SISA CSPAI考古題,CSPAI考試題庫
VCESoft的經驗豐富的專家團隊開發出了針對SISA CSPAI 認證考試的有效的培訓計畫,很適合參加SISA CSPAI 認證考試的考生。VCESoft為你提供的都是高品質的產品,可以讓你參加SISA CSPAI 認證考試之前做模擬考試,可以為你參加考試做最好的準備。
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快速下載的CSPAI考古題,最有效的考試題庫幫助妳輕松通過CSPAI考試
手上能拿到一些實用的認證證書,無疑為自己的就業開拓了一番新的領土和創造了一些機會。CSPAI 是全球最大的網絡設備公司 SISA 公司的認可的初級技術認證,在整個 SISA 認證體系中處于售前規劃方向的基礎證書,有了CSPAI 認證你的平均年薪將不低于10萬人民幣。雖然獲取 CSPAI 認證需要投入額外的時間與金錢,但事實證明IT認證的投入產出是值得的,對於未來的職業發展非常有利。
SISA CSPAI 考試大綱:
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最新的 Cyber Security for AI CSPAI 免費考試真題 (Q47-Q52):
問題 #47
What is a common use of an LLM as a Secondary Chatbot?
答案:D
解題說明:
A secondary chatbot, powered by an LLM, acts as a fallback or supplementary assistant, handling complex or overflow queries when the primary system is insufficient. This enhances CX by ensuring continuity and depth in responses, with security benefits like isolating sensitive tasks to a monitored secondary layer. Unlike replacing primary systems or handling unrelated tasks, this role leverages LLMs' flexibility to complement, not supplant, core functionalities. Exact extract: "LLMs as secondary chatbots serve as fallback assistants for complex queries, improving system resilience and user experience." (Reference: Cyber Security for AI by SISA Study Guide, Section on AI in Support Systems, Page 80-82).
問題 #48
What does the OCTAVE model emphasize in GenAI risk assessment?
答案:D
解題說明:
OCTAVE adapts to GenAI by emphasizing organizational risk perspectives, identifying critical assets like models and data, evaluating threats, and prioritizing mitigations through stakeholder collaboration. It fosters a strategic, enterprise-wide approach to AI risks, integrating business impacts. Exact extract: "OCTAVE emphasizes operational critical threat, asset, and vulnerability evaluation in GenAI risk assessment." (Reference: Cyber Security for AI by SISA Study Guide, Section on OCTAVE for AI, Page 255-258).
問題 #49
In line with the US Executive Order on AI, a company's AI application has encountered a security vulnerability. What should be prioritized to align with the order's expectations?
答案:B
解題說明:
The US Executive Order on AI emphasizes proactive risk management and robust security to ensure safe AI deployment. When a vulnerability is detected, rapid response to remediate it, coupled with a thorough review of security practices, aligns with these mandates by minimizing harm and preventing recurrence. This approach involves patching the issue, assessing root causes, and updating protocols to strengthen defenses, ensuring compliance with standards like ISO 42001, which prioritizes risk mitigation in AI systems. Public disclosure, while important, is secondary to remediation to avoid premature exposure, and halting projects is overly disruptive unless risks are critical. Ignoring vulnerabilities contradicts responsible AI principles, risking regulatory penalties and trust erosion. This strategy fosters accountability and aligns with governance frameworks for secure AI operations. Exact extract: "Addressing vulnerabilities promptly through remediation and reviewing security practices is prioritized to meet the US Executive Order's expectations for safe and secure AI systems." (Reference: Cyber Security for AI by SISA Study Guide, Section on AI Governance and US EO Compliance, Page 165-168).
問題 #50
Which framework is commonly used to assess risks in Generative AI systems according to NIST?
答案:B
解題說明:
The NIST AI Risk Management Framework (AI RMF) provides a structured approach to identify, assess, and mitigate risks in GenAI, emphasizing trustworthiness attributes like safety, fairness, and explainability. It categorizes risks into governance, mapping, measurement, and management phases, tailored for AI lifecycles.
For GenAI, it addresses unique risks such as hallucinations or bias amplification. Organizations apply it to conduct impact assessments and implement controls, ensuring compliance and ethical deployment. Exact extract: "NIST's AI RMF is commonly used to assess risks in Generative AI, focusing on trustworthiness and lifecycle management." (Reference: Cyber Security for AI by SISA Study Guide, Section on NIST Frameworks for AI Risk, Page 230-233).
問題 #51
In a Retrieval-Augmented Generation (RAG) system, which key step is crucial for ensuring that the generated response is contextually accurate and relevant to the user's question?
答案:C
解題說明:
In RAG systems, retrieving relevant information from a vector database before generation is pivotal, as it grounds responses in verified, contextually aligned data. Using embeddings and similarity metrics, the system fetches documents matching the query's intent, ensuring accuracy and relevance. While diverse sources or feedback aid long-term improvement, the retrieval step directly drives contextual fidelity, streamlining SDLC by modularizing data access. Exact extract: "Retrieving relevant information from the vector database is crucial for ensuring contextually accurate responses in RAG systems." (Reference: Cyber Security for AI by SISA Study Guide, Section on RAG Optimization, Page 120-123).
問題 #52
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CSPAI考試題庫: https://www.vcesoft.com/CSPAI-pdf.html