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Post-Test Data Governance, Data Quality, Policy-Standard

Total questions: 16

Worksheet time: 8mins

Name
Class
Date
1.

What is the primary goal of data governance?

a)

To create complex data models

b)

To manage and ensure the quality, security, and usability of data

c)

To analyze trends in data usage

d)

To automate data collection processes

2.

Who typically oversees data governance in an organization?

a)

Marketing manager

b)

Data Governance Officer or Council

c)

HR personnel

d)

Frontline staff

3.

Which of these is a key component of data governance?

a)

Cloud server maintenance

b)

Data ownership and accountability

c)

Network troubleshooting

d)

Creating user manuals

4.

Which term best describes the process of ensuring that data is consistent across systems?

a)

Data cleansing

b)

Data governance

c)

Data integration

d)

Data minimization

5.

Which of these is a sign of poor data quality?

a)

Accurate reports

b)

Duplicate records

c)

High-quality visualizations

d)

Secure storage of data

6.

What does data validation involve?

a)

Training employees on data entry

b)

Checking the accuracy and correctness of data entries

c)

Backing up data on the cloud

d)

Creating complex queries

7.

Which of the following best describes a policy?

a)

A set of high-level principles or rules to guide actions

b)

A step-by-step document detailing a specific task

c)

A technical manual for using a tool

d)

A collection of data schemas

8.

A standard in data management is:

a)

A checklist for data processing tasks

b)

A specific, measurable requirement for compliance with a policy

c)

A suggestion for improving team collaboration

d)

A method for encrypting data

9.

Which is an example of a procedure?

a)

Instructions on encrypting customer data

b)

A company's data privacy policy

c)

A guideline recommending best practices for data analysis

d)

A list of approved data visualization tools

10.

Which of the following is considered personal data?

a)

A user’s email address

b)

A random number generated by a program

c)

An anonymized dataset

d)

A server IP address

11.

Why is Personal Data Protection (PDP) training important for employees?

a)

To ensure they are aware of best practices for handling sensitive data

b)

To improve technical skills in database design

c)

To learn programming languages for data analysis

d)

To configure network firewalls

12.

What does GDPR stand for?

a)

General Data Protection Regulation

b)

Global Data Privacy Regulation

c)

Government Data Privacy Rule

d)

General Data Processing Requirement

13.

If an employee shares a customer’s personal data without consent, which principle is violated?

a)

Data minimization

b)

Lawfulness, fairness, and transparency

c)

Data portability

d)

Data retention

14.

Which of these is a basic principle of data quality?

a)

Data must always be encrypted

b)

Data must be timely, accurate, and complete

c)

Data must be used for marketing purposes

d)

Data must be easy to store

15.

When training employees on personal data protection, what is the first topic to cover?

a)

Handling backups securely

b)

Understanding what qualifies as personal data

c)

Writing SQL queries

d)

Installing antivirus software

16.

An organization decides to limit the personal data collected from users to only what is necessary. Which principle does this follow?

a)

Data minimization

b)

Data retention

c)

Data completeness

d)

Data accuracy