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Practice Quiz - Lesson 1

Authored by Jane Lim

Computers

University

Used 3+ times

Practice Quiz - Lesson 1
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8 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following IS NOT a critical challenge faced by businesses today.

Competition and market saturation

Consumer Behavior Changes

Organizational Alignment

Economic Uncertainty

Digital Transformation and Technology Disruption

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following IS NOT type of Data Analytic?

Descriptive Analytic

Preventive Analytics

Diagnostic Analytic

Prescriptive Analytic

Predictive Analytic

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best fits the description for Data Analytic?

Process of collecting and processing data.

Process of collecting, processing, and analyzing data.

Process of discovering patterns and trends.

Process of collecting, processing, cleaning, and analyzing data to discover trends and patterns.

Process of collecting, and analyzing data to discover trends and patterns.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

1. What is the primary advantage of agility in businesses when dealing with Big Data?

Faster processing of data

Ability to quickly adapt to market changes

Increased storage capacity

Improved employee satisfaction

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes how Big Data contributes to business agility?

It reduces the need for human decision-making.

It allows businesses to react in real-time to changing conditions.

It minimizes the volume of data that needs to be analyzed.

It eliminates the risk of business failure.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can Big Data analytics help businesses in making more agile decisions?

By storing data in the cloud.

By focusing solely on internal company data.

By predicting future trends based on historical data.

By reducing the amount of data available.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between insights and foresights in the context of Big Data?

Insights focus on understanding past data, while foresights predict future trends.

Insights are purely theoretical, while foresights are data-driven.

Insights are used for immediate decisions, while foresights are used for long-term strategie

Insights focus on external data, while foresights focus on internal data.

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