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Artificial Intelligence Governance Professional

Last Update Oct 9, 2026
Total Questions : 215 With Comprehensive Analysis

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Last Update Oct 9, 2026
Total Questions : 215 With Comprehensive Analysis

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Artificial Intelligence Governance Professional Questions and Answers

Questions 1

Scenario:

An enterprise is evaluating multiple third-party generative AI tools to integrate into its platform. As part of its AI governance policy, it is assessing themost effective methodsto reduce risks related to bias, data misuse, and liability when using third-party solutions.

All of the following are commonly adopted processes and policies in reducing potential risks introduced by third-party AI tools or applications EXCEPT:

Options:

A.

Including clauses in the procurement agreement for buyers of generative AI tools to put certain liabilities on the tool supplier

B.

Allowing publicly available information and personally identifiable information (PII) to be incorporated into the prompt

C.

Requiring an independent third-party bias audit for third-party generative AI tools

D.

Requiring new use cases of the generative AI tools or applications to be reviewed and approved by the generative AI governance body

Questions 2

All of the following are common optimization techniques in deep learning to determine weights that represent the strength of the connection between artificial neurons EXCEPT?

Options:

A.

Gradient descent, which initially sets weights arbitrary values, and then at each step changes them.

B.

Momentum, which improves the convergence speed and stability of neural network training.

C.

Autoregression, which analyzes and makes predictions about time-series data.

D.

Backpropagation, which starts from the last layer working backwards.

Questions 3

All of the following issues are unique for proprietary AI model deployments EXCEPT?

Options:

A.

The acquisition of training data.

B.

The cost of AI chips.

C.

The potential for bias.

D.

The necessity of performing conformity assessments.

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