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

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

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 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 5

Which of the following BEST enables an organization to maintain visibility to its AI usage?

Options :

A : Ensuring the board approves the policies and standards that define corporate AI strategy

B : Maintaining a monthly dashboard that captures all AI vendors

C : Maintaining a comprehensive inventory of AI systems and business units that leverage them

D : Measuring the impact of AI implementation using key performance indicators (KPIs)

Answer: C