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Fundamentals of Modern Data (Mid-term Exam)

Total questions: 40

Worksheet time: 40mins

Name
Class
Date
1.

Which of the following best describes the role of data in 21st-century businesses?

a)

Data is primarily used for archiving events

b)

Data enhances decision-making and innovation

c)

Data is irrelevant to strategic goals

d)

Data only serves the marketing department

2.

Why is data considered a strategic asset?

a)

It is cheap and easy to store

b)

It helps organizations make informed decisions

c)

It reduces the need for technology

d)

It eliminates human input

3.

Which industry is most likely to benefit from big data analytics?

a)

Only tech companies

b)

Only government agencies

c)

Any industry, including retail, healthcare, and finance

d)

None

4.

A business that uses historical sales data to forecast inventory is demonstrating:

a)

Cloud computing

b)

Descriptive analysis

c)

Predictive analytics

d)

Data deletion

5.

Which of the following is NOT a challenge faced in the data-driven era?

a)

Data privacy concerns

b)

Lack of digital talent

c)

Manual bookkeeping

d)

Overload of data sources

6.

What distinguishes modern data practices from traditional ones?

a)

Use of filing cabinets

b)

Manual data calculations

c)

Automation and real-time insights

d)

Reliance on intuition only

7.

What is one major reason businesses are investing in data-related technologies?

a)

To avoid legal obligations

b)

To better understand and engage customers

c)

To eliminate internet use

d)

To reduce employee numbers

8.

What term describes the use of data to support operational decisions?

a)

Data redundancy

b)

Evidence-based decision making

c)

Manual reporting

d)

Business intuition

9.

A key goal of digital transformation is to:

a)

Stop using analytics

b)

Integrate data into business processes

c)

Replace all staff with machines

d)

Archive customer data

10.

In the modern business landscape, data is often referred to as:

a)

The new oil

b)

A cost center

c)

A liability

d)

An outdated tool

11.

In the SMAC model, "S" stands for:

a)

Sales

b)

Security

c)

Social

d)

Static

12.

What does "M" refer to in the SMAC stack?

a)

Microservices

b)

Mobility

c)

Marketing

d)

Manual input

13.

Cloud computing allows organizations to:

a)

Store data only on physical drives

b)

Eliminate data altogether

c)

Access scalable computing resources over the internet

d)

Operate without networks

14.

Social media data is particularly useful for understanding:

a)

Internal payroll systems

b)

Customer sentiment and engagement

c)

Server logs

d)

File compression

15.

Which technology enables real-time access to enterprise applications?

a)

Mainframe

b)

Mobility

c)

CRT Monitor

d)

Tape drives

16.

The SMAC stack is significant because it:

a)

Limits collaboration

b)

Increases complexity unnecessarily

c)

Supports digital business transformation

d)

Is a legacy system

17.

Analytics in SMAC is concerned with:

a)

Display formatting

b)

Statistical and AI-driven insights

c)

Hardware monitoring

d)

Storing data only

18.

Which of the following is NOT part of the SMAC concept?

a)

Cloud

b)

Social media

c)

Blockchain

d)

Analytics

19.

A benefit of integrating SMAC technologies is:

a)

Higher paper usage

b)

Reduced connectivity

c)

Enhanced agility and innovation

d)

Slower business processes

20.

Which scenario best illustrates SMAC usage in business?

a)

Using printed surveys

b)

Running social media ads, mobile apps, and cloud analytics

c)

Filing documents

d)

Managing leave on paper

21.

What is the first step in forming a data strategy?

a)

Purchase expensive tools

b)

Define business goals

c)

Hire a data scientist

d)

Collect all data

22.

A data strategy should align with:

a)

Current trends

b)

Business vision and mission

c)

Competitor ads

d)

Staff preferences

23.

Which is a key element of a data strategy?

a)

Data decoration

b)

Data governance

c)

Data hiding

d)

Data panic

24.

What is data monetization?

a)

Deleting data

b)

Revenue from data

c)

Printing large datasets

d)

Encrypting files

25.

One risk of not having a data strategy is:

a)

Better coordination

b)

Higher agility

c)

Disconnected data assets

d)

Easier compliance

26.

What does data architecture refer to?

a)

Building design

b)

Structure of data systems

c)

Dashboard visuals

d)

Customer reviews

27.

A good data strategy improves:

a)

Guesswork

b)

Data isolation

c)

Business outcomes

d)

Storage costs

28.

When evaluating a data strategy, businesses should measure:

a)

Email responses

b)

ROI and business impact

c)

Staff complaints

d)

Report length

29.

A centralized data strategy helps organizations to:

a)

Create more silos

b)

Minimize visibility

c)

Ensure consistency

d)

Avoid responsibility

30.

Which of the following is a best practice in data strategy implementation?

a)

Hoard unclassified data

b)

Avoid stakeholders

c)

Regularly update policies

d)

Block data sharing

31.

What best defines data science?

a)

Cleaning offices

b)

Extracting insights from data

c)

Building websites

d)

Designing hardware

32.

A data scientist primarily:

a)

Conducts interviews

b)

Models data insights

c)

Delivers supplies

d)

Writes contracts

33.

Which of these tools is widely used in data science?

a)

Python

b)

Notepad

c)

Paint

d)

WinRAR

34.

What is data preprocessing?

a)

Destroying files

b)

Cleaning raw data

c)

Deleting nulls

d)

Encrypting data

35.

In data science, what is a model?

a)

Paper template

b)

Mathematical data pattern

c)

Marketing plan

d)

Database report

36.

Which task is most associated with machine learning?

a)

Editing documents

b)

Creating predictive models

c)

Filing forms

d)

Designing posters

37.

What is the purpose of EDA?

a)

Encrypt data

b)

Visualize data

c)

Compress data

d)

Validate code

38.

Data visualization helps by:

a)

Replacing databases

b)

Presenting insights clearly

c)

Printing documents

d)

Encrypting files

39.

What is CRISP-DM?

a)

Sales tool

b)

Data mining process

c)

Website builder

d)

Legal framework

40.

Which is NOT a CRISP-DM phase?

a)

Data Understanding

b)

Modeling

c)

Business Understanding

d)

Spreadsheet Styling