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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implementation | 25% | - Given a scenario, apply cybersecurity solutions to the cloud - Given a scenario, implement public key infrastructure (PKI) - Given a scenario, implement secure mobile device policies - Given a scenario, implement secure host settings - Given a scenario, implement identity and account management controls - Given a scenario, implement secure network architecture concepts - Given a scenario, implement authentication and authorization solutions - Given a scenario, implement secure systems design |
| Topic 2: Operations and Incident Response | 16% | - Given a scenario, use data sources to support an investigation - Given a scenario, use appropriate tool to assess organizational security - Explain key aspects of digital forensics - Given a scenario, apply mitigation techniques or controls to secure an environment - Summarize the importance of policies, processes, and procedures for incident response |
| Topic 3: Attacks, Threats, and Vulnerabilities | 24% | - Compare and contrast types of social engineering attacks - Explain vulnerability scanning concepts - Given a scenario, analyze potential indicators associated with network attacks - Explain penetration testing concepts - Given a scenario, analyze potential indicators associated with application attacks - Explain threat actor types and attributes - Given a scenario, analyze potential indicators to determine the type of attack |
| Topic 4: 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 |
| Topic 5: Architecture and Design | 21% | - Explain the importance of physical security controls - Given a scenario, implement cybersecurity resilience - Summarize virtualization and cloud security concepts - Explain secure application development, deployment, and automation concepts - Explain the importance of security concepts in an enterprise environment - Summarize authentication and authorization design concepts - Summarize basics of cryptographic concepts - Explain the security implications of embedded and specialized systems |
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NEW QUESTION # 101
A security operations center (SOC) has a very high volume of logs and alerts. The manager proposes the implementation of machine learning (ML) system to help with triage. Which of the following tasks is most suitable?
Answer: C
Explanation:
Machine learning is best suited for analyzing large volumes of security data and distinguishing between true threats and false positives. By identifying and classifying alerts, the ML system helps the SOC prioritize incidents and reduce analyst workload.
NEW QUESTION # 102
Which of the following International Organization for Standardization (ISO) standards should be selected for certification to use for third-party assurance for responsible AI practices?
Answer: A
Explanation:
Basic Concept: ISO develops international standards for management systems across various domains. For organizations seeking third-party certification demonstrating commitment to responsible AI governance practices, the appropriate ISO standard must specifically address AI management systems. CompTIA SecAI+ Exam Objectives cover ISO standards relevant to AI governance under Domain 4.
Why D is Correct: ISO 42001 is the International Standard for Artificial Intelligence Management Systems (AIMS). It provides a framework for establishing, implementing, maintaining, and continually improving an AI management system within organizations. ISO 42001 certification provides third-party assurance specifically for responsible AI practices including risk management, transparency, human oversight, and ethical AI governance - directly answering the question.
Why A is Wrong: ISO 20000 is the standard for IT Service Management (ITSM). It provides requirements for establishing and maintaining a service management system for IT services. It does not address AI governance or responsible AI practices.
Why B is Wrong: ISO 27001 is the standard for Information Security Management Systems (ISMS). It addresses general information security risk management, not AI-specific governance or responsible AI practices such as fairness, transparency, and AI lifecycle management.
Why C is Wrong: ISO 27701 extends ISO 27001 to address Privacy Information Management (PIMS), covering personal data protection requirements aligned with GDPR. While relevant to data privacy in AI systems, it does not specifically certify responsible AI governance practices.
NEW QUESTION # 103
A security analyst finds that the AI system is under a denial-of-wallet attack. Which of the following should the analyst enforce to protect the company? (Choose two.)
Answer: D,E
Explanation:
API rate controls limit the number of requests within a set timeframe, preventing attackers from overloading the system and driving up costs.
Output token controls restrict the length of responses, reducing unnecessary token usage that attackers might exploit in a denial-of-wallet attack.
NEW QUESTION # 104
User experience is declining since the launch of a large language model (LLM) in internal networks. Which of the following should be the highest priority for the prompt engineers?
Answer: C
Explanation:
When user experience is declining after an LLM launch, the top priority for prompt engineers is quality control. Ensuring prompts produce accurate, relevant, and safe outputs directly improves usability and restores user trust.
NEW QUESTION # 105
A security analyst reviews a recently released chatbot ' s log and discovers that outputs sometimes include personally identifiable information (PII) from other chatbot users.
Which of the following corrective actions should the security analyst take first to resolve this issue?
Answer: D
Explanation:
Basic Concept: When a chatbot leaks PII from one user ' s conversation into another user ' s responses, the root cause is cross-user memory contamination - the chatbot is retaining and sharing conversation context across user sessions. Disabling the memory feature stops the active data leakage immediately. CompTIA SecAI+ Study Guide covers session memory management as a privacy control for AI chatbots.
Why B is Correct: Disabling memory from chat history for all users immediately stops the mechanism causing PII leakage between users. If the chatbot retains no cross-session memory, it cannot include information from one user ' s conversation in another user ' s response. This is the most direct, immediate corrective action that eliminates the root cause of the privacy violation without requiring additional user behavior changes or service disruption.
Why A is Wrong: Taking the chatbot offline and restoring from backup is a drastic action appropriate when the issue requires investigating a potential compromise or data breach. For a configuration issue such as cross- user memory sharing, disabling the memory feature is a more targeted and proportionate first response that addresses the root cause directly.
Why C is Wrong: Asking users to refrain from using PII relies on voluntary user behavior change and does not address the technical root cause. Users may not comply, and even if they do, previously stored PII in memory would continue to leak. This is an ineffective first corrective action.
Why D is Wrong: Requiring users to label sensitivity does not stop the chatbot from storing and sharing PII that has already been submitted. Labels inform the system about data sensitivity but do not prevent the memory mechanism from sharing labeled sensitive data across user sessions.
NEW QUESTION # 106
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