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Revision_AI for Good_Day 1

Total questions: 5

Worksheet time: 3mins

Name
Class
Date
1.

What are the key abilities of AI systems?

a)

Sense, reason, act, and adapt

b)

Think, memorize, replace, and predict

c)

Store, retrieve, delete, and modify

d)

Compute, analyze, create, and destroy

2.

Which of the following best represents the AI model workflow?

a)

Data → Output → Model

b)

Input → Model → Output

c)

Model → Data → Algorithm

d)

Output → Data → Model

3.

Which of the following is an example of AI application in recommendation systems?

a)

Face ID in smartphones

b)

Netflix suggesting shows you might like

c)

Scanning QR codes for payment

d)

Voice recognition in mobile assistants

4.

What is the importance of data quality in AI training?

a)

Poor data can still produce good results

b)

The type of data does not affect AI outcomes

c)

Incorrect labels and missing values can lead to poor AI predictions

d)

AI models work independently without relying on data

5.

What does "Garbage In, Garbage Out" mean in AI?

a)

AI can fix bad data automatically

b)

The quality of AI output depends on the quality of input data

c)

AI models work best with large amounts of data, regardless of quality

d)

AI does not need training data to function