Pass Guaranteed Quiz 2025 Authoritative AIGP: IAPP Certified Artificial Intelligence Governance Professional Relevant Exam Dumps

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q120-Q125):

NEW QUESTION # 120
A company developed Al technology that can analyze text, video, images and sound to tag content, including the names of animals, humans and objects.
What type of Al is this technology classified as?

A. Deductive inference.
B. Multi-modal model.
C. Transformative Al.
D. Expert system.

Answer: B

Explanation:
A multi-modal model is an AI system that can process and analyze multiple types of data, such as text, video, images, and sound. This type of AI integrates different data sources to enhance its understanding and decision-making capabilities. In the given scenario, the AI technology that tags content including names of animals, humans, and objects falls under this category. Reference: AIGP BODY OF KNOWLEDGE, which outlines the capabilities and use cases of multi-modal models.

NEW QUESTION # 121
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 general description 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 prioritization of the risks of deployment of the AI system.
D. A description of the appropriateness of the performance metrics for the specific AI system.

Answer: C

Explanation:
The EU AI Act outlines what must be included intechnical documentationfor high-risk systems. These requirements are designed to supportconformity assessment, transparency, and traceability.
From theAI Governance in Practice Report 2024:
"It mandates drawing up technical documentation... must include a general description of the AI system, the intended purpose, and a detailed description of the elements and development process." (p. 34)
"Documentation... includes training, testing, evaluation procedures, andappropriateness of performance metrics." (p. 34-35) Therisk management systemis addressed separately through arisk management plan, not within the technical documentation itself.
Thus:
* A, C, and Dare explicitly required in thetechnical documentation.
* B, while important, is part of therisk management process, not a required section oftechnical documentation.

NEW QUESTION # 122
During the planning and design phases of the Al development life cycle, bias can be reduced by all of the following EXCEPT?

A. Feature selection.
B. Data collection.
C. Human oversight.
D. Stakeholder involvement.

Answer: A

Explanation:
Bias in AI can be reduced during the planning and design phases through stakeholder involvement, human oversight, and careful data collection. While feature selection is critical in the development phase, it does not specifically occur during planning and design. Ensuring diverse stakeholder involvement and human oversight helps identify and mitigate potential biases early, and data collection ensures a representative dataset. Reference: AIGP Body of Knowledge on AI Development Lifecycle and Bias Mitigation.

NEW QUESTION # 123
What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?

A. The number of transistors on GPUs doubles every two years, making thechips smaller and lighter.
B. GPUs run many tasks concurrently, resulting in faster processing.
C. GPUs can access memory quickly, resulting in lower latency than CPUs.
D. GPUs can run every task on a computer, making them more robust than CPUs.

Answer: B

Explanation:
GPUs (Graphical Processing Units) are well-suited to running AI applications due to their ability to run many tasks concurrently, which significantly enhances processing speed. This parallel processing capability makes GPUs ideal for handling the large-scale computations required in AI and deep learning tasks. Reference: AIGP BODY OF KNOWLEDGE, which explains the importance of compute infrastructure in AI applications.

NEW QUESTION # 124
The best method to ensure a comprehensive identification of risks for a new AI model is?

A. Red teaming.
B. An environmental scan.
C. Integration testing.
D. An impact assessment.

Answer: D

Explanation:
The most comprehensive way to identify a full range of risks - legal, ethical, operational, and societal - for a new AI model is through aformal impact assessment, such as aData Protection Impact Assessment (DPIA)orAlgorithmic Impact Assessment.
From theAI Governance in Practice Report 2024:
"Risk-based approaches are often distilled into organizational risk management efforts, which put impact assessments at the heart of deciding whether harm can be reduced." (p. 29)
"DPIAs... help organizations identify, analyze and minimize data-related risks and demonstrate accountability." (p. 30)
* A. Environmental scanis too general.
* B. Red teamingis useful for adversarial risk but not broad.
* C. Integration testingfocuses on technical/system compatibility, not overall risk.

NEW QUESTION # 125
......

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q120-Q125):

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