IAPP AIGP Exam - Topic 1 Question 43 Discussion

Actual exam question for IAPP's AIGP exam

Question #: 43
Topic #: 1

CASE STUDY

Please use the following to answer the next question:

You have recently assumed the role of AI Governance leader for a California-based medical technology company. The organization primarily serves hospitals and has recently expanded to include walk-in clinics located within local pharmacies.

The company's core business focuses on diagnostic assistance powered by a large language model LLM and back-office process optimization using Agentic AI, including chatbots, medical record request handling, scheduling and billing.

In preparation for its next round of funding, the board has asked you to prepare an AI Risk report to demonstrate to investors how the company is addressing AI-related risks. In preparing the report you learn that last year the company generated 30 million dollars in gross revenue across the US, EU, India, and South Korea and that vendors are engaged for various activities, including model testing and providing third-party AI solutions for chatbots.

Which of the following would provide you the best information addressing quality principles pertaining to the functioning of the AI agents and LLM?

AA monthly log of all input data validation checks showing:
the percentage of anomalous or missing data points that were cleaned
the average time it takes for the LLM to generate a response.

BThe aggregate count of user feedback:
flagged as Negative or Unsatisfactory over the past 30 days
categorized by language preference.

CReal-time system diagnostics tracking:
the total number of model predictions processed daily
the percentage of high-certainty predictions
a summary of code quality scores from internal software testing tools before deployment.

DMonthly statistical measures showing:
the percentages of accuracy by user group
the response category
real world change data.

Show Suggested Answer

Suggested Answer: D

The correct answer is D because it directly reflects core data and model quality principles such as accuracy, performance consistency, and real-world effectiveness across different user groups. AI governance frameworks emphasize that quality must be evaluated based on whether outputs are accurate, complete, and fit for purpose in real-world conditions. Measuring accuracy by user group also supports fairness and bias detection, which are essential components of trustworthy AI. Option D captures outcome-based performance and aligns with continuous monitoring expectations across the AI lifecycle. In contrast, options A and C focus more on operational or technical metrics, while B reflects user sentiment rather than objective quality. According to AI governance principles, high-quality AI systems require ongoing evaluation of outputs against real-world results to ensure reliability, validity, and safe deployment.

by Daron at Apr 07, 2026, 06:02 PM

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Howard

A monthly log of input data validation checks is crucial!

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Maryann

14 days ago

I studied the importance of data validation, so option A seems like it could be useful, but I wonder if it covers enough about the AI's effectiveness overall.

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Deeann

19 days ago

I feel like option D could also be relevant because it talks about accuracy and real-world changes, but I’m not confident if it’s the most comprehensive.

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Janna

24 days ago

I'm not entirely sure, but I remember something about user feedback being important. Maybe option B could provide insights into user satisfaction?

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Thea

29 days ago

I think option C might be the best choice since it includes real-time diagnostics and code quality, which are crucial for understanding AI performance.

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