Module 4: Data Management

Module 4: Data Management

Professional Development

8 Qs

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Module 4: Data Management

Module 4: Data Management

Assessment

Quiz

Professional Development

Professional Development

Practice Problem

Hard

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8 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key guideline for designing structured data?

Each column should have a single and consistent purpose

Use multi-value columns

Use long text as attribute names

Avoid using any labels

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the Personal Data Protection Act 2010 (PDPA) define as sensitive personal data?

Data related to financial transactions

Data about physical or mental health

Data about employment history

Data about educational background

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of data anonymization?

To enhance data quality

To increase data storage capacity

To remove Personal Identifiable Information (PII)

To improve data visualization

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of transactional data?

A database of customer feedback

A collection of marketing strategies

Employee payroll records

A list of employee names

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in controlling data quality in Excel?

Using conditional formatting

Creating a pivot table

Formatting cells

Setting up data validation rules

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of using a surrogate key in data management?

To enhance data visualization

To uniquely identify each row

To create multi-value columns

To store sensitive information

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a guideline for structured data design?

Use consistent label names for each column

Avoid attributes whose values may frequently be empty

Avoid long text as attribute names

Use multi-value columns

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