AI Project Cycle Quiz

What is the first stage of the AI Project Cycle?

• Modelling

• Problem Scoping

• Evaluation

• Data Acquisition

What is the main goal of the Modelling stage?

• To collect data

• To evaluate the results

• To create a model to make predictions or decisions

• To write a report

In which stage do we collect relevant data for the AI project?

• Evaluation

• Problem Scoping

• Data Acquisition

• Modelling

What do we do in the Evaluation stage?

• Collect data

• Test and check how well the model is performing

• Build the model

• Identify the problem

Which of the following is the correct sequence of the AI Project Cycle?

• Data Acquisition → Problem Scoping → Modelling → Evaluation

• Problem Scoping → Data Acquisition → Modelling → Evaluation

• Evaluation → Modelling → Data Acquisition → Problem Scoping

• Modelling → Data Acquisition → Evaluation → Problem Scoping

Why is Problem Scoping important?

• To clean the data

• To write a report

• To understand and define the problem clearly

• To test the AI model

What is done after the Data Acquisition stage?

• Evaluation

• Problem Scoping

• Modelling

• Presentation

What kind of data is needed for a good AI model?

• Irrelevant data

• Random data

• Correct and relevant data

• Incomplete data

What happens if the model fails in the Evaluation stage?

• The model is published

• We go back to improve the model

• We skip to the next stage

• We delete all data

Which stage checks if the model is solving the original problem?

• Data Acquisition

• Modelling

• Problem Scoping

• Evaluation