Try four free, original AIGP exam-style questions with answers and explanations - one from each BoK v2.1 domain. They are study questions, not actual, recalled or leaked IAPP exam items. Open each answer to review the governance reasoning before moving to a full mock exam.
Reviewed by the CertShield Editorial Team. Questions are independent and not official IAPP exam content.
How to Use This Free AIGP Question Bank
Answer before expandingChoose the most defensible response before opening the explanation. Several options may sound useful; look for the best governance action.
Review the public BoKUse the domain label to return to the current official IAPP Body of Knowledge and study the connected performance indicators.
Explain rejected optionsFor each distractor, identify the missing control, incorrect sequence or governance weakness.
Do not treat 4/4 as readinessThis short set samples reasoning only. It cannot predict an official exam result or replace full-scope study.
0 of 4 answers reviewed
Domain I - Foundations of AI governance
Question 1: Establishing accountability
A multinational company discovers that business teams are acquiring generative AI tools independently. There is no central inventory, risk classification or assigned owner. What should the AI governance lead prioritize first?
Ban every AI tool until all global AI laws become identical.
Create an AI system inventory, define accountable roles and an intake/risk-tiering process, then apply controls based on use context.
Allow each vendor to determine which company policies apply to its product.
Focus only on model accuracy because governance roles can be assigned after deployment.
Show answer and explanation
Correct answer: B.
An inventory creates visibility, accountable roles make decisions ownable, and risk-based intake helps the organization scale controls to actual use. A blanket ban avoids rather than establishes governance; vendors cannot own the deploying organization's full accountability; and accuracy alone ignores legal, privacy, security, fairness and operational risks.
Learning focus: governance roles, policies, cross-functional accountability and risk-based program design.
Domain II - Laws, standards and frameworks
Question 2: Applying privacy requirements to AI
A customer-support team wants to send historic chat transcripts containing personal data to an external AI service for fine-tuning. Which governance response is most appropriate before the transfer?
Proceed because historic customer messages are no longer actively used.
Replace names with customer IDs and assume all privacy and security obligations are satisfied.
Assess lawful purpose and compatibility, minimization, sensitive data, processor/vendor terms, security, retention, cross-border transfers and affected-person rights before approving the use.
Ask the AI vendor to decide whether the company's original customer notice permits fine-tuning.
Show answer and explanation
Correct answer: C.
AI use does not remove existing privacy obligations. The organization must evaluate purpose, legal basis or other applicable authorization, data minimization, sensitive information, vendor processing, security, transfers, retention and rights. Pseudonymization can reduce risk but does not automatically eliminate obligations, and accountability cannot be outsourced to the vendor.
Learning focus: existing privacy law applied to AI, third-party processing and responsible data use.
Continue with 222 original AIGP questions
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Domain III - Governing AI development
Question 3: Training-data provenance
During model development, a team proposes adding a large web-scraped dataset. The team cannot document its sources, collection permissions or representativeness. What is the best governance decision?
Use it because a larger dataset always improves fairness and reliability.
Use it for training but omit it from model documentation to avoid confusion.
Pause its use until provenance, rights, quality, suitability and bias risks are assessed and documented; reject or remediate the dataset if requirements cannot be met.
Approve it if the model developer promises to monitor accuracy after launch.
Show answer and explanation
Correct answer: C.
Governance during development requires evidence that training data is lawful, fit for purpose, sufficiently representative and documented. Post-deployment monitoring is important, but it does not replace pre-development data due diligence. More data can introduce more bias, quality issues, intellectual-property risk or privacy harm.
Learning focus: data governance, lineage/provenance, training and testing risk, and development documentation.
Domain IV - Governing AI deployment and use
Question 4: Responding to model drift
After deployment, an AI fraud-detection system begins flagging a much higher proportion of transactions from one customer group. The change coincides with a data-distribution shift. What should the governance team do?
Increase the decision threshold for every customer without investigating the affected group.
Continue operation unchanged until a regulator or customer files a complaint.
Trigger the documented issue-response process: assess impact and root cause, apply safeguards or pause affected use, involve accountable stakeholders, document decisions, remediate and verify monitoring before normal operation.
Delete monitoring records so the system can be evaluated from a clean baseline.
Show answer and explanation
Correct answer: C.
Drift with unequal impact is a governance event, not just a tuning issue. A controlled response should assess affected people and obligations, identify root cause, reduce ongoing harm, involve responsible owners, document decisions and verify remediation. Waiting prolongs risk; a universal threshold change may hide the cause; destroying records undermines accountability.
If any answer was uncertain, open the corresponding official BoK domain and study the performance indicators behind it. When you can explain why each rejected option is weaker, move to a longer timed practice set.
Are these free AIGP questions copied from the real exam?
No. All four questions are independently written learning scenarios based on public AI governance concepts. They are not copied, recalled, leaked or live IAPP exam items.
Which AIGP blueprint version do these sample questions use?
The questions are organized around the four domains in the public IAPP AIGP Body of Knowledge version 2.1, effective 2 February 2026.
How many free AIGP sample questions are on this page?
This page provides four free questions with answers and explanations, one for each public AIGP BoK v2.1 domain, with no sign-up required.
Ready for a Full AIGP Mock Exam?
Use AI_FOR_ALL26 while the published community allocation remains. The direct link opens the exact CertShield AIGP practice course and includes the code automatically.
Date window: through August 3, 2026 at 12:01 AM PDT (07:01 UTC); the 100-redemption course cap can be reached earlier.