Copyright (c) 2026 MindMesh Academy. All rights reserved. This content is proprietary and may not be reproduced or distributed without permission.

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.

Alvin Varughese
Written byAlvin Varughese
Founder15 professional certifications