唯一無二CY0-001受験内容 | 最初の試行で簡単に勉強して試験に合格するt & 素敵なCY0-001: CompTIA SecAI+ Certification ExamCompTIAのCY0-001認定試験は全てのIT職員にとって大変重要な試験です。この試験に受かったら、あなたは絶対職場に廃れられることはありません。しかも、昇進と高給も実現できます。CompTIAのCY0-001試験に受かったら成功への鍵を握ったと言った人もいます。これは間違いないです。Tech4ExamのCompTIAのCY0-001試験トレーニング資料はあなたが成功へのショートカットです。このトレーニング資料を持っていたら、成功への道を見つけます。 CompTIA SecAI+ Certification Exam 認定 CY0-001 試験問題 (Q47-Q52):質問 # 47
A team of data scientists is ready to release a model for enterprise use. The team wants to protect the model from unintentional changes or tampering. Which of the following is the most appropriate action?
A. Provide secure copies of the model for local runtime usage.
B. Integrate an application programming interface (API) with identity and access management (IAM) roles to interact with the model.
C. Restrict access to only IT professionals in the organization.
D. Change the model to a large language model (LLM) for interactive features with guardrails.
正解：B
解説：
Protecting the model from tampering requires controlled and auditable access. By integrating the model with an API secured by IAM roles, only authenticated and authorized users or systems can interact with it, ensuring integrity and preventing unauthorized changes.
質問 # 48
Which tool prevents unauthorized system file modifications?
A. NIDS
B. File Integrity Monitoring (FIM)
C. WAF
D. Containerization
正解：B
解説：
FIM detects changes to critical system files.
質問 # 49
Which of the following helps in managing potential security issues related to model training?
A. Organization for Economic Co-operation and Development (OECD)
B. National Institute of Standards and Technology (NIST) AI Risk Management Framework (RMF)
C. International Organization for Standardization (ISO) 27001
D. General Data Protection Regulation (GDPR)
正解：B
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 # 50
Which of the following responsible AI standards refers to a principle that clearly states the reasons behind the decisions for a particular conclusion?
A. Explainability
B. Auditability
C. Transparency
D. Accountability
正解：A
解説：
Explainability is the responsible AI principle that ensures AI systems can provide clear reasoning for their decisions, allowing users to understand how and why a particular conclusion was reached.
質問 # 51
A social media company with more than a million lines of code wants to reduce the mean time to fix bugs and issues. Which of the following is the most balanced AI strategy to automate the vulnerability management flow?
A. Having security analysts triage discovered issues and create tickets, but having a software engineer merge software
B. Using AI to triage discovered issues and create tickets, but having a software engineer merge software
C. Having security analysts triage discovered issues and create tickets, but using AI to merge software
D. Using AI to triage discovered issues, create tickets, and merge software fixes
正解：B
解説：
This approach balances automation and human oversight. AI accelerates vulnerability management by triaging issues and generating tickets, while software engineers retain responsibility for merging code changes, ensuring quality and reducing the risk of insecure or unstable code being deployed.