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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Attacks, Threats, and Vulnerabilities | 24% | - Given a scenario, analyze potential indicators associated with network attacks - Compare and contrast types of social engineering attacks - Given a scenario, analyze potential indicators to determine the type of attack - Explain vulnerability scanning concepts - Given a scenario, analyze potential indicators associated with application attacks - Explain penetration testing concepts - Explain threat actor types and attributes |
| Topic 2: Architecture and Design | 21% | - Summarize authentication and authorization design concepts - Summarize virtualization and cloud security concepts - Explain the security implications of embedded and specialized systems - Given a scenario, implement cybersecurity resilience - Explain the importance of security concepts in an enterprise environment - Explain the importance of physical security controls - Summarize basics of cryptographic concepts - Explain secure application development, deployment, and automation concepts |
| Topic 3: Implementation | 25% | - Given a scenario, implement secure systems design - 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 secure network architecture concepts - Given a scenario, implement identity and account management controls - Given a scenario, implement secure mobile device policies - Given a scenario, implement public key infrastructure (PKI) |
| Topic 4: Operations and Incident Response | 16% | - Given a scenario, apply mitigation techniques or controls to secure an environment - Given a scenario, use appropriate tool to assess organizational security - Given a scenario, use data sources to support an investigation - Explain key aspects of digital forensics - Summarize the importance of policies, processes, and procedures for incident response |
| Topic 5: Governance, Risk, and Compliance | 14% | - Explain privacy and sensitive data concepts in relation to security - Given a scenario, follow organizational security policies and procedures - Explain risk management processes and concepts - Compare and contrast various types of security controls - Summarize regulations, standards, and frameworks that impact organizations |
CY0-001試験はIT業界でのあなたにとって重要です。あなたはCY0-001試験に悩んでいますか？試験に合格できないことを心配していますか？我々の提供した一番新しくて全面的なCompTIAのCY0-001問題集はあなたのすべての需要を満たすことができます。資格をもらうのはあなたの発展の第一歩で、我々のCY0-001日本語対策はあなたを助けて試験に合格して資格をもらうことができます。
質問 # 30
Which of the following helps in managing potential security issues related to model training?
正解：D
解説：
The NIST AI RMF provides structured guidance for identifying, assessing, and managing risks specific to AI systems, including those arising during model training. It addresses issues like bias, security, and data integrity, making it the best framework for managing training-related security concerns.
質問 # 31
A security consultant must summarize the impact of posture management on a machine learning (ML) use case. Which of the following is the most appropriate reference for this purpose?
正解：C
解説：
The NIST AI RMF provides structured guidance for assessing and managing risks across the AI lifecycle, including posture management. It helps organizations align AI security practices with governance, resilience, and trustworthiness requirements.
質問 # 32
Which of the following is most resistant to AI manipulation?
正解：C
解説：
Reducing the attack surface limits the number of potential entry points that attackers or manipulated AI inputs can exploit. This proactive security measure is more resistant to AI-driven manipulation than reactive controls like payload scanning or antivirus.
質問 # 33
Which of the following requires developers to harden infrastructure to protect AI systems?
正解：D
解説：
Configuration standards define how infrastructure and systems must be securely set up and maintained. By following these standards, developers harden the environment that supports AI systems, reducing risks from misconfigurations and vulnerabilities.
質問 # 34
Which of the following is the primary purpose of validating data for an AI system?
正解：B
解説：
Validating data ensures quality, consistency, and fairness in training sets, helping prevent biased or inaccurate results in AI system outputs.
質問 # 35
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