AI Project Cycle and Domains Quiz

What is the first step in the AI Project Cycle?

• Model Training

• Problem Scoping

• Data Acquisition

• Evaluation

During data acquisition, which of the following is NOT a typical data source?

• Authentic online databases

• Random opinions from peers

• Government repositories

• Sensor readings

Why is data visualization important in AI project development?

• It looks attractive

• It saves time

• It helps interpret patterns

• It increases processing speed

What is the purpose of model evaluation in the AI Project Cycle?

• To collect more data

• To visualize the results

• To test accuracy and performance

• To store the model

Deployment of AI involves:

• Testing with dummy data

• Sharing the model code

• Integration into real-world environments

• Deleting training datasets

Why is it important to understand the problem well during scoping?

• It ensures you use the latest tools

• It helps clarify project goals and parameters

• It makes coding easier

• It avoids visualizing the wrong graphs

Which activity comes immediately after problem scoping?

• Data Evaluation

• Data Acquisition

• Model Deployment

• Training

What is done during model selection?

• Buying software

• Testing different models for suitability

• Hiring developers

• Cleaning datasets

Which is a typical output of the evaluation stage?

• Dataset

• Model code

• Accuracy reports

• PowerPoint presentations

What is the AI Project Cycle described as?

• Linear

• One-time process

• Cyclical

• Optional