
Module 4: Data Management
Quiz
•
Professional Development
•
Professional Development
•
Practice Problem
•
Hard
SAINS SDMS
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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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