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Question 1

Which of the following BEST reduces the risk of exposing sensitive data through the output of large language models (LLMs) in applications?

Options :

A : Encrypting data in transit and at rest

B : Conducting adversarial testing

C : Implementing data sanitization techniques

D : Enforcing least privilege access

Answer: C

Question 2

An organization utilizes AI-enabled mapping software to plan routes for delivery drivers. A driver following the AI route drives the wrong way down a one-way street, despite numerous signs. Which of the following biases does this scenario demonstrate?

Options :

A : Selection

B : Reporting

C : Confirmation

D : Automation

Answer: D

Question 3

Which of the following information is MOST important to include in a centralized AI inventory?

Options :

A : Ownership and accountability of AI systems

B : AI model use cases

C : Training data sets

D : Foundation model and package registry

Answer: A

Question 4

An organization is facing a deepfake attack intended to manipulate stock prices. The organization’s crisis communication plan has been activated. Which of the following is MOST important to include in the initial response?

Options :

A : Conduct employee awareness training on recognizing deepfake videos and audio

B : Provide clarifying information in a pre-approved public statement

C : Conduct a detailed forensic analysis to identify the source of the deepfake

D : Engage with brand monitoring services to track social media activity

Answer: B

Question 5

Which of the following is MOST important for an organization to consider when implementing a preventive security safeguard into a new AI product?

Options :

A : Input sanitization

B : Model output monitoring

C : Penetration testing

D : Differential privacy

Answer: A