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CompTIA CY0-001 Exam Syllabus Topics:

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

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CompTIA SecAI+ Certification Exam Sample Questions (Q15-Q20):

NEW QUESTION # 15
A phishing attachment appears harmless during static analysis but behaves maliciously when executed. Which technique would detect this?

Answer: C

Explanation:
Dynamic analysis observes real-time malicious activity.


NEW QUESTION # 16
During the selection of a machine learning (ML)-based threat classification model, a cybersecurity administrator verifies that label distribution is highly unbalanced. Which of the following processing techniques should the engineer use to balance the model?

Answer: C

Explanation:
When label distribution is highly unbalanced, data augmentation generates additional synthetic samples for the underrepresented classes. This balances the dataset, improving the ML model's ability to classify threats accurately across all categories.


NEW QUESTION # 17
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: A

Explanation:
MITRE ATLAS is specifically designed to capture adversarial tactics, techniques, and procedures (TTPs) targeting machine learning systems. It helps organizations assess both the probability and impact of AI/ML-related attacks, making it the most relevant threat-modeling resource.


NEW QUESTION # 18
An organization recently created a custom model that integrates with a language model (LLM). The developer notices that the application programming interface (API) costs have increased.
Which of the following is the best control to reduce cost?

Answer: A

Explanation:
Basic Concept: LLM API pricing is primarily based on token consumption - the number of tokens processed in both input prompts and output responses. Controlling token usage is the most direct lever for managing and reducing LLM API costs. CompTIA SecAI+ Study Guide covers AI cost management and resource controls under securing AI systems.
Why D is Correct: Adjusting token limits directly caps the maximum number of tokens used per request for both input and output. By setting appropriate token limits, the organization prevents excessively long prompts or verbose responses from consuming unnecessary tokens, directly translating to lower API costs and providing hard budget control.
Why A is Wrong: Prompt templates standardize how queries are structured, which can indirectly improve efficiency. However, they do not enforce a hard cap on token usage and cannot prevent costs from escalating with large volumes or verbose responses.
Why B is Wrong: Increasing CPU and memory addresses computational infrastructure performance on the client side. LLM API costs are billed by the API provider based on token usage, not on the client ' s hardware resources.
Why C is Wrong: Reducing model size means using a smaller, less powerful model version. While this may lower cost per token, it is a model selection decision, not an ongoing operational control that can be adjusted to manage cost in real time.


NEW QUESTION # 19
Instructions: Use the drop-down menus to define two appropriate security controls for each component of the AI system. Each control may be used only once.
An engineer is deploying a new AI system and wants to integrate it into the core system through an API.

Answer:

Explanation:

Explanation:

Basic Concept: This is a Performance-Based Question (PBQ) - a HOTSPOT/simulation item requiring interactive selection in the actual exam. It tests the candidate ' s ability to map appropriate security controls to AI system components such as API gateway, model endpoint, data layer, and authentication layer.
Key Concept - Appropriate Controls by Component: For an API gateway connecting an AI system, typical controls include API key authentication, rate limiting, TLS encryption, and input validation. For the model endpoint, controls include IAM role-based access, audit logging, and guardrails. For data access components, encryption at rest and data masking are appropriate. For the authentication layer, MFA and expiring session tokens are relevant.
Why This Matters: The CompTIA SecAI+ Study Guide emphasizes defense-in-depth for AI system integration, ensuring each architectural layer has dedicated, appropriate security controls. The principle of least privilege should guide access control assignments at each component, while availability controls such as rate limiting protect against abuse.
Reference: CompTIA SecAI+ Exam Objectives Domain 2 (Securing AI Systems) covers AI system component security controls. Candidates should study the mapping of controls to infrastructure components including API gateways, model serving endpoints, data stores, and identity management layers. In the live exam, select the most specific and directly relevant control for each component based on the component ' s function and risk profile.


NEW QUESTION # 20
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