Knowledge check

Quiz

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Knowledge check

Evaluate your understanding of this unit by completing the knowledge check below.

Question 1 of 3

What is one main purpose of dimensionality reduction?

• A. To add more redundant features
• B. To reduce noise and simplify high-dimensional feature spaces
• C. To replace all model evaluation metrics
• D. To guarantee fairness automatically

Correct Answer: B

Feedback: Dimensionality reduction helps simplify feature spaces and improve efficiency.

Which concept helps manage and reuse features consistently across models in production?

• A. Label smoothing
• B. Random oversampling
• C. One-hot encoding
• D. Feature stores

Correct Answer: D

Feedback: Feature stores help standardise, serve and govern features at scale.

Why is feature drift monitoring important in production systems?

• A. Feature distributions can change over time and reduce model quality
• B. It removes the need for retraining
• C. It guarantees stable business conditions
• D. It prevents all missing data

Correct Answer: A

Feedback: Monitoring drift helps teams detect shifts before model performance degrades.