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| Section | Weight | Objectives |
|---|---|---|
| Implementation | 25% | - Given a scenario, implement identity and account management controls - Given a scenario, implement public key infrastructure (PKI) - Given a scenario, implement secure mobile device policies - Given a scenario, implement authentication and authorization solutions - Given a scenario, implement secure host settings - Given a scenario, implement secure network architecture concepts - Given a scenario, implement secure systems design - Given a scenario, apply cybersecurity solutions to the cloud |
| Architecture and Design | 21% | - Summarize authentication and authorization design concepts - Summarize virtualization and cloud security concepts - Explain secure application development, deployment, and automation concepts - Given a scenario, implement cybersecurity resilience - Explain the importance of security concepts in an enterprise environment - Explain the security implications of embedded and specialized systems - Summarize basics of cryptographic concepts - Explain the importance of physical security controls |
| Governance, Risk, and Compliance | 14% | - Given a scenario, follow organizational security policies and procedures - Compare and contrast various types of security controls - Explain risk management processes and concepts - Summarize regulations, standards, and frameworks that impact organizations - Explain privacy and sensitive data concepts in relation to security |
| Operations and Incident Response | 16% | - Explain key aspects of digital forensics - Given a scenario, use data sources to support an investigation - Summarize the importance of policies, processes, and procedures for incident response - Given a scenario, apply mitigation techniques or controls to secure an environment - Given a scenario, use appropriate tool to assess organizational security |
| Attacks, Threats, and Vulnerabilities | 24% | - Given a scenario, analyze potential indicators associated with application attacks - Given a scenario, analyze potential indicators associated with network attacks - Given a scenario, analyze potential indicators to determine the type of attack - Explain vulnerability scanning concepts - Compare and contrast types of social engineering attacks - Explain penetration testing concepts - Explain threat actor types and attributes |
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NEW QUESTION # 141
Which of the following job roles in an organizational governance structure develops a model from business use cases?
Answer: C
Explanation:
Basic Concept: In AI governance, each role holds distinct responsibilities. Understanding these roles is core to CompTIA SecAI+ Domain 4 (AI Governance, Risk, and Compliance).
Why D is Correct: The Data Scientist is responsible for translating business use cases into working AI/ML models. They analyze business requirements, identify the appropriate machine learning approach, and develop models that fulfill specific business objectives. According to the CompTIA SecAI+ Study Guide, data scientists bridge raw data and actionable AI solutions by building and validating models derived from business-driven needs.
Why A is Wrong: A Platform Architect designs and manages the infrastructure and technical platforms hosting AI systems. Their focus is architectural design of the environment, not model development from business use cases.
Why B is Wrong: An AI Risk Analyst identifies, evaluates, and mitigates risks associated with AI adoption.
Their role is governance and risk-oriented, not model creation.
Why C is Wrong: An MLOps Engineer operationalizes, deploys, monitors, and maintains AI models in production. They take models already built by data scientists and ensure reliable operation at scale, not develop them from business use cases.
NEW QUESTION # 142
Which of the following is the first step before using an online data set?
Answer: B
Explanation:
A third-party risk management assessment is the best first step because an externally obtained online dataset introduces risks concerning source trustworthiness, provenance, licensing, privacy, integrity, security, and regulatory compliance. CompTIA SecAI+ requires candidates to understand third-party compliance evaluations as part of AI governance and also emphasizes trustworthiness and authenticity during the AI lifecycle ' s data-collection stage. Before incorporating an externally sourced dataset into model development or training, the organization should determine who created or controls the data, whether its collection and distribution are legitimate, whether contractual or usage restrictions exist, and whether sensitive or malicious content could be present. A legal review may subsequently be required for licensing, copyright, privacy, and contractual issues, but third-party risk assessment provides the broader initial evaluation. A feasibility study addresses whether the proposed project is practical from a business perspective rather than whether the dataset is trustworthy. Model design review occurs later and focuses on architecture and implementation.
Consequently, third-party risk management provides the most comprehensive initial gate before introducing an online dataset into the organization ' s AI lifecycle.
NEW QUESTION # 143
Which IR document defines who must be contacted during a breach and within what timeframe?
Answer: B
Explanation:
The communications plan specifies notification roles and timelines.
NEW QUESTION # 144
A security administrator must implement security controls for AI systems.
Which of the following access controls should the administrator set up first for authentication?
Answer: C
Explanation:
Basic Concept: In a layered AI system security architecture, access control must be established at each layer, beginning from the outermost point of entry. Authentication must be established at the endpoint level first, as this is the first point of interaction between users and the AI system. CompTIA SecAI+ Study Guide establishes endpoint authentication as the initial access control layer for AI systems.
Why D is Correct: Endpoint access control is the first authentication control to implement because it governs the initial connection from user devices or client applications to the AI system. All subsequent access layers including server access, model access, and data access depend on the endpoint being authenticated first.
Establishing endpoint authentication ensures that only authorized endpoints can initiate sessions and proceed through subsequent authentication layers.
Why A is Wrong: Model access controls govern who can query, update, or access the AI model ' s parameters and functions. This control layer is implemented after endpoint authentication has been established, as it applies to requests that have already been authenticated at the endpoint level.
Why B is Wrong: Server access controls manage access to the computing infrastructure hosting the AI system. While critical for infrastructure security, server-level controls are configured by administrators and are not the first authentication control for end-user access flows.
Why C is Wrong: Data access controls define what data the AI system and its users can read, write, or query.
These are implemented at a deeper layer after endpoint and potentially model authentication have verified that the requester is authorized to interact with the system at all.
NEW QUESTION # 145
A malware sample alters itself slightly each time it runs to evade signature detection. What technique is this?
Answer: B
Explanation:
Polymorphic malware changes its code structure while maintaining functionality.
NEW QUESTION # 146
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