Q357.
What are some scenarios where using Objectivity Platform might be advantageous?

a.

When the data has a simple structure

b.

When there are no complex relationships in the data

c.

When there are components of variable length and multi-dimensional arrays in the data

d.

When data access is limited to a single platform and language

Discuss
Answer: (c).When there are components of variable length and multi-dimensional arrays in the data Explanation:Objectivity Platform is advantageous when there are components of variable length and multi-dimensional arrays in the data.
Q358.
What type of architecture does Objectivity Platform use?

a.

Single-node architecture

b.

Distributed database architecture

c.

Centralized database architecture

d.

Cloud-based architecture

Discuss
Answer: (b).Distributed database architecture Explanation:Objectivity Platform uses a distributed database architecture.
Q359.
What does Objectivity Platform's distributed database architecture enable?

a.

Easy data management with limited scalability

b.

Transparent distribution of computation tasks

c.

Support for a single data model

d.

Geographical distribution of data

Discuss
Answer: (b).Transparent distribution of computation tasks Explanation:Objectivity Platform's distributed database architecture enables transparent distribution of computation tasks.
Q360.
What is one advantage of Objectivity Platform's architecture in terms of performance and scalability?

a.

It supports a limited number of users

b.

It has a single centralized database

c.

It is not scalable

d.

It achieves high performance with large volumes of data and users

Discuss
Answer: (d).It achieves high performance with large volumes of data and users Explanation:Objectivity Platform's architecture achieves high performance with large volumes of data and users.
Page 36 of 43

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