AI Project Cycle Quiz

Which stage of the AI Project Cycle involves visualizing data to identify patterns before modelling?

• Problem Scoping

• Data Acquisition

• Data Exploration

• Evaluation

In Data Exploration, which chart is BEST for showing the distribution of a single numeric variable?

• Pie Chart

• Histogram

• Line Graph

• Scatter Plot

Which modelling approach allows the machine to adapt automatically by learning from data without explicit rules?

• Rule‑Based Approach

• Learning‑Based Approach

• Hard‑Coding

• Manual Tuning

During evaluation, which metric represents the proportion of correct predictions out of total predictions?

• Precision

• Recall

• Accuracy

• F1‑Score

In a confusion matrix, if the model predicts "Yes" but the reality is "No", this case is called:

• True Positive

• False Positive

• True Negative

• False Negative

The primary reason for splitting data into training and test sets is to:

• Reduce file size

• Evaluate performance on unseen data

• Speed up training

• Remove duplicates

Which deployment activity ensures the model continues to perform well over time and detects errors or drifts?

• Data Cleaning

• Monitoring & Maintenance

• Data Labeling

• Data Collection

In the CottonAce case study, installing the pest‑management app on farmers' phones corresponds to which AI stage?

• Data Acquisition

• Modelling

• Evaluation

• Deployment

Visualizing data before modelling helps primarily to:

• Encrypt the dataset

• Select suitable models and detect outliers

• Increase sample size

• Reduce training time to zero

Which of the following is NOT typically part of the deployment process?

• API Creation

• Integration with UI

• Collecting raw data

• Continuous Monitoring