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CompTIA CY0-001 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implementation25%- Given a scenario, implement identity and account management controls
- Given a scenario, apply cybersecurity solutions to the cloud
- Given a scenario, implement secure host settings
- Given a scenario, implement secure systems design
- Given a scenario, implement authentication and authorization solutions
- Given a scenario, implement secure mobile device policies
- Given a scenario, implement public key infrastructure (PKI)
- Given a scenario, implement secure network architecture concepts
Topic 2: Operations and Incident Response16%- Summarize the importance of policies, processes, and procedures for incident response
- Given a scenario, apply mitigation techniques or controls to secure an environment
- Explain key aspects of digital forensics
- Given a scenario, use appropriate tool to assess organizational security
- Given a scenario, use data sources to support an investigation
Topic 3: Governance, Risk, and Compliance14%- Compare and contrast various types of security controls
- Explain risk management processes and concepts
- Explain privacy and sensitive data concepts in relation to security
- Given a scenario, follow organizational security policies and procedures
- Summarize regulations, standards, and frameworks that impact organizations
Topic 4: Architecture and Design21%- Explain the importance of physical security controls
- Summarize virtualization and cloud security concepts
- Explain the security implications of embedded and specialized systems
- Summarize basics of cryptographic concepts
- Summarize authentication and authorization design concepts
- Given a scenario, implement cybersecurity resilience
- Explain secure application development, deployment, and automation concepts
- Explain the importance of security concepts in an enterprise environment
Topic 5: Attacks, Threats, and Vulnerabilities24%- Explain vulnerability scanning concepts
- Explain threat actor types and attributes
- Compare and contrast types of social engineering attacks
- Given a scenario, analyze potential indicators associated with application attacks
- Explain penetration testing concepts
- Given a scenario, analyze potential indicators to determine the type of attack
- Given a scenario, analyze potential indicators associated with network attacks

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CompTIA SecAI+ Certification Exam Sample Questions (Q120-Q125):

NEW QUESTION # 120
A manufacturing company wants to use AI within its operations to improve the efficiency and accuracy of its processes. Which of the following should the organization do first to enable adoption and achieve the business objectives?

Answer: B

Explanation:
The first step in adopting AI to meet business objectives is to establish the right expertise. A data and AI architect can design the overall strategy, infrastructure, and data pipelines needed for effective AI integration, ensuring alignment with operational goals before selecting specific models or certifications.


NEW QUESTION # 121
A company wants to detect abnormal insider activity based on historical logs. Which technology is BEST?

Answer: A

Explanation:
User and Entity Behavior Analytics detects deviations from normal patterns.


NEW QUESTION # 122
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)?

Answer: B

Explanation:
The greatest concern with employees using public-facing LLMs is the potential exposure of sensitive or regulated corporate data. Submitting such information to external systems may violate data protection laws (e.g., GDPR, HIPAA), creating legal and compliance risks that outweigh issues like hallucinations or malicious outputs.


NEW QUESTION # 123
A healthcare company deploys an AI chatbot that implements retrieval-augmented generation (RAG) using the company ' s historical data set. The chatbot output contains patient information.
Which of the following is the most effective technique to mitigate this vulnerability?

Answer: D

Explanation:
Basic Concept: When an AI chatbot powered by RAG retrieves and outputs sensitive patient information such as names, medical histories, or identifiers, the risk of Protected Health Information (PHI) disclosure must be mitigated. CompTIA SecAI+ Study Guide covers data protection techniques for AI systems handling sensitive health data.
Why A is Correct: Masking replaces sensitive data values such as patient names, dates of birth, medical record numbers, and diagnoses with redacted or anonymized equivalents in the chatbot ' s output. Even if the RAG system retrieves records containing patient information, masking ensures that the sensitive fields are obscured before the response is presented to the user. This directly prevents PHI disclosure while allowing the chatbot to provide useful responses based on the underlying data patterns.
Why B is Wrong: Classification involves categorizing data by its sensitivity level such as public, internal, confidential, or restricted. While it identifies which data requires protection, classification alone does not transform or obscure the sensitive values in chatbot outputs.
Why C is Wrong: Data minimization is a privacy principle that limits data collection to only what is necessary for the specified purpose. While valuable as a design principle when building the RAG knowledge base, it is a data governance strategy rather than a technical output control that can be applied to mitigate existing PHI disclosure in chatbot responses.
Why D is Wrong: Normalization is a data processing technique that scales numerical values to a standard range or standardizes data formats. It is a preprocessing step for improving model training efficiency, not a data protection technique for preventing patient information disclosure in AI outputs.


NEW QUESTION # 124
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)?

Answer: B

Explanation:
Basic Concept: Assessing attack probability and impact for ML systems requires a resource specifically built to catalog real-world adversarial attacks against AI and ML systems, including documented techniques with associated impact information. CompTIA SecAI+ Exam Objectives identify MITRE ATLAS as the authoritative ML threat landscape resource.
Why B is Correct: MITRE ATLAS is specifically designed as a comprehensive knowledge base of adversarial tactics, techniques, and case studies targeting AI and ML systems. It catalogs real-world attacks with associated probability factors derived from actual incidents and provides impact assessments for various attack types including data poisoning, model evasion, model extraction, and inference attacks. This directly enables the probability and impact assessment the team requires.
Why A is Wrong: The CVE AI working group focuses on identifying and cataloging specific vulnerability instances in AI software components. While useful for vulnerability management, it does not provide the comprehensive threat landscape coverage with probability and impact assessments for ML-specific attack tactics that ATLAS provides.
Why C is Wrong: The MIT risk repository is an academic resource cataloging general AI-related risks. It is research-oriented and does not provide the practitioner-focused, operational attack taxonomy and case study library that MITRE ATLAS offers for ML threat modeling.
Why D is Wrong: OWASP provides application security guidance including the OWASP LLM Top 10. While valuable for LLM-specific risks, OWASP does not provide the comprehensive ML threat landscape coverage or the probability and impact data that MITRE ATLAS offers for assessing the full spectrum of ML attack scenarios.


NEW QUESTION # 125
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