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CompTIA CY0-001 Exam Syllabus Topics:

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

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CompTIA SecAI+ Certification Exam Sample Questions (Q127-Q132):

NEW QUESTION # 127
Which control BEST prevents attackers from harvesting password hashes during lateral movement?

Answer: A

Explanation:
LSASS-protection solutions prevent hash extraction.


NEW QUESTION # 128
A vulnerability scan produces many false positives. What does this indicate?

Answer: D

Explanation:
High sensitivity → catches many issues but lowers accuracy (more false positives).


NEW QUESTION # 129
A penetration tester is assessing the controls of a deployed AI system that is designed to search and return the contents of files.
The tester runs the following:

Which of the following is the best control to prevent abuse of the system?

Answer: C

Explanation:
Basic Concept: AI systems that access file systems or databases use service accounts to authenticate.
Applying the principle of least privilege to these service accounts limits the damage that can result from prompt injection or other attacks that cause the AI to perform unauthorized file access. CompTIA SecAI+ Study Guide covers least privilege as a core AI security control.
Why D is Correct: Reducing the privilege scope of the service account implements the least privilege principle, ensuring the AI system can only access files it legitimately needs for its intended function. If an attacker uses prompt injection to abuse the file search capability, the service account ' s limited permissions prevent access to sensitive files outside the defined scope, containing the blast radius of any exploitation.
Why A is Wrong: Custom detection rules identify anomalous behavior after it occurs. They are detective controls, not preventive controls. They do not stop an attacker from successfully abusing the system; they only alert after abuse has occurred.
Why B is Wrong: VPC segmentation isolates the workload at the network level, limiting lateral movement.
However, it does not restrict what files the AI ' s service account can access within its own environment, so file abuse attacks within the segment are still possible.
Why C is Wrong: LLM guardrails filter prompt inputs and outputs for policy violations. While useful, they can potentially be bypassed through sophisticated prompt injection. Reducing service account privileges provides a defense-in-depth layer that limits damage even if guardrails are bypassed.


NEW QUESTION # 130
An AI security administrator notices that the information referenced by the model is incorrectly formatted and missing values.
Which of the following job roles would most likely be responsible for correcting this error?

Answer: D

Explanation:
Basic Concept: In AI teams, different roles hold distinct responsibilities for specific aspects of the AI system.
Data quality issues such as incorrect formatting and missing values fall within the domain of data engineering, which is responsible for designing, building, and maintaining the data pipelines and datasets that feed AI models. CompTIA SecAI+ Study Guide covers AI team role definitions under governance and basic AI concepts.
Why C is Correct: A Data Engineer is responsible for building and maintaining the data pipelines, transformation processes, and data quality controls that supply AI models with properly formatted, complete data. Addressing incorrectly formatted data and missing values is a core data engineering responsibility, as these professionals own the ETL (Extract, Transform, Load) processes, data validation rules, and data quality frameworks that ensure the model receives clean, usable input.
Why A is Wrong: A Platform Engineer designs and maintains the computing infrastructure and platforms that host AI systems. Their focus is the technical environment and deployment infrastructure, not the quality or formatting of the data consumed by models.
Why B is Wrong: An MLOps Engineer manages the deployment, monitoring, and operational lifecycle of AI models in production. While they may detect data quality issues through monitoring, resolving data formatting and missing value problems is the responsibility of data engineers who own the data pipelines.
Why D is Wrong: An AI Architect designs the overall AI system architecture, component interactions, and technical strategy. While they define data requirements, the hands-on work of correcting data formatting errors and filling missing values belongs to the data engineering function.


NEW QUESTION # 131
An airline corporation wants to implement a chatbot application using a large language model (LLM) so its customers:
- Can ask question and receive answers about flight details.
- Have the option to upload files.
Which of the following security controls should the airline use to protect against malicious input and unauthorized use beyond the service-level agreement? (Choose two.)

Answer: A,D

Explanation:
Prompt guardrails are needed to prevent malicious or manipulated inputs (prompt injection) from causing the chatbot to provide harmful, misleading, or unauthorized responses.
Model token quotas limit the amount of input/output a user can generate, preventing abuse or excessive usage beyond the service-level agreement (SLA).


NEW QUESTION # 132
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