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| Certification Vendor: | IAPP (International Association of Privacy Professionals) |
|---|---|
| Exam Name: | IAPP Certified Artificial Intelligence Governance Professional Exam |
| Exam Number: | AIGP |
| Exam Duration: | 165 (including 15-minute optional break) |
| Passing Score: | 300 (scaled score out of 500) |
| Certificate Validity Period: | 2 years |
| Exam Price: | USD 649 (members) / USD 799 (non-members) |
| Related Certifications: | CIPT CIPP CIPM |
| Available Languages: | English |
| Exam Format: | Multiple-choice, Scenario-based |
| Real Exam Qty: | 100 |
| Recommended Training: | Official AIGP Body of Knowledge & Study Guide IAPP Training & Resources |
| Exam Registration: | Pearson VUE Scheduling IAPP Official Registration |
| Sample Questions: | IAPP AIGP Sample Questions |
| Exam Way: | Online remote proctored or in-person at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites; open to all professionals |
| Official Syllabus URL: | https://iapp.org/certify/aigp |
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NEW QUESTION # 179
Your organization is searching for a new way to help accurately forecast sales predictions by various types of customers.
Which of the following is the best type of model to choose if your organization wants to customize the model and avoid lock-in?
Answer: A
Explanation:
Forcustomizable, interpretable modelsthat allow organizations toretain control and avoid vendor lock-in,classic ML models(e.g., regression, decision trees, random forests) are optimal.
From theAI Governance in Practice Report 2025:
"Organizations seeking transparency, customizability, and control often prefer classic ML models due to their flexibility and ease of governance." (p. 33) AandCmay have limited transparency and are often tied to specific providers.
Dinvolves ongoing costs and limited model control.
NEW QUESTION # 180
CASE STUDY
Please use the following answer the next question:
XYZ Corp., a premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent. The new talent will help the company's product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.
It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.
Address these concerns, the company is considering using a third-party Al tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.
The organization has a large procurement team that is responsible for the contracting of technology solutions.
One of the procurement team's goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company are responsible for integrating and deploying technology solutions into the organization's operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by Al hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the Al hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
The frameworks that would be most appropriate for XYZ's governance needs would be the NIST Al Risk Management Framework and?
Answer: B
Explanation:
The IEEE Ethical System Design Risk Management Framework (IEEE 7000-21) would be most appropriate for XYZ Corp's governance needs in addition to the NIST AI Risk Management Framework. The IEEE framework specifically addresses ethical concerns during system design, which is crucial for ensuring the responsible use of AI in hiring. It complements the NIST framework by focusing on ethical risk management, aligning well with XYZ Corp's goals of deploying AI responsibly and mitigating associated risks.
NEW QUESTION # 181
CASE STUDY
A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The AI system analyzes how users type on their laptops, including typing speed, rhythm and pressure, to create a unique user profile. This data is then used to authenticate users and ensure that only authorized personnel can access sensitive resources.
The data processed by the AI system would be classified as:
Answer: A
Explanation:
The correct answer isD.Keystroke dynamics, used to identify individuals, fallunder biometricdata, which isa specialcategory of personaldata underthe GDPR and other frameworks.
From the AI Governance in Practice Report2025:
"Keystroke dynamics may constitute biometric data if used to uniquely identify an individual... Biometric data is classified as special category personal data and requires higher protection standards." Also reflected in ILT Participant Guide:
"Biometric data, such as facial images, voiceprints, iris scans or keystroke patterns, are treated as special category data when they are used for the purpose of uniquely identifying individuals."
NEW QUESTION # 182
Which of the following is the least relevant consideration in assessing whether users should be given the right to opt out from an Al system?
Answer: A
Explanation:
When assessing whether users should be given the right to opt out from an AI system, the primary considerations are feasibility, risk to users, and industry practice. Feasibility addresses whether the opt-out mechanism can be practically implemented. Risk to users assesses the potential harm or benefits users might face if they cannot opt out. Industry practice considers the norms and standards within the industry. However, the cost of alternative mechanisms, while important in the broader context of implementation, is not directly relevant to the ethical consideration of whether users should have the right to opt out. The focus should be on protecting user rights and ensuring ethical AI practices.
NEW QUESTION # 183
What is the primary objective of continuous monitoring in the lifecycle of an AI tool?
Answer: D
Explanation:
The correct answer is B because continuous monitoring is a core component of AI governance that ensures systems remain effective, reliable, and aligned with their intended objectives over time. AI systems can degrade due to data drift, model drift, or changing real-world conditions, making ongoing performance tracking essential. Monitoring allows organizations to detect anomalies, biases, or performance issues and take corrective actions such as retraining or recalibration. Governance frameworks emphasize post-deployment oversight to ensure systems continue to operate safely and within acceptable risk thresholds. Option A incorrectly suggests fully autonomous evolution without oversight, which contradicts governance principles. Options C and D address specific operational concerns but do not capture the primary purpose of continuous monitoring, which is maintaining performance, accountability, and alignment with defined goals.
NEW QUESTION # 184
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