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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI-Assisted Security | 24% | - Operational Use of AI
|
| Topic 2: AI Governance, Risk, and Compliance | 19% | - Risk and Compliance
|
| Topic 3: Basic AI Concepts Related to Cybersecurity | 17% | - AI Threat Landscape
|
| Topic 4: Securing AI Systems | 40% | - AI System Protection
|
IT전문가들이 자신만의 경험과 끊임없는 노력으로 만든 최고의CompTIA CY0-001학습자료---- ITDumpsKR의 CompTIA CY0-001덤프! CompTIA CY0-001덤프로 시험보시면 시험패스는 더는 어려운 일이 아닙니다. 사이트에서 데모를 다운받아 보시면 덤프의 일부분 문제를 먼저 풀어보실수 있습니다.구매후 덤프가 업데이트되면 업데이트버전을 무료로 드립니다.
질문 # 58
Developers introduce new features to their generative AI product in an effort to stand out from the competition and offer more value to customers.
Which of the following most accurately explains the risks when enabling more functionality?
정답：D
설명：
Basic Concept: The relationship between AI system capabilities and security risk is a fundamental concept in AI governance. As AI models gain more functionality and capabilities, their potential for misuse, unintended consequences, and attack surface expansion grows proportionally. CompTIA SecAI+ Study Guide addresses capability-risk proportionality under AI governance.
Why D is Correct: The risks of a generative AI product are proportional to its capabilities. Each new feature expands what the model can do, which simultaneously expands what adversaries can manipulate it to do, what sensitive operations it can be directed to perform, and what unintended harm it can cause. A model that can generate text, images, execute code, and call external APIs has dramatically greater risk potential than one that can only generate text. Risk grows with capability scope.
Why A is Wrong: Risks do not remain constant when new features are added. New features introduce new attack vectors, expand the model ' s action space, and create new opportunities for misuse. Each addition fundamentally changes the system ' s risk profile.
Why B is Wrong: While risks do increase with new features, saying they simply increase does not capture the precise relationship. The increase is proportional to the nature and scope of the capabilities added, not a uniform increment for any feature addition.
Why C is Wrong: While risks can be measured qualitatively, stating that risks are measured qualitatively is a statement about measurement methodology rather than an explanation of how risks change when functionality is enabled. It does not accurately describe the relationship between capability and risk.
질문 # 59
Which of the following International Organization for Standardization (ISO) standards contains compliance requirements for building an AI management system?
정답：B
설명：
Basic Concept: ISO develops management system standards for various organizational domains. For organizations building and managing AI systems in a structured, compliant manner, the appropriate ISO standard must specifically address the unique requirements of AI management systems including risk governance, lifecycle management, and accountability. CompTIA SecAI+ Exam Objectives cover ISO standards applicable to AI governance.
Why D is Correct: ISO 42001 (Artificial Intelligence Management System - AIMS) is the international standard specifically designed for building and managing AI management systems. It provides compliance requirements and guidance for establishing, implementing, maintaining, and continually improving an organization ' s AI management system, addressing AI-specific concerns including risk management, AI system governance, accountability, transparency, and continuous improvement for AI applications.
Why A is Wrong: ISO 20000 is the Information Technology Service Management (ITSM) standard covering IT service delivery processes, SLAs, incident management, and change management. It is not an AI management standard and does not address AI-specific governance requirements.
Why B is Wrong: ISO 27001 is the Information Security Management System (ISMS) standard addressing organizational information security risk management through controls and policies. While relevant to data security in AI systems, it does not contain requirements specifically for building an AI management system.
Why C is Wrong: ISO 27018 is a code of practice for protection of personally identifiable information (PII) in public cloud computing environments, extending ISO 27001 for cloud privacy. It addresses cloud PII protection rather than AI system management compliance requirements.
질문 # 60
Which methods identify vulnerabilities BEFORE deployment? (Choose two.)
정답：B,C
설명：
Pre-deployment assessments rely on design evaluation and code inspection.
질문 # 61
A financial services company is being sued for using AI in the loan underwriting process. The lawsuit reveals that the AI model used biased sources to disproportionately deny loans to residents in certain postal codes.
Which of the following employees is the most qualified to remove these biased sources from the model?
정답：A
설명：
The data scientist is the most appropriate role because correcting biased source data requires examining the datasets used to develop, train, validate, or refine the model and then modifying the data preparation or model- development process. Data scientists work directly with training data, feature selection, statistical distributions, model development, and evaluation, which places them in the strongest position to identify biased inputs and retrain or adjust the model using more representative information. CompTIA SecAI+ includes the data scientist as a formal AI governance role and separately identifies fairness, introduction of bias, accuracy, and model performance as key responsible-AI risks. A platform engineer primarily manages the infrastructure supporting AI workloads. A cybersecurity analyst focuses on security threats, monitoring, and defensive controls rather than correcting discriminatory training data. An AI architect designs the broader architecture and integration of AI solutions but normally does not perform the detailed dataset preparation and model-training work required here. Because the problem originates in biased data sources, the data scientist is the role closest to the underlying cause.
질문 # 62
A security operations center (SOC) analyst needs to automate multiple security tasks by breaking them down into smaller parts. Which of the following AI tools is the best for this task?
정답：D
설명：
Agentic AI is designed to autonomously break down complex tasks into smaller steps and execute them in sequence. This makes it the best tool for automating multiple security tasks in a SOC environment.
질문 # 63
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