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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.

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Application of Big Data in Analyzing Electric Meter Data MCQs | Page 3 of 12

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Q21.
What is the primary challenge of managing Big Data in traditional databases?

a.

Storing data

b.

Adding data

c.

Retrieving data

d.

Analyzing data

Discuss
Answer: (d).Analyzing data Explanation:The primary challenge of managing Big Data in traditional databases is analyzing the data, not storing it.
Q22.
What is the main purpose of a data warehouse?

a.

Storing data

b.

Analyzing data

c.

Turning data into information

d.

Acquiring data efficiently

Discuss
Answer: (c).Turning data into information Explanation:The main purpose of a data warehouse is to turn data into information, providing information to the right people at the right time and integrating data from various sources.
Q23.
What is one of the key features of a data warehouse?

a.

Efficient transaction processing

b.

Historical data storage

c.

Complex systems management

d.

Transactional data acquisition

Discuss
Answer: (b).Historical data storage Explanation:One of the key features of a data warehouse is in-depth historical data storage.
Q24.
Why is an increase in the complexity of systems management challenging in the context of Big Data?

a.

It simplifies data extraction

b.

It reduces the time required to analyze data

c.

It makes more information available

d.

It decreases the workload of IT departments

Discuss
Answer: (c).It makes more information available Explanation:An increase in the complexity of systems management makes more information available but lengthens the time required to extract and create multiple definitions, which can result in overloaded IT departments.
Q25.
What is the prevailing database model today?

a.

Hierarchical database

b.

Object-oriented database

c.

Relational database

d.

NoSQL database

Discuss
Answer: (c).Relational database Explanation:The prevailing database model today is the relational database.
Q26.
What is a limitation of the relational database model when dealing with large datasets?

a.

It provides inherent ordering of data

b.

It is more efficient for sequential access

c.

It retrieves data in a nonsequential fashion for large datasets

d.

It is well-suited for Big Data applications

Discuss
Answer: (c).It retrieves data in a nonsequential fashion for large datasets Explanation:The limitation of the relational database model is that it retrieves data in a nonsequential fashion for large datasets, particularly when the data no longer fits in memory.
Q27.
What is the impact of suboptimal access patterns on Big Data applications?

a.

Suboptimal access patterns have a minor performance impact

b.

Suboptimal access patterns are irrelevant for Big Data

c.

Suboptimal access patterns greatly magnify the performance impact

d.

Suboptimal access patterns only affect database design

Discuss
Answer: (c).Suboptimal access patterns greatly magnify the performance impact Explanation:Suboptimal access patterns greatly magnify the performance impact on Big Data applications as data set sizes grow.
Q28.
Why do most Internet companies like Google and Facebook not rely on traditional RDBMS technology for Big Data applications?

a.

RDBMS is more cost-effective

b.

RDBMS is highly optimized for Big Data

c.

RDBMS technology cannot handle Big Data

d.

RDBMS is designed for NoSQL databases

Discuss
Answer: (c).RDBMS technology cannot handle Big Data Explanation:Most Internet companies do not rely on traditional RDBMS technology for Big Data applications because RDBMS is not designed to handle Big Data.
Q29.
What is NoSQL in the context of database management systems?

a.

A type of database system that only uses SQL

b.

A relational database management system

c.

A nonrelational database management system

d.

A traditional database system

Discuss
Answer: (c).A nonrelational database management system Explanation:NoSQL refers to nonrelational database management systems, which do not adhere to the traditional relational database model and may not exclusively use SQL for queries.
Q30.
What is the main inspiration behind the MapReduce programming model?

a.

Object-oriented programming

b.

Functional programming

c.

Procedural programming

d.

Aspect-oriented programming

Discuss
Answer: (b).Functional programming Explanation:The MapReduce programming model is inspired by the "map and reduce" functions commonly used in functional programming.
Page 3 of 12

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