IAPP AIGP : IAPP Certified Artificial Intelligence Governance Professional

Free demo, instant email delivery, three formats, a full year of free updates, 7x24 support, and a written refund policy — Real4test covers the whole IAPP Certified Artificial Intelligence Governance Professional journey end to end. What remains is your move: start the 219 practice questions for the AIGP exam today.

IAPP AIGP Exam Overview:

Certification Vendor:	IAPP
Exam Name:	IAPP Certified Artificial Intelligence Governance Professional
Exam Number:	AIGP
Passing Score:	300
Certificate Validity Period:	2 Years
Available Languages:	English
Related Certifications:	CIPP/E CIPP/A CIPP/US CIPM CIPT
Exam Duration:	150 minutes
Exam Price:	USD 550
Exam Format:	Multiple-choice
Real Exam Qty:	100
Sample Questions:
Exam Way:	Online (OnVUE) or Test Center (Pearson VUE)
Pre Condition:	No specific prerequisites. Recommended background in privacy, compliance, legal, or technology.
Official Syllabus URL:	https://iapp.org/certify/aigp/

IAPP AIGP Exam Syllabus Topics:

Everything You Wanted to Ask About the IAPP Certified Artificial Intelligence Governance Professional Exam

Which domains make up the AIGP exam?

The IAPP Certified Artificial Intelligence Governance Professional exam spans 5 domains, and they are not weighted equally. The top areas are AI Governance Implementation, Foundations of AI Governance, AI Laws, Regulations, and Standards. Budget your study hours to match those weights; the full domain list is in the outline section further up this page.

What is the IAPP Certified Artificial Intelligence Governance Professional exam, in plain terms?

The AIGP exam is IAPP's official certification test, and passing it earns the Artificial Intelligence Governance credential at the Professional level. In career terms, it is verified proof of skill — the kind that moves you up the shortlist when your company works with IAPP technologies, or when you apply to one that does. The same track also includes CIPP/A, CIPP/E, CIPP/US, CIPM, CIPT, so this exam can anchor a longer certification plan.

What is the AIGP passing score, and how much is the exam fee?

You pass the IAPP Certified Artificial Intelligence Governance Professional exam at 300, and each attempt costs USD 550 — fail, and that fee is due again in full for the retake. Treat mock exams as insurance: keep practicing with Real4test until your scores sit comfortably above 300 twice in a row, then schedule the real AIGP exam.

Can I check your AIGP questions before buying?

Please do. Real4test offers a free demo download for the IAPP Certified Artificial Intelligence Governance Professional exam — grab it from the product page or leave your email and we will send it over. Purchases come with 365 days of free updates; after that year, extending the update service costs 50% of the original price in your member zone.

How many questions are in the AIGP exam and how long does it run?

The IAPP Certified Artificial Intelligence Governance Professional exam packs 100 questions into 150 minutes. That ratio leaves almost no room for stalling, so time management is a trained skill, not luck. Our suggestion: rehearse full-length timed sessions in the Real4test engine, learn to park a question and return later, and walk into the AIGP exam with a pacing plan already rehearsed.

What are the eligibility requirements for the AIGP exam?

No specific prerequisites. Recommended background in privacy, compliance, legal, or technology. Since IAPP revises these rules from time to time, confirm the current prerequisites on the official exam page (https://iapp.org/certify/aigp/) before booking your IAPP Certified Artificial Intelligence Governance Professional exam.

What if I fail — and how fast is delivery?

Delivery is effectively instant: your AIGP download link is emailed within one minute of payment, with no cap on how many computers you install it on. If the email has not shown up within 2 hours, check spam and contact our 7x24 support — we reply quickly and resend immediately. If you fail the IAPP Certified Artificial Intelligence Governance Professional exam itself, the refund policy applies when you took the corresponding exam within 60 days of purchase: submit a scanned enrollment slip and the official Score Report PDF within 2 days after the exam, and the refund is processed within 7 days. Not covered: attempts within 3 days of purchase, exams never actually taken, free materials, and expired orders — and the candidate name must match the payer name. Prefer material over money? Exchange for two free exam products of equal value and keep the update service on your original purchase.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions:

Question #1
CASE STUDY
Please use the following answer the next question:
A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely 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 a radiologist for secondary review pursuant agreed-upon criteria (e.g., a confidence score below a threshold).
To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and 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 and a consulting firm to 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, what is the most important step for the healthcare network to take when mapping its existing data to the clinical research partner data?

A. Ensure the data is labeled and formatted.
B. Apply privacy-enhancing technologies to the data.
C. Identify fits and gaps in the combined data.
D. Evaluate the country of origin of the data.

Question #2
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 such as 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.
Which of the following steps can best mitigate the possibility of discrimination prior to training and testing the AI solution?

A. Create a bias bounty program.
B. Procure more data from clinical research partners.
C. Perform an impact assessment.
D. Engage a third party to perform an audit.

Question #3
Scenario:
A large multinational organization is rolling out a company-wide AI governance initiative. To build awareness and support adoption, they are evaluating different ways to train employees and stakeholders across departments, including legal, technical, marketing, and customer-facing roles.
Which of the following typical approaches is a large organization least likely to use to responsibly train stakeholders on AI terminology, strategy and governance?

A. Providing training on AI ethics, based on the extent to which the organization seeks to promote a responsible AI culture
B. Providing role-specific training, based on whether the organization uses a centralized, federated or decentralized governance model
C. Providing all technical employees education on AI development so they can retool and participate in the development of AI systems
D. Providing information and education to customers and users to understand the capabilities and limitations of the AI tools with which they interact

Question #4
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
Which of the following best describes data dependency with regard to an AI model?

A. The complexity and architecture of an AI model are influenced by the characteristics of its training data.
B. Having large, high-quality datasets reduces data dependency in AI models.
C. Biases and limitations in an AI model often originate from biases and limitations present in its training data.
D. Using privacy-enhancing techniques is a core principle of data dependency in AI models.
E. An AI model's performance depends on the quality, quantity, and diversity of its training data.

Question #5
A shipping service based in the US is looking to expand its operations into the EU. It utilizes an in-house developed multimodal AI model that analyzes all personal data collected from shipping senders and recipients, and optimizes shipping routes and schedules based on this data.
As they expand into the EU, all of the following descriptions should be included in the technical documentation for their AI model EXCEPT?

A. A description of the prioritization of the risks of deployment of the AI system.
B. A detailed description of the elements of the AI system and of the process for its development.
C. A description of the appropriateness of the performance metrics for the specific AI system.
D. A general description of the AI system.

Solutions: