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| Section | Weight | Objectives |
|---|---|---|
| Attacks, Threats, and Vulnerabilities | 24% | - Explain threat actor types and attributes - Explain penetration testing concepts - Given a scenario, analyze potential indicators to determine the type of attack - Given a scenario, analyze potential indicators associated with application attacks - Compare and contrast types of social engineering attacks - Given a scenario, analyze potential indicators associated with network attacks - Explain vulnerability scanning concepts |
| Governance, Risk, and Compliance | 14% | - Explain risk management processes and concepts - Summarize regulations, standards, and frameworks that impact organizations - Compare and contrast various types of security controls - Explain privacy and sensitive data concepts in relation to security - Given a scenario, follow organizational security policies and procedures |
| Architecture and Design | 21% | - Summarize basics of cryptographic concepts - Explain secure application development, deployment, and automation concepts - Summarize authentication and authorization design concepts - Summarize virtualization and cloud security concepts - Explain the importance of physical security controls - Explain the security implications of embedded and specialized systems - Explain the importance of security concepts in an enterprise environment - Given a scenario, implement cybersecurity resilience |
| Implementation | 25% | - Given a scenario, implement public key infrastructure (PKI) - Given a scenario, implement secure network architecture concepts - Given a scenario, implement secure systems design - Given a scenario, implement secure host settings - Given a scenario, implement authentication and authorization solutions - Given a scenario, apply cybersecurity solutions to the cloud - Given a scenario, implement identity and account management controls - Given a scenario, implement secure mobile device policies |
| Operations and Incident Response | 16% | - Given a scenario, use appropriate tool to assess organizational security - 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 data sources to support an investigation - Explain key aspects of digital forensics |
>> CY0-001 Test Questions Answers <<
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NEW QUESTION # 89
An architect is creating a threat model for an agentic system. Which of the following should the architect do first?
Answer: D
Explanation:
The first step in creating a threat model is to identify trust boundaries, which define where data or control transitions between different systems, users, or components. This helps map potential attack surfaces and informs subsequent risk analysis and control
NEW QUESTION # 90
SIMULATION
Instructions
Click the (+) to assign each threat category into its appropriate framework.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.
An architect is modeling an agentic system to meet security standards.
Answer:
Explanation:
Explanation:
MAESTRO: Overreliance, Insecure plug-in design
OWASP Top 10: Broken access control, Identification and authentication failures OWASP Top 10 LLM: Prompt injection, Model denial of service STRIDE: Elevation of privilege, Repudiation, Supply chain vulnerabilities, Insecure design MAESTRO addresses AI-specific misuse such as excessive trust in outputs (overreliance) and unsafe plug-in design.
OWASP Top 10 maps to classic web threats: broken access control and authentication failures are key risks.
OWASP Top 10 LLM focuses on LLM-related threats like prompt injection and denial of service targeting the model.
STRIDE categories cover privilege escalation, repudiation (denying actions), supply chain risks, and insecure design flaws.
NEW QUESTION # 91
Which of the following is the primary security risk when deploying AI models in production?
Answer: B
Explanation:
Basic Concept: When AI models are deployed in production, they interact with real data including sensitive business information, personal data, and confidential records. The intersection of AI capabilities and sensitive data creates significant security risks. CompTIA SecAI+ Exam Objectives identify data exposure as the primary production security risk for AI deployments.
Why D is Correct: Data exposure is the primary security risk in production AI deployments. AI models in production process sensitive data through queries and responses, and vulnerabilities such as prompt injection, model inversion attacks, insecure output handling, and misconfigured access controls can expose confidential training data, user PII, proprietary information, or system credentials. The consequences include regulatory violations, legal liability, and reputational damage, making data exposure the most critical ongoing security concern.
Why A is Wrong: GPU acceleration is a performance optimization technique that uses graphics processors for faster AI computation. While hardware security is important, GPU acceleration itself is not a security risk - it is a performance feature that does not inherently expose data.
Why B is Wrong: Model overfitting is a model quality issue where a model performs poorly on new data after memorizing training data too specifically. While it can indirectly contribute to data memorization, it is primarily a performance and generalization concern during development rather than a primary production security risk.
Why C is Wrong: Model encryption is a security control used to protect AI model weights from unauthorized access, not a risk itself. Framing a protection mechanism as a primary risk conflates controls with threats.
NEW QUESTION # 92
When should containment occur during the incident response lifecycle?
Answer: A
Explanation:
Containment follows identification and precedes eradication.
NEW QUESTION # 93
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?
Answer: D
Explanation:
Basic Concept: When API sessions or connections remain active and consuming resources after their intended operations have completed, they create resource leaks that progressively degrade system availability. Session lifecycle management is critical for maintaining AI system health. CompTIA SecAI+ Study Guide covers session management as an availability control for AI systems.
Why B is Correct: Enforcing session expiration ensures that external API sessions and connections are automatically terminated after a defined idle period or maximum duration. This prevents resource-consuming zombie sessions from accumulating and exhausting system memory, thread pools, or connection limits. The observed pattern - persistent unavailability that resolves temporarily with restart - is classic resource leak behavior from sessions that never close, making session expiration the direct fix.
Why A is Wrong: Token limits cap the number of tokens processed per request. While useful for controlling per-request resource consumption, they do not address the root cause of sessions persisting and consuming resources long after their operations complete.
Why C is Wrong: Increasing system memory defers the problem rather than solving it. The leak will eventually consume the additional memory too, requiring another restart. Addressing the root cause through session management is superior to scaling resources to accommodate the leak.
Why D is Wrong: MFA adds an additional authentication factor for users accessing the system. It is a security control for identity verification, not a mechanism for managing session lifecycle or preventing resource exhaustion from lingering sessions.
NEW QUESTION # 94
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