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Module quiz: Business systems applications :Introduction to Computers and Operating Systems and Security (Microsoft Cybersecurity Analyst Professional Certificate) Answers 2025

1. Question 1

Which statement best defines a business need?

❌ The behind-the-scenes requirements of a business
All the requirements included in achieving the money-making aspect of a company
❌ All the services used in marketing a product

Explanation:
A business need focuses on what is required to support the core mission and profitability of the company.


2. Question 2

Microsoft Dynamics 365 Project Operation is an example of business software.

True
❌ False


3. Question 3

Which email client is open-source and highly customizable?

❌ Outlook
Thunderbird
❌ Gmail


4. Question 4

Labeling suspect messages as dangerous and separating them is called:

❌ Automatic and continuous virus scanning
❌ Filtering
Quarantining


5. Question 5

POP3 is an example of an email protocol.

True
❌ False


6. Question 6

Microsoft 365 can be tailored for personal, business, or _______ use.

❌ economic
❌ traditional
educational


7. Question 7

___________ is block-level storage accessed using virtual machines.

Azure Managed Disks
❌ Azure Blobs
❌ Azure Files


8. Question 8

Where is data more processed?

❌ Both processed equally
Data warehouse
❌ Data lake


9. Question 9

Sam uses a feedback form to gather customer ratings. What is she practicing?

❌ Data analysis
Data collection
❌ Data storage


10. Question 10

When preprocessing ML data, which elements should you remove? (Select all)

Errors
Information that doesn’t fit with the rest of the data (outliers)
❌ Missing values

Explanation:
Missing values are usually handled (imputed), not removed outright unless completely unusable.


🧾 Summary Table

Q# Correct Answer Key Concept
1 Requirements that support revenue Business need
2 True Business software
3 Thunderbird Open-source email client
4 Quarantining Email security
5 True Email protocol
6 Educational MS 365 usage
7 Azure Managed Disks Block-level storage
8 Data warehouse Processed data
9 Data collection Feedback gathering
10 Errors, Outliers ML preprocessing