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CompTIA SecAI+ Certification Sample Questions:

1. An AI security team must assess the probability of an attack on its new system and the impact associated with such an attack.
Which of the following threat-modeling resources best addresses the threat landscape for machine learning (ML)?

A) Massachusetts Institute of Technology (MIT) risk repository
B) MITRE Adversarial Threat Landscape for AI Systems (ATLAS)
C) Open Worldwide Application Security Project (OWASP)
D) Common Vulnerabilities and Exposures (CVE) AI working group

2. An attacker successfully completes a denial-of-service (DoS) attack through the context window of an AI system. Thousands of characters are obfuscated and hidden behind an emoji.
Which of the following techniques best mitigates this type of attack?

A) Fraud detection
B) Large language model (LLM)-as-a-judge
C) Pattern recognition
D) Prompt filter

3. A group of security engineers is developing a SIEM system that will be able to ingest data from multiple structured and unstructured sources, have a chatbot integrated with an LLM that the security analyst can interact with, and provide insights from the SIEM alert data.
Which of the following techniques should the security engineers consider before collecting the data from the respective sources?

A) Balancing
B) Vector storage
C) Verification
D) Cleansing

4. Which of the following is used to train an AI model with unstructured data?

A) Supervised learning
B) Statistical learning
C) Reinforcement training
D) Fine-tuning

5. A social media company with more than a million lines of code wants to reduce the mean time to fix bugs and issues.
Which of the following is the most balanced AI strategy to automate the vulnerability management flow?

A) Having security analysts triage discovered issues and create tickets, but having a software engineer merge software
B) Using AI to triage discovered issues and create tickets, but having a software engineer merge software
C) Having security analysts triage discovered issues and create tickets, but using AI to merge software
D) Using AI to triage discovered issues, create tickets, and merge software fixes

Solutions: