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Artificial Intelligence Governance Professional

Last Update Jun 11, 2024
Total Questions : 100

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Artificial Intelligence Governance Professional Questions and Answers

Questions 1

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?

Options:

A.

Output data, assess the delta between the prediction and actual ad clicks.

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.

GPU performance, to evaluate the tool's robustness.

Questions 2

You are a privacy program manager at a large e-commerce company that uses an Al tool to deliver personalized product recommendations based on visitors' personal information that has been collected from the company website, the chatbot and public data the company has scraped from social media.

A user submits a data access request under an applicable U.S. state privacy law, specifically seeking a copy of their personal data, including information used to create their profile for product recommendations.

What is the most challenging aspect of managing this request?

Options:

A.

Some of the visitor's data is synthetic data that the company does not have to provide to the data subject.

B.

The data subject's data is structured data that can be searched, compiled and reviewed only by an automated tool.

C.

The data subject is not entitled to receive a copy of their data because some of it was scraped from public sources.

D.

Some of the data subject's data is unstructured data and you cannot untangle it from the other data, including information about other individuals.

Questions 3

You are part of your organization’s ML engineering team and notice that the accuracy of a model that was recently deployed into production is deteriorating.

What is the best first step address this?

Options:

A.

Replace the model with a previous version.

B.

Conduct champion/challenger testing.

C.

Perform an audit of the model.

D.

Run red-teaming exercises.