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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 38 of 43

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Q371.
How does RDF-3X handle the process of tuning indices?

a.

It relies on manual index tuning

b.

It eliminates the need for index tuning

c.

It outsources index tuning to a third-party service

d.

It uses a query language for index tuning

Discuss
Answer: (b).It eliminates the need for index tuning Explanation:RDF-3X eliminates the process of tuning indices by using exhaustive indexing of subject-predicate-object triples.
Q372.
What aspect of RDF-3X's architecture results in highly compressed indices?

a.

Distributed storage

b.

Query optimization

c.

Exhaustive indexing

d.

Cost modeling

Discuss
Answer: (c).Exhaustive indexing Explanation:RDF-3X's exhaustive indexing of subject-predicate-object triples results in highly compressed indices.
Q373.
Which of the following is NOT a feature of RDF-3X?

a.

Cost model with statistical synopses

b.

Complex query optimizer

c.

Relying on orthogonal aspects

d.

Efficient online updates

Discuss
Answer: (c).Relying on orthogonal aspects Explanation:RDF-3X does not rely on orthogonal aspects; instead, it focuses on efficient online updates and query optimization.
Q374.
In what format does RDF-3X store document data?

a.

JSON

b.

BSON

c.

XML

d.

CSV

Discuss
Answer: (b).BSON Explanation:RDF-3X stores document data in BSON, a binary JSON format.
Q375.
In which application domain is Big Data investment likely to have excellent future prospects?

a.

Medicine and healthcare

b.

Information mobility

c.

Transportation

d.

Entertainment

Discuss
Answer: (a).Medicine and healthcare Explanation:Big Data investment in the field of medicine and healthcare is likely to have excellent future prospects.
Q376.
Which application domain is less likely to require geographically distributed databases?

a.

Social media

b.

Education and e-learning

c.

Smart city

d.

Security

Discuss
Answer: (b).Education and e-learning Explanation:Education and e-learning applications are typically confined to local levels and may not require geographically distributed databases.
Q377.
In which application domain is high database consistency less relevant?

a.

Business and financial

b.

Security

c.

Social media

d.

Medicine and healthcare

Discuss
Answer: (c).Social media Explanation:High database consistency may be less relevant for social media applications compared to other domains.
Q378.
What aspect of Big Data solutions is related to reaction time?

a.

Distributed management

b.

Database consistency

c.

Internal parallelism

d.

Educational analysis

Discuss
Answer: (c).Internal parallelism Explanation:Internal parallelism in Big Data solutions is related to reaction time, especially in cases where parallel implementations of algorithms can be advantageous.
Q379.
Which application domain may perform user profile clustering offline?

a.

Smart city

b.

Medicine and healthcare

c.

Social media

d.

Security

Discuss
Answer: (c).Social media Explanation:Social media applications may perform user profile clustering offline, updating values periodically rather than in real time.
Q380.
In which application domain is the analysis of student profiles typically locally based?

a.

Medicine and healthcare

b.

Entertainment

c.

Social media

d.

Education and e-learning

Discuss
Answer: (d).Education and e-learning Explanation:The analysis of student profiles in the education and e-learning domain is typically locally based.
Page 38 of 43

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