AIGP PDF FREE - LATEST AIGP EXAM TESTKING

AIGP Pdf Free - Latest AIGP Exam Testking

AIGP Pdf Free - Latest AIGP Exam Testking

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IAPP AIGP Exam Syllabus Topics:

TopicDetails
Topic 1
  • Understanding the Existing and Emerging AI Laws and Standards: This topic discusses global AI-specific laws such as the EU AI Act and copyright’s Bill C-27.
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.

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IAPP AIGP Exam Dumps - Pass Your Exam In First Attempt [2025]

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q21-Q26):

NEW QUESTION # 21
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. Document maintenance teams and processes.
  • B. Identify known edge cases to monitor post-deployment.
  • C. Define a model-validation methodology.
  • 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 # 22
Which of the following best defines an "Al model"?

  • A. A system of controls that is used to govern an Al algorithm.
  • B. A program that has been trained on a set of data to find patterns within the data.
  • C. A system that applies defined rules to execute tasks.
  • D. A corpus of data which an Al algorithm analyzes to make predictions.

Answer: B

Explanation:
An AI model is best defined as a program that has been trained on a set of data to find patterns within that data. This definition captures the essence of machine learning, where the model learns from the data to make predictions or decisions. Reference: AIGP BODY OF KNOWLEDGE, which provides a detailed explanation of AI models and their training processes.


NEW QUESTION # 23
CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.
ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model ("LLM"). In particular, ABC intends to use its historical customer data-including applications, policies, and claims-and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed tA. human underwriter for final review.
ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women's loan applications due primarily to women historically receiving lower salaries than men.
Each of the following steps would support fairness testing by the compliance team during the first month in production EXCEPT?

  • A. Validating a similar level of decision-making across different demographic groups.
  • B. Providing the loan applicants with information about the model capabilities and limitations.
  • C. Identifying if additional training data should be collected for specific demographic groups.
  • D. Using tools to help understand factors that may account for differences in decision-making.

Answer: B

Explanation:
Providing the loan applicants with information about the model capabilities and limitations would not directly support fairness testing by the compliance team. Fairness testing focuses on evaluating the model's decisions for biases and ensuring equitable treatment across different demographic groups, rather than informing applicants about the model.
Reference: The AIGP Body of Knowledge outlines that fairness testing involves technical assessments such as validating decision-making consistency across demographics and using tools to understand decision factors.
While transparency to applicants is important for ethical AI use, it does not contribute directly to the technical process of fairness testing.


NEW QUESTION # 24
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:

  • A. Non-sensitive personal data, since it does not reveal information about health, gender or race
  • B. Non-personal data, as long as it is not linked to a user ID
  • C. Organizational data, since it is part of the authentication process
  • D. Special category data, if it can be used to uniquely identify a person

Answer: D

Explanation:
The correct answer is D. Keystroke dynamics, used to identify individuals, fall under biometric data, which is a special category of personal data under the GDPR and other frameworks.
From the AI Governance in Practice Report 2024:
"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 # 25
Scenario:
An organization is planning to deploy a new internal application that uses AI to make automated decisions about individuals. This application will process personal information and may affect individuals' access to certain benefits or opportunities.
Which of the following documents must be updated to ensure transparency?

  • A. The organization's acceptable use policy
  • B. The organization's website privacy notice
  • C. The user privacy notice
  • D. The organization's privacy policy

Answer: C

Explanation:
The correct answer is D. Transparency obligations under data protection laws, such as GDPR and most AI governance frameworks, require that users whose data is being processed be directly informed.
From the AIGP ILT Guide (Privacy Module):
"The user privacy notice must be updated to explain the nature of automated processing, the logic involved, and the significance and consequences for the data subject." Also, per AI Governance in Practice Report 2024 (Part III):
"Transparency obligations apply throughout the lifecycle of AI... Individuals must be informed about automated decision-making and profiling that may impact them." Unlike internal policies or general privacy notices, the user privacy notice provides direct transparency to the individual data subjects affected by AI processing.


NEW QUESTION # 26
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