Chapter 1- Revisiting AI project Cycle
Quiz by Thirupathi Pachaiyappan
Feel free to use or edit a copy
includes Teacher and Student dashboards
Measure skillsfrom any curriculum
Tag the questions with any skills you have. Your dashboard will track each student's mastery of each skill.
- edit the questions
- save a copy for later
- start a class game
- automatically assign follow-up activities based on students’ scores
- assign as homework
- share a link with colleagues
- print as a bubble sheet
- Q1
Whatis the first stage of the AI Project Cycle?
Problem Scoping
Data Acquisition
Deployment
Modeling
30s - Q2
In the problem scoping stage, which framework is used to understand the problem?
5Ws
SWOT Analysis
4Ws (Who, What, Where, Why)
6Sigma
30s - Q3
Who are typical stakeholders identified in the problem scoping phase of an AI project?
Only developers
Only end-users
Competitors
Students, teachers, and staff involved in the system
30s - Q4
Why is data acquisition crucial to AI?
It defines the business problem
It monitors final outcomes
It tests the AI model
It supplies the raw data needed to train AI models
30s - Q5
Which data types are commonly used in AI projects?
None of the above
Text, images, videos, numerical, audio
Only numerical data
Only text
30s - Q6
What is the purpose of data exploration in AI?
To ignore data trends
To transform raw data into useful insights using visualization and statistics
To deploy the model
To delete irrelevant data
30s - Q7
Why is modelling important in AI development?
It ignores the data structure
It collects data
It writes the final report
It designs how AI systems understand relationships in data to predict outcomes
30s - Q8
Which step ensures that the AI model meets the goals set in the project scoping?
Evaluation
Data Acquisition
Deployment
Modelling
30s - Q9
What happens in the deployment phase of AI?
Integration of the AI model in a production environment with continuous monitoring
Collecting raw data
Data cleaning
Testing algorithms
30s - Q10
In AI, what does the 4Ws Problem Canvas consist of?
Who, When, What, Where
Which, What, Why, How
Who, What, When, How
Who, What, Where, Why
30s - Q11
In the case study of a school's waste management, what is the key goal?
Installing cameras for security
Developing an AI-powered system to automatically identify and sort waste
Hiring new staff
Cleaning waste manually
30s - Q12
What kinds of data sources may be used for AI data acquisition?
Only manual surveys
Academic journals, newspapers, internet, databases
Only sensor data
None of the above
30s - Q13
What is one key benefit of data visualization during data exploration?
Easy understanding of patterns, trends, and relationships in data
Avoiding insights generation
Increasing data noise
Making data less accessible
30s - Q14
Why is model evaluation important?
To collect more data
To train the model
To ignore model accuracy
To understand if the AI meets set objectives and modify if necessary
30s - Q15
What role does continuous monitoring play in AI deployment?
Ensures AI delivers accurate and reliable results over time
To stop training
To reduce user interaction
To make the model obsolete
30s