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Chapter 5 Challenges in the Data Analytics Process

Total questions: 10

Worksheet time: 3mins

Name
Class
Date
1.

Which challenge arises when data is stored in isolated departments without integration?

a)

Data visualization

b)

Data silos

c)

Algorithm overfitting

d)

Ethical bias

2.

What is a major pitfall of using incomplete datasets?

a)

Faster processing speeds

b)

Reduced storage costs

c)

Improved data privacy

d)

Inaccurate or biased conclusions

3.

Which term describes the difficulty of managing extremely large datasets?

a)

Data redundancy

b)

Data overload

c)

Data governance

d)

Data anonymization

4.

What is an example of confirmation bias in data analytics?

a)

Analyzing data for pre-existing belief

b)

Cleaning data for missing values

c)

Encrypting sensitive data

d)

Using random sampling methods

5.

Which ethical issue involves using data without explicit user permission?Informed consent violation

a)

Algorithm optimization

b)

Data visualization

c)

Data integration

d)

Informed consent violation

6.

Why is anonymization critical in ethical data practices?

a)

To reduce dataset size

b)

To simplify data analysis

c)

To improve computational speed

d)

To protect individual privacy

7.

What ethical risk arises from using biased training data in machine learning?

a)

Enhanced model accuracy

b)

Reduced storage requirements

c)

Discrimination in algorithmic decisions

d)

Faster data processing

8.

How can organizations address poor data quality?

a)

Avoid data validation

b)

Use smaller datasets

c)

Implement data cleaning

d)

Ignore missing values

9.

What strategy helps break down data silos in large organizations?

a)

Reducing data collection

b)

Encouraging inter-department collaboration

c)

Using separate databases for each team

d)

Prioritizing manual data entry

10.

Which practice reduces algorithmic bias in data analytics?Regularly auditing datasets

a)

Limiting stakeholder input

b)

Avoiding diverse data sources

c)

Regularly auditing datasets

d)

Using only historical data