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CompTIA CY0-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Securing AI Systems | 40% | - Adversarial Defense
|
| Topic 2: AI Governance, Risk, and Compliance | 19% | - Risk and Compliance
|
| Topic 3: AI-Assisted Security | 24% | - Operational Use of AI
|
| Topic 4: Basic AI Concepts Related to Cybersecurity | 17% | - AI and Machine Learning Fundamentals
|
CompTIA SecAI+ Certification Sample Questions:
1. Users report that the output of a generative AI application seems unrelated to the prompts and contains offensive content. A security team investigates and determines that there was an on-path attack.
Which of the following is the most likely attack method?
A) Model hijacking
B) Domain hijacking
C) Session hijacking
D) Application server hijacking
2. A team of data scientists is ready to release a model for enterprise use. The team wants to protect the model from unintentional changes or tampering.
Which of the following is the most appropriate action?
A) Provide secure copies of the model for local runtime usage.
B) Restrict access to only IT professionals in the organization.
C) Change the model to a large language model (LLM) for interactive features with guardrails.
D) Integrate an application programming interface (API) with identity and access management (IAM) roles to interact with the model.
3. An internal user enters a client credit card number into an internal generative machine learning (ML) model:
#User prompt: Customer Jane Doe has a new credit card that she wants to add to her account. The number is
5555-5555-5555-5555
Which of the following is the most effective way to prevent prompt injection attacks against a large language model (LLM)?
A) Guardrails
B) Role-based access control
C) Antivirus
D) Web application firewall (WAF)
4. Which of the following is an example of how a security analyst uses generative AI in the triage process?
A) To summarize security findings by category
B) To use statistical analysis for malicious code assessment
C) To predict the next attack target with higher accuracy
D) To tag malware using machine learning (ML) algorithms
5. An IT company implements an adaptable chatbot that learns from user prompts. Based on the conversation shown - where User 2 injected false information about a company acquisition that caused the chatbot to give incorrect responses to User 3 - which of the following compensating controls should an administrator implement to mitigate the issue?
A) Guardrails
B) Transfer learning
C) Rate-limiting application programming interfaces (APIs)
D) Data encryption
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A |




