Available Number of Questions: Maximum of
126 Questions
Exam Name: CompTIA SecAI+ v1 Exam
Exam Duration: 60 Minutes
Related Certification(s):
CompTIA SecAI+ Certification
CompTIA CY0-001 Exam Topics - You’ll Be Tested in Actual Exam
You will spend more time than you expect thinking about how AI systems fail in security contexts, not admiring model features. The exam keeps pulling you back to risk. It tests whether you can reason from basic AI concepts straight into security consequences like data exposure, model behavior you did not intend, and brittle decision boundaries that attackers can game, then translate that into concrete protection choices. A big chunk is about securing AI systems across the lifecycle, from what goes into training and prompts to what leaves as outputs, and how controls differ when you are protecting data, models, and the surrounding pipelines. AI assisted security shows up as the practical counterweight. You need to judge when AI helps triage alerts, spot patterns, or speed investigations, and when it quietly adds new failure modes like false confidence or poisoned signals. The part that trips candidates up is governance risk and compliance because it is not just paperwork. You are expected to connect policies, roles, and oversight to technical realities such as monitoring for drift, handling sensitive data, and documenting how decisions were made when AI influences security actions. If you can keep one mental habit, keep asking what could be attacked, what would be the blast radius, and what evidence would prove it happened, then practice applying that habit to AI inputs, outputs, and operational use cases.
CompTIA CY0-001 Exam Short Quiz
Attempt this CompTIA CY0-001 exam quiz to self-assess your preparation for the actual CompTIA SecAI+ v1 Exam . CertBoosters also provides premium CompTIA CY0-001 exam questions to pass the CompTIA SecAI+ v1 Exam in the shortest possible time. Be sure to try our free practice exam software for the CompTIA CY0-001 exam.
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CompTIA CY0-001 Exam Quiz
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CompTIACY0-001
Q1:
Which of the following strengthens the performance of a large language model (LLM) for malicious reconnaissance?
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AEnhancing a foundational model with the inclusion of retrieval-augmented generation (RAG)
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BCreating a web scraper script using AI to capture the company website
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CInstructing an AI assistant to query as an administrator
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DPrompting a chatbot to describe server naming patterns and Internet Protocol (IP) ranges
CompTIACY0-001
Q2:
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?
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ACode quality testing
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BPattern recognition and signature matching
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CAutomated penetration testing
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DAutomated incident response
CompTIACY0-001
Q3:
Which of the following is the most concerning risk for a company that allows corporate end users to use public-facing large language models (LLMs)?
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AInaccuracies due to hallucinations
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BOut-of-date acceptable use policies
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CData security regulatory violations
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DMalicious code generation
CompTIACY0-001
Q4:
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?
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ACreating token limits
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BEnforcing session expiration
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CIncreasing system memory
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DImplementing multifactor authentication (MFA)
CompTIACY0-001
Q5:
An organization wants to reduce vulnerabilities after deployment. The organization decides to incorporate an AI-assisted early detection and vulnerability identification process in its development workflow.
Which of the following AI-assisted functions is the best option?
