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Welcome to the Advanced Data Analytics for Business MCQs Page

Dive deep into the fascinating world of Advanced Data Analytics for Business with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Advanced Data Analytics for Business, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Advanced Data Analytics for Business, 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 Advanced Data Analytics for Business. 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 Advanced Data Analytics for Business. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Advanced Data Analytics for Business MCQs | Page 3 of 15

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Q21.
What does descriptive analytics help organizations understand?

a.

Future events

b.

Events occurring in real-time

c.

The past

d.

Potential solutions to challenges

Discuss
Answer: (c).The past Explanation:Descriptive analytics helps organizations provide an understanding of the past.
Q22.
What is the primary focus of prescriptive analytics?

a.

Analyzing historical data

b.

Predicting future trends

c.

Recommending actions to optimize outcomes

d.

Identifying patterns in real-time data

Discuss
Answer: (c).Recommending actions to optimize outcomes Explanation:Prescriptive analytics focuses on recommending actions to optimize outcomes.
Q23.
Which type of analytics is typically applied to structured data but has attempts to extend to unstructured data?

a.

Predictive analytics

b.

Descriptive analytics

c.

Diagnostic analytics

d.

Prescriptive analytics

Discuss
Answer: (b).Descriptive analytics Explanation:Descriptive analytics is typically applied to structured data but has attempts to extend to unstructured data through the creation of structured metadata and indices.
Q24.
What is the primary purpose of ad hoc reporting in descriptive analytics?

a.

Providing usual reporting and dashboards

b.

Analyzing historical data

c.

Addressing real-time challenges

d.

Answering specific, unplanned questions

Discuss
Answer: (d).Answering specific, unplanned questions Explanation:Ad hoc reporting in descriptive analytics is primarily used to answer specific, unplanned questions.
Q25.
What do organizations with effective descriptive analytics typically have?

a.

A single view of the future

b.

A single view of the past

c.

Multiple views of the past

d.

No historical data

Discuss
Answer: (b).A single view of the past Explanation:Organizations with effective descriptive analytics typically have a single view of the past and can focus their attention on the present, rather than on reconciling different views of the past.
Q26.
What is the primary focus of predictive analytics?

a.

Analyzing historical data

b.

Identifying patterns in real-time data

c.

Predicting future probabilities and trends

d.

Real-time operational process optimization

Discuss
Answer: (c).Predicting future probabilities and trends Explanation:Predictive analytics primarily focuses on predicting future probabilities and trends.
Q27.
What is the primary goal of root cause analysis in predictive analytics?

a.

Identifying patterns in data

b.

Projecting forthcoming events

c.

Detecting hidden patterns in data

d.

Understanding why a certain event occurred

Discuss
Answer: (d).Understanding why a certain event occurred Explanation:The primary goal of root cause analysis in predictive analytics is to understand why a certain event occurred.
Q28.
What does Monte-Carlo simulation in predictive analytics aim to determine?

a.

Future probabilities and trends

b.

Hidden patterns in data

c.

Potential outcomes under uncertainty

d.

Real-time operational process optimization

Discuss
Answer: (c).Potential outcomes under uncertainty Explanation:Monte-Carlo simulation in predictive analytics aims to determine potential outcomes under uncertainty.
Q29.
When does predictive analytics make predictions?

a.

By analyzing future data

b.

By examining data about the past

c.

By making assumptions about data

d.

By using only real-time data

Discuss
Answer: (b).By examining data about the past Explanation:Predictive analytics makes predictions by examining data about the past and inferring relationships forward in time.
Q30.
What is the significance of deploying predictive models in real-time operations?

a.

It maximizes the impact of analytics in real-time operations

b.

It helps analyze historical data more effectively

c.

It ensures data accuracy

d.

It predicts future probabilities with high accuracy

Discuss
Answer: (a).It maximizes the impact of analytics in real-time operations Explanation:Deploying predictive models in real-time operations is significant because it maximizes the impact of analytics in such operations.
Page 3 of 15

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