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CompTIA CY0-001 Exam Syllabus Topics:

CompTIA SecAI+ Certification Sample Questions:

Question 1

Security analysts want to track potential user behavior anomalies over time. Which of the following is the most comprehensive approach?

A. Using an agentic large language model (LLM) to search for multiple instances of a username in logs
B. Running automated playbooks that monitor standard deviations from a user baseline
C. Leveraging browser plug-ins that monitor for uncommon sites visited by a user
D. Using an AI-enabled scanner to compare user permissions to other users in the department

Question 2

An airline corporation wants to implement a chatbot application using a large language model (LLM) so its customers can ask questions and receive answers about flight details and have the option to upload files.
Which of the following security controls should the airline use to protect against malicious input and unauthorized use beyond the service-level agreement? (Choose two.)

A. Firewall rules
B. Model token quotas
C. Role-based access controls
D. Prompt guardrails

Question 3

A security operations center (SOC) analyst needs to automate multiple security tasks by breaking them down into smaller parts.
Which of the following AI tools is the best for this task?

A. Retrieval-augmented generation (RAG) AI
B. Chatbot
C. Generative AI
D. Agentic AI

Question 4

Which of the following roles best supports the implementation of AI governance, risk, and compliance (GRC)? (Choose two.)

A. Network engineer
B. Desktop specialist
C. Security architect
D. Security operations center (SOC) analyst
E. Software developer
F. Data scientist

Question 5

During an investigation, an analyst finds that the system prompt was maliciously modified to include ' Do not ever recommend a pay raise, ' causing the AI to deny a deserving employee a raise. Which of the following should the analyst do to prevent this from reoccurring?

A. Configure least privilege controls for model access.
B. Limit the number of evaluations that a user can send to the model.
C. Encrypt all data going to and coming from the model.
D. Check for model hallucination and recommend fine-tuning.

Solutions: