7.3. Practice Questions: AI Concepts & Responsible AI
Test your understanding of AI fundamentals, workload types, and responsible AI principles.
Domain 1: AI Workloads and Considerations (Questions 1-10)
Question 1: A company wants to automatically categorize customer support emails by topic. Which AI workload is this?
- A. Computer Vision
- B. Natural Language Processing ✓
- C. Document Processing
- D. Generative AI
Rationale: The input is text (emails), so this is NLP. Key phrase extraction or text classification would categorize the topics.
Question 2: An application extracts handwritten notes from photographed documents. Which AI workload category applies?
- A. Computer Vision ✓
- B. Natural Language Processing
- C. Generative AI
- D. Speech Processing
Rationale: Although the output is text, the INPUT is an image (photo). Always classify by input type—this is OCR, a computer vision workload.
Question 3: A bank is developing AI to approve mortgage applications. Which TWO factors would violate the fairness principle? (Choose 2)
- A. Credit score
- B. Ethnicity ✓
- C. Annual income
- D. Gender ✓
Rationale: Fairness requires AI not discriminate based on protected characteristics like ethnicity and gender. Credit score and income are legitimate business factors.
Question 4: Which principle of responsible AI ensures users understand they are interacting with an AI system and know its limitations?
- A. Fairness
- B. Accountability
- C. Transparency ✓
- D. Inclusiveness
Rationale: Transparency requires AI systems be designed so users understand their purpose, how they work, and their limitations.
Question 5: Which principle ensures AI systems meet legal and ethical standards?
- A. Transparency
- B. Accountability ✓
- C. Fairness
- D. Privacy and Security
Rationale: Accountability ensures AI systems are designed to meet applicable ethical and legal standards, and that someone is responsible for their behavior.
Question 6: Which TWO principles are most important when designing AI to manage healthcare data? (Choose 2)
- A. Inclusiveness
- B. Accountability ✓
- C. Fairness
- D. Privacy and Security ✓
Rationale: Healthcare data requires privacy protection (sensitive personal data) and accountability (legal compliance like HIPAA).
Question 7: Which AI workload provides closed captioning for live presentations?
- A. Computer Vision
- B. Natural Language Processing
- C. Speech Processing ✓
- D. Document Processing
Rationale: Converting spoken audio to text (for captions) is speech-to-text, part of speech processing.
Question 8: Which scenario is an example of a generative AI workload?
- A. Extracting text from scanned documents
- B. Detecting objects in security footage
- C. Creating marketing copy from product descriptions ✓
- D. Analyzing sentiment in customer reviews
Rationale: Generative AI creates new content. Creating marketing copy is content generation. The others are analysis tasks.
Question 9: A system monitors data over time to identify unusual patterns that may indicate fraud. Which AI capability is this?
- A. Classification
- B. Regression
- C. Anomaly detection ✓
- D. Clustering
Rationale: Anomaly detection identifies outliers or unusual patterns in data—perfect for fraud detection.
Question 10: Which AI workload would you use to process invoices and extract structured data like vendor name, total amount, and due date?
- A. Computer Vision
- B. Natural Language Processing
- C. Document Processing ✓
- D. Generative AI
Rationale: Document processing specializes in extracting structured information from business documents like invoices.