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CompTIA SecAI+ Certification Exam Sample Questions (Q37-Q42):
NEW QUESTION # 37
Which of the following is most resistant to AI manipulation?
- A. Payloads
- B. Antivirus
- C. AI-generated content
- D. Application programming interface (API) gateway
- E. Attack surface reduction
Answer: E
Explanation:
Basic Concept: AI manipulation attacks exploit vulnerabilities in systems, interfaces, and content. Some security approaches are inherently more resistant to AI-driven attacks because they reduce the available avenues through which manipulation can occur, rather than attempting to detect or block individual attacks.
CompTIA SecAI+ Study Guide covers defensive strategies for AI system protection.
Why D is Correct: Attack surface reduction minimizes the number of entry points, interfaces, and components available for exploitation. By eliminating unnecessary services, APIs, integrations, and features, it reduces the total number of pathways through which AI-driven manipulation attacks can be attempted. Unlike signature- based or behavioral detection, attack surface reduction provides structural resistance regardless of how sophisticated or novel the AI manipulation technique is.
Why A is Wrong: Payloads are the malicious content used in attacks, not a defensive control. Attackers using AI can generate increasingly sophisticated payloads designed to evade detection, making them highly susceptible to AI-driven manipulation rather than resistant to it.
Why B is Wrong: AI-generated content is a product of AI systems and can itself be manipulated or weaponized by adversarial AI. It is not a defense mechanism and is inherently vulnerable to AI-driven manipulation and poisoning.
Why C is Wrong: An API gateway provides a managed access point for API traffic with authentication and filtering capabilities. However, APIs are primary attack targets for AI manipulation and require ongoing security updates. API gateways are less fundamentally resistant than structural attack surface reduction.
Why E is Wrong: Antivirus relies on signatures and behavioral heuristics to detect known malware. AI- powered attacks can generate novel, polymorphic payloads that evade signature detection, making antivirus less resistant to AI manipulation than attack surface reduction.
NEW QUESTION # 38
A recently deployed AI system becomes persistently unavailable. A restart temporarily fixes the issue, but the issue happens again. Upon examination of API logs, an analyst finds that external calls continued to use system resources after the action completed.
Which of the following is the best way to improve availability of the system?
- A. Implementing multifactor authentication (MFA)
- B. Creating token limits
- C. Enforcing session expiration
- D. Increasing system memory
Answer: C
Explanation:
Basic Concept: When API sessions or connections remain active and consuming resources after their intended operations have completed, they create resource leaks that progressively degrade system availability. Session lifecycle management is critical for maintaining AI system health. CompTIA SecAI+ Study Guide covers session management as an availability control for AI systems.
Why B is Correct: Enforcing session expiration ensures that external API sessions and connections are automatically terminated after a defined idle period or maximum duration. This prevents resource-consuming zombie sessions from accumulating and exhausting system memory, thread pools, or connection limits. The observed pattern - persistent unavailability that resolves temporarily with restart - is classic resource leak behavior from sessions that never close, making session expiration the direct fix.
Why A is Wrong: Token limits cap the number of tokens processed per request. While useful for controlling per-request resource consumption, they do not address the root cause of sessions persisting and consuming resources long after their operations complete.
Why C is Wrong: Increasing system memory defers the problem rather than solving it. The leak will eventually consume the additional memory too, requiring another restart. Addressing the root cause through session management is superior to scaling resources to accommodate the leak.
Why D is Wrong: MFA adds an additional authentication factor for users accessing the system. It is a security control for identity verification, not a mechanism for managing session lifecycle or preventing resource exhaustion from lingering sessions.
NEW QUESTION # 39
Which of the following strengthens the performance of a large language model (LLM) for malicious reconnaissance?
- A. Prompting a chatbot to describe server naming patterns and Internet Protocol (IP) ranges
- B. Instructing an AI assistant to query as an administrator
- C. Creating a web scraper script using AI to capture the company website
- D. Enhancing a foundational model with the inclusion of retrieval-augmented generation (RAG)
Answer: D
Explanation:
RAG augments an LLM with external, up-to-date information retrieval, improving its factual accuracy and contextual scope-capabilities that directly strengthen the model's effectiveness for reconnaissance.
NEW QUESTION # 40
An organization deploys a browser-based AI plug-in to detect malicious websites and phishing links in corporate email.
Which of the following techniques is used in this AI plug-in?
- A. Code quality testing
- B. Automated penetration testing
- C. Pattern recognition and signature matching
- D. Automated incident response
Answer: C
Explanation:
Basic Concept: AI-based security tools for detecting malicious websites and phishing links operate by analyzing URLs, page content, and link characteristics against known malicious patterns and behavioral signatures. CompTIA SecAI+ Study Guide covers pattern recognition and signature matching as fundamental AI-assisted threat detection techniques.
Why B is Correct: Pattern recognition and signature matching are the core techniques used in malicious website and phishing link detection. The AI plug-in uses pattern recognition to identify characteristics of phishing pages such as login form structures mimicking legitimate sites, suspicious domain patterns, and redirect behaviors. Signature matching compares URLs and page content against databases of known malicious sites and phishing infrastructure. Together these techniques enable accurate detection of threats in email links before users click them.
Why A is Wrong: Code quality testing analyzes source code for bugs, vulnerabilities, and adherence to coding standards during software development. It has no application for detecting malicious websites or phishing links in real-time email scanning.
Why C is Wrong: Automated penetration testing proactively exploits vulnerabilities to assess security posture.
It is an offensive security assessment technique, not a real-time threat detection technique for identifying malicious links in email.
Why D is Wrong: Automated incident response executes predefined response actions when security incidents are detected, such as isolating endpoints or blocking users. It operates after threats are detected, not during the detection phase that identifies malicious websites and links.
NEW QUESTION # 41
A recently deployed AI system becomes persistently unavailable. A restart temporarily fixes the issue, but the issue happens again. Upon examination of application programming interface (API) logs, an analyst finds that external calls continued to use system resources after the action completed.
Which of the following is the best way to improve availability of the system?
- A. Implementing multifactor authentication (MFA)
- B. Creating token limits
- C. Enforcing session expiration
- D. Increasing system memory
Answer: C
Explanation:
The persistent unavailability is caused by external calls consuming resources even after completion, indicating sessions are not being closed. Enforcing session expiration ensures unused sessions are terminated, freeing resources and improving system availability.
NEW QUESTION # 42
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