adplus-dvertising

Welcome to the Application of Big Data in Analyzing Electric Meter Data MCQs Page

Dive deep into the fascinating world of Application of Big Data in Analyzing Electric Meter Data with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Application of Big Data in Analyzing Electric Meter Data, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Application of Big Data in Analyzing Electric Meter 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.

frame-decoration

Check out the MCQs below to embark on an enriching journey through Application of Big Data in Analyzing Electric Meter 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 Application of Big Data in Analyzing Electric Meter Data. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Application of Big Data in Analyzing Electric Meter Data MCQs | Page 2 of 12

Explore more Topics under Big Data Computing

Q11.
What are neural networks well suited for?

a.

Analyzing linear patterns

b.

Identifying deterministic relationships

c.

Finding nonlinear patterns

d.

Characterizing relationships among discrete nodes

Discuss
Answer: (c).Finding nonlinear patterns Explanation:Neural networks are well suited for finding nonlinear patterns in data.
Q12.
In which field is network analysis typically used?

a.

Signal processing

b.

Spatial analysis

c.

Social network analysis

d.

Genetic algorithms

Discuss
Answer: (c).Social network analysis Explanation:Network analysis is typically used in social network analysis to characterize relationships among individuals in a community, such as how information travels or who has the most influence over whom.
Q13.
What type of data does spatial analysis typically involve?

a.

Digital signals

b.

Graphs and networks

c.

Location information

d.

Survey and experiment results

Discuss
Answer: (c).Location information Explanation:Spatial analysis typically involves data with location information, such as addresses or latitude/longitude coordinates.
Q14.
What is the primary goal of statistics?

a.

Designing experiments

b.

Collecting and organizing data

c.

Identifying deterministic relationships

d.

Making judgments about relationships between variables

Discuss
Answer: (d).Making judgments about relationships between variables Explanation:The primary goal of statistics is to make judgments about what relationships between variables could have occurred by chance and what relationships likely result from some kind of underlying causal links.
Q15.
Why are network-related aspects considered important in the context of Big Data?

a.

To optimize cloud computing

b.

To host large public datasets

c.

To enable new services in the cloud

d.

To facilitate the exchange of large amounts of data

Discuss
Answer: (d).To facilitate the exchange of large amounts of data Explanation:Network-related aspects are considered important in the context of Big Data to facilitate the exchange of large amounts of data from one location to another.
Q16.
What technology is expected to make intra-cloud networking more efficient?

a.

1 Gigabit Ethernet (1GbE)

b.

High-performance computing applications

c.

10 Gigabit Ethernet (10 GbE)

d.

Compressed daily incremental backups

Discuss
Answer: (c).10 Gigabit Ethernet (10 GbE) Explanation:10 Gigabit Ethernet (10 GbE) is expected to make intra-cloud networking more efficient and reduce network contention and data transfer latencies.
Q17.
What new services become possible once archived data is conveyed in the cloud?

a.

Cloud Computing cycles for backup services

b.

Creation of searchable indices for archival data

c.

Inexpensive WAN bandwidth

d.

Daily incremental backups

Discuss
Answer: (b).Creation of searchable indices for archival data Explanation:Once archived data is conveyed in the cloud, new services become possible, such as creating searchable indices for all your archival data.
Q18.
How can Cloud Computing make off-premise backup services more affordable?

a.

By reducing the cost of 10 Gigabit Ethernet

b.

By using WAN bandwidth more efficiently

c.

By offering compressed backups

d.

By reducing the cost of ingress bandwidth

Discuss
Answer: (d).By reducing the cost of ingress bandwidth Explanation:Cloud Computing can make off-premise backup services more affordable by reducing the cost of ingress bandwidth.
Q19.
What are some strategic sectors where new applications have been developed in the context of high-capacity network infrastructure?

a.

Social networking and gaming

b.

Entertainment and e-commerce

c.

Health care, clean energy production, and transportation

d.

Education and research

Discuss
Answer: (c).Health care, clean energy production, and transportation Explanation:New applications have been developed in the strategic sectors of health care, clean energy production, and transportation with the use of high-capacity network infrastructure.
Q20.
How is "Big Data" defined in terms of its size and handling?

a.

Data sets beyond a certain number of terabytes

b.

Data sets that are difficult to store but easy to analyze

c.

Data sets that are easy to manage but difficult to analyze

d.

Data sets beyond the capacity of typical database software tools

Discuss
Answer: (d).Data sets beyond the capacity of typical database software tools Explanation:"Big Data" is defined as data sets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze.
Page 2 of 12

Suggested Topics

Are you eager to expand your knowledge beyond Big Data Computing? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!

DBMS

Get a firm grasp on database systems with our DBMS MCQs. Explore relational...

Visual Basic

Enhance your knowledge of Microsoft's event-driven programming language with our...

UNIX

Become proficient with the Unix operating system using our UNIX MCQs. Learn about...

Reverse Engineering

Strengthen your understanding of Reverse Engineering with our curated set of MCQs....

Systems Analysis and Design Methods

Get familiar with the process of designing and improving business systems with our...

Java Spring Framework

Enhance your Java development skills with our Spring Framework MCQs. Learn about...

Digital Communication

Master the basics of electronic communication with our Digital Communication MCQs....

JavaScript

Strengthen your web development skills with our JavaScript MCQs. Understand core...

PHP

Venture into server-side scripting with our PHP MCQs. Cover everything from syntax...