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Free AIGP Practice Questions

10 free, exam-style AI Governance Professional (AIGP) practice questions with answers and explanations. No signup required. Work through them below, then take the full free AIGP practice test to study every exam domain.

These 10 free AIGP questions are organized by exam domain, so you can see how each part of the AI Governance Professional blueprint is tested. Reveal the answer and explanation under each question.

Domain 1: Foundations of Artificial Intelligence and Responsible AI Principles

Question 1

All of the following are recognized responsible AI principles EXCEPT:

  1. Fairness and non-discrimination
  2. Profitability and market share
  3. Transparency and explainability
  4. Accountability and human oversight
Show answer & explanation

Correct answer: B - Profitability and market share

Question 2

Under the EU AI Act, who bears PRIMARY responsibility for ensuring a high-risk AI system undergoes conformity assessment and receives CE marking before being placed on the market?

  1. The deployer who will use the system
  2. The provider who developed the system
  3. The end users of the system
  4. The national regulatory authority
Show answer & explanation

Correct answer: B - The provider who developed the system

Domain 2: AI Laws, Regulations, and Standards

Question 3

Under the EU AI Act, an AI system used by employers for recruitment screening and candidate evaluation would be classified as:

  1. Prohibited AI (unacceptable risk)
  2. High-risk AI
  3. Limited-risk AI
  4. Minimal-risk AI
Show answer & explanation

Correct answer: B - High-risk AI

Question 4

What is the MAXIMUM penalty under the EU AI Act for placing a prohibited AI system on the market?

  1. €7.5 million or 1.5% of global annual turnover
  2. €15 million or 3% of global annual turnover
  3. €35 million or 7% of global annual turnover
  4. €50 million or 10% of global annual turnover
Show answer & explanation

Correct answer: C - €35 million or 7% of global annual turnover

Question 5

In the NIST AI Risk Management Framework (AI RMF), which function is responsible for establishing policies, defining roles, and setting organizational risk tolerance for AI systems?

  1. MAP
  2. MEASURE
  3. MANAGE
  4. GOVERN
Show answer & explanation

Correct answer: D - GOVERN

Domain 3: AI Development Lifecycle and Governance

Question 6

When an AI model trained on historical hiring data perpetuates past discrimination against certain demographic groups, this is an example of:

  1. Measurement bias
  2. Historical bias
  3. Aggregation bias
  4. Deployment bias
Show answer & explanation

Correct answer: B - Historical bias

Question 7

An AI fraud detection system that performed well at launch begins producing significantly more false positives after six months because customer spending patterns have fundamentally changed. This performance degradation is BEST described as:

  1. Data drift
  2. Model drift
  3. Concept drift
  4. Brittleness
Show answer & explanation

Correct answer: C - Concept drift

Domain 4: AI Deployment, Risk Management, and Generative AI Risks

Question 8

A generative AI chatbot provides users with confident responses that include fabricated facts, non-existent citations, and false information. This phenomenon is commonly known as:

  1. Prompt injection
  2. Model collapse
  3. Hallucination
  4. Overfitting
Show answer & explanation

Correct answer: C - Hallucination

Question 9

CASE STUDY: Your organization is evaluating an AI vendor for a high-risk credit scoring application. The vendor offers competitive pricing but refuses to allow third-party audits or disclose their training data sources. What is the MOST appropriate response?

  1. Accept the vendor if their performance metrics are satisfactory
  2. Treat the lack of transparency as a significant risk factor that may disqualify the vendor
  3. Proceed with the vendor but add liability clauses to the contract
  4. Request references from other clients instead of an audit
Show answer & explanation

Correct answer: B - Treat the lack of transparency as a significant risk factor that may disqualify the vendor

Question 10

CASE STUDY: An AI-powered medical triage system has been deployed for 8 months. A post-market review reveals the system consistently underestimates urgency for patients over 65, potentially delaying critical care. What should be the organization's FIRST action?

  1. Document the finding and schedule a fix for the next quarterly update
  2. Immediately suspend or deactivate the system while assessing impact and remediation
  3. Add a disclaimer warning users about potential limitations
  4. Retrain the model with more elderly patient data before taking further action
Show answer & explanation

Correct answer: B - Immediately suspend or deactivate the system while assessing impact and remediation

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