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CompTIA SecAI+ CompTIA SecAI+ v1 Exam

CompTIA SecAI+ v1 Exam

Last Update Jun 13, 2026
Total Questions : 126

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Questions 2

A team of engineers builds an application using a large language model (LLM). The application is built on Linux and is hosted on a virtual server. Users must create an account in order to access and use the platform.

Which of the following should the team do to protect the account credentials?

Options:

A.  

Patch the model with the latest data set.

B.  

Update the Linux and virtual servers.

C.  

Implement hashing and encryption.

D.  

Deploy an authenticated application programming interface (API).

Discussion 0
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Questions 3

A cybersecurity administrator must examine the cost of AI and implement controls so the research environment operates within a specified budget.

Which of the following controls is best for this situation?

Options:

A.  

Prompt firewalls

B.  

Application programming interface (API) access

C.  

Model guardrails

D.  

Token limits

Discussion 0
Questions 4

A security analyst is aware of an active penetration test in the environment. The analyst examines SIEM log data and notices the following AI system output:

Questions 4

Which of the following is the vulnerability that has occurred and the control the analyst should implement?

Options:

A.  

The vulnerability is prompt injection, and the analyst should use endpoint detection response (EDR).

B.  

The vulnerability is model hallucinations, and the analyst should develop output validations.

C.  

The vulnerability is jailbreaking, and the analyst should utilize role-based access control.

D.  

The vulnerability is sensitive information disclosure, and the analyst should employ masking.

E.  

The vulnerability is role impersonation, and the analyst should use validation.

Discussion 0
Questions 5

A cybersecurity analyst wants to choose a machine learning (ML) model to classify log entries while providing the best explainability.

Which of the following models should the analyst use?

Options:

A.  

Large language model (LLM)

B.  

Neural networks

C.  

Decision trees

D.  

Generative adversarial network (GAN)

Discussion 0

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