Practice Quality Of Data: Garbage In, Garbage Out (14.5)

Practise this section

8 questions

Flashcard drill
2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What does 'Garbage In, Garbage Out' mean in AI?
Show hintHide hint
Think about the implications of using incomplete or incorrect data.
Question 2.
List one characteristic of good quality data.
Show hintHide hint
Consider what makes data reliable.
3Question 3.
What does 'Garbage In, Garbage Out' mean?
- Good input leads to good output
- Bad input leads to bad output
- Both are true
Show hintHide hint
Think about the output you expect from AI models.
4Question 4.
Is data completeness important?
- True
- False
Show hintHide hint
Remember how missing data can impact the analysis.
Question 5.
Create a scenario where bad data affects outcomes in a healthcare-focused AI system. Discuss the implications.
Show hintHide hint
Consider real-world examples of healthcare misdiagnoses.
Question 6.
Propose a strategy to ensure data diversity when training an AI model for consumer behavior analysis.
Show hintHide hint
Think about inclusivity in marketing and research.

4 more questions in this section. Enroll free to practise them all.