Introduction of IAPP AIGP Exam!

The IAPP AIGP exam is part of the Artificial Intelligence Governance Professional certification. It validates the knowledge and skills described in the Artificial Intelligence Governance Professional syllabus published by IAPP. Candidates prepare for this exam to prove their competency and advance their careers.

What is the Number of Questions Asked in IAPP AIGP Exam?

The number of questions on the IAPP AIGP exam is defined by IAPP in the official exam guide. The Study4Pass practice test for this exam contains 222 practice questions with answers and explanations.

What is the Passing Score for IAPP AIGP Exam?

The passing score for the IAPP AIGP exam is set by IAPP and published in the official exam guide for the Artificial Intelligence Governance Professional certification.

What is the Competency Level required for IAPP AIGP Exam?

The IAPP AIGP exam is an advanced level exam. It is designed for candidates who have the knowledge and practical understanding expected at the professional level of the IAPP certification program.

What is the Question Format of IAPP AIGP Exam?

The IAPP AIGP exam typically includes multiple choice and multiple response questions based on the topics in the official syllabus.

How Can You Take IAPP AIGP Exam?

You can register for the IAPP AIGP exam through the IAPP certification website and take it at an authorized testing center or, where IAPP offers it, as an online proctored exam.

What Language IAPP AIGP Exam is Offered?

The IAPP AIGP exam is offered in English. IAPP may offer additional languages for this exam; the available languages are listed on the official exam page.

What is the Cost of IAPP AIGP Exam?

The cost of the IAPP AIGP exam is set by IAPP and can vary by region. The current exam fee is published on the official IAPP certification page for the Artificial Intelligence Governance Professional certification.

What is the Average Salary of IAPP AIGP Certified in the Market?

Salaries for IAPP AIGP certified professionals vary by role, experience, and region. Certified professionals generally earn competitive salaries in roles related to Artificial Intelligence Governance Professional.

Who are the Testing Providers of IAPP AIGP Exam?

The testing provider of the IAPP AIGP exam is Pearson VUE, which delivers the exam on behalf of IAPP.

What is the Recommended Experience for IAPP AIGP Exam?

For the IAPP AIGP exam, at least 2 years of hands-on experience in the field is recommended. Candidates should also review the official syllabus and practice with sample questions before scheduling the exam.

What are the Prerequisites of IAPP AIGP Exam?

The prerequisites of the IAPP AIGP exam, if any, are defined by IAPP in the official exam guide. Candidates should confirm the current requirements on the official certification page.

What is the Expected Retirement Date of IAPP AIGP Exam?

No retirement date for the IAPP AIGP exam has been announced by IAPP; any retirement would be published on the official IAPP certification pages.

What is the Difficulty Level of IAPP AIGP Exam?

The difficulty level of the IAPP AIGP exam is considered to be moderate to difficult. It is recommended to have a good understanding of the topics covered in the official syllabus.

What is the Roadmap / Track of IAPP AIGP Exam?

The IAPP AIGP exam belongs to the Artificial Intelligence Governance Professional track in the IAPP certification program. Candidates can use it to progress within the IAPP certification roadmap.

What are the Sample Questions of IAPP AIGP Exam?

You can try sample questions of the IAPP AIGP exam for free on Study4Pass. The free practice test on this page includes sample questions with answers and explanations from the full set of 222 practice questions.

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Free AIGP – Iapp AIGP Practice Test Question

Q: What is the Duration of IAPP AIGP Exam?

The duration of the IAPP AIGP exam is defined by IAPP in the official exam guide for the Artificial Intelligence Governance Professional certification. Candidates should confirm the current duration on the official exam page before scheduling.

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Showing 1–17 of 17 questions

Question 1 (Topic 1)

Which of the following AI uses is best described as human-centric?

Select an option, then click Submit answer.

○ Pattern recognition algorithms are used to improve the accuracy of weather predictions, which benefits many industries and everyday life.
○ Autonomous robots are used to move products within a warehouse, allowing human workers to reduce physical strain and alleviate monotony.
○ Machine learning is used for demand forecasting and inventory management, ensuring that consumers can find products they want when they want them.
○ Virtual assistants are used to adapt educational content and teaching methods to individuals, offering personalized recommendations based on ability and needs.

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Question 2 (Topic 1)

A company subject to GDPR is building its governance framework for how it will collect data to be used for training of AI models. The most important thing the company can do to ensure GDPR compliance is:

Select an option, then click Submit answer.

○ Include the requirement to fully anonymize data used to train its models.
○ Establish a data retention schedule for data used to train its models.
○ Source training data from a reputable company to train its models.
○ Minimize the amount of data used to train its models.

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Reference / correct answer:

Minimize the amount of data used to train its models.

Most accepted answer: D. Minimize the amount of data used to train its models.

Community votes: A=2, D=2

Selected Answer: D . This directly reflects GDPR’s data minimization principle and is the strongest governance control among the options. upvoted 1 times

Selected Answer: A Under GDPR Recital 26, the principles of data protection do not apply to anonymous information (data rendered anonymous in such a manner that the data subject is no longer identifiable). By fully and irreversibly anonymizing the data before it is used for training, the company removes that data from the scope of the GDPR entirely. This eliminates complex compliance issues related to data subject rights (like the right to erasure/be forgotten) which are notoriously difficult, if not impossible, to execute once personal data is baked into the weights and parameters of an AI model upvoted 1 times

Selected Answer: A I actually think you need data to train the AI you cannot get around it by using minimal data u actually might have incorrect outcomes and bias! I think it should anaonymize data to train the model upvoted 1 times

Selected Answer: D D is the right answer. It doesn’t matter what reputation of a third party data provider is. One of the guiding principles of GDPR is data minimization. upvoted 2 times

Question 3 (Topic 1)

In the machine learning context, feature engineering is the process of:

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○ Converting raw data into clean data.
○ Creating learning schema for a model to apply.
○ Developing guidelines to train and test a model.
○ Extracting attributes and variables from raw data.

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Question 4 (Topic 1)

Which of the following considerations is the most important in mitigating the potential of bias in training and testing data?

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○ Using privacy-enhancing tools to protect the data.
○ Validating that the data is representative.
○ Receiving explicit consent to use the data.
○ Assessing the sufficiency of the third-party data.

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Question 5 (Topic 1)

CASE STUDY - Please use the following to answer the next question: A local police department in the United States procured an AI system to monitor and analyze social media feeds, online marketplaces and other sources of public information to detect evidence of illegal activities (e.g., sale of drugs or stolen goods). The AI system works by surveying the public sites in order to identify individuals that are likely to have committed a crime. It cross-references the individuals against data maintained by law enforcement and then assigns a percentage score of the likelihood of criminal activity based on certain factors like previous criminal history, location, time, race and gender. The police department retained a third-party consultant to assist in the procurement process, specifically to evaluate two finalists. Each of the vendors provided information about their system’s accuracy rates, the diversity of their training data and how their system works. The consultant determined that the first vendor’s system has a higher accuracy rate and based on this information, recommended this vendor to the police department. The police department chose the first vendor and implemented its AI system. As part of the implementation, the department and consultant created a usage policy for the system, which includes training police officers on how the system works and how to incorporate it into their investigation process. The police department has now been using the AI system for a year. An internal review has found that every time the system scored a likelihood of criminal activity at or above 90%, the police investigation subsequently confirmed that the individual had, in fact, committed a crime. Based on these results, the police department wants to forego investigations for cases where the AI system gives a score of at least 90% and proceed directly with an arrest. During the procurement process, what is the most likely reason that the third-party consultant asked each vendor for information about the diversity of their datasets?

Select an option, then click Submit answer.

○ To comply with applicable law.
○ To assess the fairness of the AI system.
○ To evaluate the reliability of the AI system.
○ To determine the explainability of the AI system.

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Question 6 (Topic 1)

Retraining an LLM can be necessary for all of the following reasons EXCEPT:

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○ To minimize degradation in prediction accuracy due to changes in data.
○ To adjust the model’s hyperparameters to a specific use case.
○ To account for new interpretations of the same data.
○ To ensure interpretability of the model’s predictions.

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Question 7 (Topic 1)

CASE STUDY - Please use the following to answer the next question: Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative AI to create the enrichment courses, and that many of the students are using generative AI to complete their assignments. In particular, GVC has learned that the teachers they employ used open source large language models (“LLM”) to develop an online tool that customizes study questions for individual students. GVC has also discovered that an art teacher has expressly incorporated the use of generative AI into the curriculum to enable students to use prompts to create digital art. GVC has started to investigate these practices and develop a process to monitor any use of generative AI, including by teachers and students, going forward. What is the best reason for GVC to offer students the choice to utilize generative AI in limited, defined circumstances?

Select an option, then click Submit answer.

○ To enable students to learn how to manage their time.
○ To enable students to learn about performing research.
○ To enable students to learn about practical applications of AI.
○ To enable students to learn how to use AI as a supportive educational tool.

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Question 8 (Topic 1)

Which of the following is an example of a high-risk application under the EU AI Act?

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○ A resume scanning tool that ranks applicants.
○ An AI-enabled inventory management tool.
○ A government-run social scoring tool.
○ A customer service chatbot tool.

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Reference / correct answer:

A government-run social scoring tool.

Most accepted answer: C. A government-run social scoring tool.

Community votes: A=1, C=1

Selected Answer: C Under the EU AI Act, high‑risk systems include those that can significantly affect people’s rights, access to services, or life opportunities. A government‑run social scoring tool is explicitly listed as unacceptable or high‑risk, because it: evaluates individuals’ behaviour or characteristics affects access to public services or benefits creates systemic discrimination risks has severe societal impact This is the clearest example of a high‑risk application. upvoted 1 times

Selected Answer: A Correct answer should be A: A resume scanning tool that ranks applicants. Source:EU AI Act, Annex III: High-Risk AI Systems Referred to in Article 6(2) -https://artificialintelligenceact.eu/annex/3/ 4. Employment, workers management and access to self-employment: (a) AI systems intended to be used for the recruitment or selection of natural persons, in particular to place targeted job advertisements, to analyze and filter job applications, and to evaluate candidates. Answer C: A government-run social scoring tool - This is an example of a PROHIBITED AI PRACTICE Source: https://artificialintelligenceact.eu/article/5/ 1. The following AI practices shall be prohibited: (c)(...) use of AI systems for the evaluation or classification of natural persons or groups of persons over a certain period of time based on their social behaviour or known, inferred or predicted personal or personality characteristics, with the social score (...). Also: Recital 31: https://artificialintelligenceact.eu/recital/31/ (...) such unacceptable scoring practices and leading to such detrimental or unfavourable outcomes should therefore be prohibited. upvoted 3 times

Question 9 (Topic 1)

The planning phase of the AI life cycle articulates all of the following EXCEPT the:

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○ Objective of the model.
○ Approach to governance.
○ Choice of the architecture.
○ Context in which the model will operate.

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Question 10 (Topic 1)

What is the term for an algorithm that focuses on making the best choice to achieve an immediate objective at a particular step or decision point, based on the available information and without regard for the longer-term best solutions?

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○ Single-lane.
○ Optimized.
○ Efficient.
○ Greedy.

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Question 11 (Topic 1)

CASE STUDY - Please use the following to answer the next question: A mid-size US healthcare network has decided to develop an AI solution to detect a type of cancer that is most likely to arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records to a radiologist for secondary review pursuant to agreed-upon criteria (e.g., a confidence score below a threshold). To date, the healthcare network has: Defined its AI ethical principles. Conducted discovery to identify the intended uses and success criteria for the system. Established an AI risk committee. Assembled a cross-functional team with clear roles and responsibilities. Created policies and procedures to document standards, workflows, timelines and risk thresholds during the project. The healthcare network intends to retain a cloud provider to host the solution. It also intends to retain a large consulting firm to supplement its small data science team and help develop the algorithm using the healthcare network’s existing data and de-identified data that is licensed from a large US clinical research partner. In the design phase, which of the following steps is most important in gathering the data from the clinical research partner?

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○ Perform a privacy impact assessment.
○ Combine only anonymized data.
○ Segregate the data sets.
○ Review the terms of use.

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Question 12 (Topic 1)

The best method to ensure a comprehensive identification of risks for a new AI model is:

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○ An environmental scan.
○ Red teaming.
○ Integration testing.
○ An impact assessment.

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Question 13 (Topic 1)

The main purpose of NIST’s Assessing Risks and Impacts of AI (ARIA) program is to:

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○ Provide a suite of resources to manage risks.
○ Pilot new standards for AI red-teaming.
○ Promote interoperability across AI systems.
○ Offer a regulatory sandbox for risk reporting.

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Question 14 (Topic 1)

Which of the following compliance related controls within an organization is most easily adapted to identify AI risks?

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○ Privacy training.
○ Penetration testing.
○ Transfer risk assessments.
○ Privacy impact assessments.

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Question 15 (Topic 1)

A US-based mortgage lender has purchased a chatbot. They plan to have the chatbot collect information from consumers who are interested in loans and offer the consumers 2-3 different options based on its current pricing and product offerings, which change frequently. This chatbot was initially developed and previously deployed by a Russian airline for booking flights. The best option for the part of the process that generates the loan offers is:

Select an option, then click Submit answer.

○ Retrieval-Augmented Generation.
○ Multimodal Generative AI.
○ Expert System.
○ Quantum computing.

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Question 16 (Topic 1)

In procuring an AI system from a vendor, which of the following would be important to include in a contract to enable proper oversight and auditing of the system?

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○ Liability for mistakes.
○ Ownership of data and outputs.
○ Responsibility for improvements.
○ Appropriate access to data and models.

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Question 17 (Topic 1)

A bank is aiming to comply with ISO/IEC 42005:2025, and is studying how to adopt the standard in light of a new AI customer service system that it would like to implement. In addition to the risk management process the bank already has in place to assess the risks of any potential new systems, which of the following actions is the most effective in adopting the ISO/IEC 42005:2025 standard?

Select an option, then click Submit answer.

○ Collecting information on the AI system’s performance to document additional AI risks.
○ Adding AI risks to the risk register and continuing to leverage the existing risk management process.
○ Defining a standalone AI impact assessment procedure to supplement the existing risk management process.
○ Instructing AI developers to perform an AI impact assessment before development in addition to the existing risk management process.

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About the AIGP Free Practice Test

This free practice test covers the Artificial Intelligence Governance Professional (AIGP) exam from IAPP. The 17 questions come free from the full 222-question Study4Pass practice set — a quick, honest check of where you stand. The free sample is made up of 17 single-answer questions, each with a full explanation. The IAPP AIGP exam is part of the Artificial Intelligence Governance Professional certification.

The target audience of the IAPP AIGP exam is professionals who want to validate their skills in Artificial Intelligence Governance Professional and demonstrate their competency to employers. The prerequisites of the IAPP AIGP exam, if any, are defined by IAPP in the official exam guide.

Certification: Artificial Intelligence Governance Professional (AIGP)
Vendor: IAPP
Free on this page: 17 practice questions with answers and explanations
Full practice set: 222 questions

Work through the questions one at a time and read every explanation, even for the ones you get right — the reasoning behind an answer is what the real exam tests. If one area keeps costing you marks, you have found exactly what to revise before exam day.

Think of the result as a map, not a verdict. The questions you miss point straight at the topics that need work, and the explanations tell you why the correct option wins. Candidates who loop through that cycle — practise, review the reasoning, re-test — walk into the real exam having already seen their weak spots and fixed them.

Inside the full AIGP practice set:

All 222 questions with answers and explanations
Timed Exam Simulation that mirrors the real exam pressure
Topic Training to drill one domain at a time
Ask AI for More Explanation on every question
Flag questions and review them before you finish

How to use this AIGP free practice test

There is no clock and no account needed. Answer each question, check the result, and read the explanation before moving on. For anything that still feels unclear, Ask AI is built into this AI-Enabled practice test — it explains the concept behind the question so the next one like it gets easier. Ready for more? The full 222-question set adds a timed Exam Simulation mode, topic training for your weak areas, and a flagged-question review, so you can practise the way the real exam feels.

What to study for each AIGP domain

The AIGP practice set is built to mirror the full Artificial Intelligence Governance Professional syllabus, so every major area of the real exam is represented in the questions. The IAPP AIGP exam is part of the Artificial Intelligence Governance Professional certification. The most reliable study method with a set like this is simple: practise a section, read the explanations, then go back to the official IAPP documentation for any topic you missed, and repeat until the explanations feel obvious.

AIGP practice test — quick questions

Is this AIGP practice test free?

Yes — the 17 questions on this page are completely free, with no signup and no payment details needed.

How many questions are in the full AIGP set?

222 questions. The 17 free questions above are a sample of that full set, in the same style and topic balance.

Does the free test show the answers?

Yes — every question shows the correct answer with an explanation, and Ask AI can explain the concept behind a question in plain words if you want to go deeper.