AIGP PDF Questions [2025]-Right Preparation Material

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IAPP AIGP Exam Syllabus Topics:

Topic	Details
Topic 1	Implementing Responsible AI Governance and Risk Management: It explains the collaboration of major AI stakeholders in a layered approach.
Topic 2	Understanding AI Impacts and Responsible AI Principles: This topic identifies different risks that that ungoverned AI systems. The topic also describes features and principles that are essential for trustworthy and ethical AI.
Topic 3	Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.
Topic 4	Contemplating Ongoing Issues and Concerns: The topic focuses on issues around AI governance.
Topic 5	Understanding the Foundations of Artificial Intelligence: This topic defines AI and machine learning. It also provides an overview of the different types of AI systems and their use cases.

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The AIGP web-based practice test can accessed online. It means the exam candidates can access it from the browsers like Firefox, Microsoft Edge, Google Chrome, and Safari. The user don't need to install or download any excessive plugins to take the IAPP Certified Artificial Intelligence Governance Professional (AIGP) practice test. Mac, Windows, iOS, Android, and Linux support it. The third and last format is the desktop practice test software. The IAPP Certified Artificial Intelligence Governance Professional (AIGP) desktop practice test format can be used on Windows computers.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q141-Q146):

NEW QUESTION # 141
You are an engineer that developed an Al-based ad recommendation tool.
Which of the following should be monitored to evaluate the tool's effectiveness?

A. GPU performance, to evaluate the tool's robustness.
B. Algorithmic patterns, to show the model has a high degree of accuracy.
C. Input data, to ensure the ads are reaching the target audience.
D. Output data, assess the delta between the prediction and actual ad clicks.

Answer: D

Explanation:
To evaluate the effectiveness of an AI-based ad recommendation tool, the most relevant metric is the output data, specifically assessing the delta between the prediction and actual ad clicks. This metric directly measures the tool's accuracy and effectiveness in making accurate recommendations that lead to user engagement. While monitoring algorithmic patterns and input data can provide insights into the model's behavior and targeting accuracy, and GPU performance can indicate the robustness and efficiency of the tool, the primary indicator of effectiveness for an ad recommendation tool is how well it predicts actual ad clicks.
Reference: AIGP BODY OF KNOWLEDGE, sections on AI performance metrics and evaluation methods.

NEW QUESTION # 142
After completing model testing and validation, which of the following is the most important step that an organization takes prior to deploying the model into production?

A. Define a model-validation methodology.
B. Document maintenance teams and processes.
C. Identify known edge cases to monitor post-deployment.
D. Perform a readiness assessment.

Answer: D

Explanation:
After completing model testing and validation, the most important step prior to deploying the model into production is to perform a readiness assessment. This assessment ensures that the model is fully prepared for deployment, addressing any potential issues related to infrastructure, performance, security, and compliance. It verifies that the model meets all necessary criteria for a successful launch. Other steps, such as defining a model-validation methodology, documenting maintenance teams and processes, and identifying known edge cases, are also important but come secondary to confirming overall readiness. Reference: AIGP Body of Knowledge on Deployment Readiness.

NEW QUESTION # 143
All of the following are penalties and enforcements outlined in the EU Al Act EXCEPT?

A. Fines for SMEs and startups will be proportionally capped.
B. Rules on General Purpose Al will apply after 6 months as a specific provision.
C. The Al Pact will act as a transitional bridge until the Regulations are fully enacted.
D. Fines for violations of banned Al applications will be €35 million or 7% global annual turnover (whichever is higher).

Answer: C

Explanation:
The EU AI Act outlines specific penalties and enforcement mechanisms to ensure compliance with its regulations. Among these, fines for violations of banned AI applications can be as high as €35 million or 7% of the global annual turnover of the offending organization, whichever is higher. Proportional caps on fines are applied to SMEs and startups to ensure fairness. General Purpose AI rules are to apply after a 6-month period as a specific provision to ensure that stakeholders have adequate time to comply. However, there is no provision for an "AI Pact" acting as a transitional bridge until the regulations are fully enacted, making option C the correct answer.

NEW QUESTION # 144
What type of organizational risk is associated with Al's resource-intensive computing demands?

A. People risk.
B. Third-party risk.
C. Environmental risk.
D. Security risk.

Answer: C

Explanation:
AI's resource-intensive computing demands pose significant environmental risks. High-performance computing required for training and deploying AI models often leads to substantial energy consumption, which can result in increased carbon emissions and other environmental impacts. This is particularly relevant given the growing concern over climate change and the environmental footprint of technology. Organizations need to consider these environmental risks when developing AI systems, potentially exploring more energy-efficient methods and renewable energy sources to mitigate the environmental impact.

NEW QUESTION # 145
All of the following are included within the scope of post-deployment Al maintenance EXCEPT?

A. Ensuring that all model components are subject a control framework.
B. Dedicating experts to continually monitor the model output.
C. Evaluating the need for an audit under certain standards.
D. Defining thresholds to conduct new impact assessments.

Answer: D

Explanation:
Post-deployment AI maintenance typically includes ensuring that all model components are subject to a control framework, dedicating experts to continually monitor the model output, and evaluating the need for audits under certain standards. However, defining thresholds to conduct new impact assessments is usually part of the initial deployment and ongoing governance processes rather than a maintenance activity.
Maintenance focuses more on the operational aspects of the AI system rather than setting new thresholds for impact assessments.
Reference: AIGP BODY OF KNOWLEDGE, sections discussing AI lifecycle management and post-deployment activities.

NEW QUESTION # 146
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AIGP PDF Questions [2025]-Right Preparation Material

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