최신NVIDIA Agentic AI - NCP-AAI무료샘플문제
문제1
Your deployed legal assistant shows great performance but occasionally repeats incorrect legal terms.
Which tuning method best improves factual reliability?
Your deployed legal assistant shows great performance but occasionally repeats incorrect legal terms.
Which tuning method best improves factual reliability?
정답: A
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문제2
What is a key limitation of Chain-of-Thought (CoT) prompting when using smaller language models for reasoning tasks?
What is a key limitation of Chain-of-Thought (CoT) prompting when using smaller language models for reasoning tasks?
정답: B
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문제3
A health assistant agent has been running on production environment for several weeks. The compliance team wants to audit how personal health data has been processed.
Which operational feature supports this requirement?
A health assistant agent has been running on production environment for several weeks. The compliance team wants to audit how personal health data has been processed.
Which operational feature supports this requirement?
정답: D
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문제4
A financial services company is deploying a multi-agent customer service system consisting of three specialized agents: a reasoning LLM for complex queries, an embedding agent for document retrieval, and a re-ranking agent for result optimization. The system experiences significant traffic variations, with peak loads during business hours (10x normal traffic) and minimal usage overnight. The company needs a deployment solution that can handle these fluctuations cost-effectively while maintaining sub-second response times during peak periods.
Which NVIDIA infrastructure approach would provide the MOST cost-effective and scalable deployment solution for this variable-load multi-agent system?
A financial services company is deploying a multi-agent customer service system consisting of three specialized agents: a reasoning LLM for complex queries, an embedding agent for document retrieval, and a re-ranking agent for result optimization. The system experiences significant traffic variations, with peak loads during business hours (10x normal traffic) and minimal usage overnight. The company needs a deployment solution that can handle these fluctuations cost-effectively while maintaining sub-second response times during peak periods.
Which NVIDIA infrastructure approach would provide the MOST cost-effective and scalable deployment solution for this variable-load multi-agent system?
정답: B
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문제5
A technology startup is preparing to launch an AI agent platform to serve clients with unpredictable usage patterns. They face periods of high user activity and low demand, so their deployment approach must minimize wasted resources during slow times and automatically allocate more resources during busy periods
- all while keeping operational costs reasonable.
Given these requirements, which deployment strategy most effectively ensures both cost-effectiveness and adaptability for scaling agentic AI systems?
A technology startup is preparing to launch an AI agent platform to serve clients with unpredictable usage patterns. They face periods of high user activity and low demand, so their deployment approach must minimize wasted resources during slow times and automatically allocate more resources during busy periods
- all while keeping operational costs reasonable.
Given these requirements, which deployment strategy most effectively ensures both cost-effectiveness and adaptability for scaling agentic AI systems?
정답: A
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문제6
You are rolling out a multimodal conversational agent on NVIDIA's stack: the model is containerized as a TensorRT-LLM engine, served via Triton Inference Server behind NIM microservices for routing and scaling, and protected by NeMo Guardrails for safety and compliance. During early testing, end-to-end latency exceeds your target budget, and you need to tune batching, model precision, and guardrail checks while maintaining both throughput and enforcement of safety policies.
Which configuration change is most effective for reducing latency under these constraints while still enforcing NeMo Guardrails policies?
You are rolling out a multimodal conversational agent on NVIDIA's stack: the model is containerized as a TensorRT-LLM engine, served via Triton Inference Server behind NIM microservices for routing and scaling, and protected by NeMo Guardrails for safety and compliance. During early testing, end-to-end latency exceeds your target budget, and you need to tune batching, model precision, and guardrail checks while maintaining both throughput and enforcement of safety policies.
Which configuration change is most effective for reducing latency under these constraints while still enforcing NeMo Guardrails policies?
정답: A
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문제7
When evaluating an agent's degrading response times under increasing load, which analysis approach most effectively identifies scalability bottlenecks and optimization opportunities?
When evaluating an agent's degrading response times under increasing load, which analysis approach most effectively identifies scalability bottlenecks and optimization opportunities?
정답: D
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문제8
When analyzing a customer service agentic system's performance degradation over time, which evaluation approach most effectively identifies opportunities for human-in-the-loop intervention to improve agent decision-making transparency and user trust?
When analyzing a customer service agentic system's performance degradation over time, which evaluation approach most effectively identifies opportunities for human-in-the-loop intervention to improve agent decision-making transparency and user trust?
정답: D
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문제9
This question addresses important concerns in the field of AI ethics and compliance, particularly as organizations develop more autonomous AI agents. Implementing effective guardrails against bias, ensuring data privacy, and adhering to regulations are essential components of responsible AI development.
Which of the following statements accurately describes how RAGAS (Retrieval Augmented Generation Assessment) can be utilized for implementing safety checks and guardrails in agentic AI applications?
This question addresses important concerns in the field of AI ethics and compliance, particularly as organizations develop more autonomous AI agents. Implementing effective guardrails against bias, ensuring data privacy, and adhering to regulations are essential components of responsible AI development.
Which of the following statements accurately describes how RAGAS (Retrieval Augmented Generation Assessment) can be utilized for implementing safety checks and guardrails in agentic AI applications?
정답: C
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