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Agent Architecture and Design

Which architectural pattern is most suitable for an agentic AI system that needs to make decisions based on both real-time sensory data and long-term historical context?

A. Reactive architecture

B. Deliberative architecture

C. Hybrid (layered) architecture ✓

D. Behavior-based architecture

Explanation:

A hybrid (layered) architecture combines reactive and deliberative approaches, allowing the agent to respond quickly to immediate sensory input while also using planning and reasoning based on historical context. This makes it ideal for complex real-world applications requiring both reactive and deliberative capabilities.

Agent Development

When developing an AI agent using NVIDIA NeMo, which component is primarily responsible for managing the agent's interaction with external tools and APIs?

A. The model inference engine

B. The tool-calling framework ✓

C. The training pipeline

D. The data preprocessing module

Explanation:

The tool-calling framework in NeMo manages how agents interact with external tools and APIs, enabling them to extend their capabilities beyond the base language model. This includes parsing tool schemas, generating appropriate API calls, and handling responses from external services.

Cognition, Planning, and Memory

What is the primary advantage of using vector databases for agent memory systems?

A. Lower storage costs compared to traditional databases

B. Faster exact-match retrieval

C. Semantic similarity search capabilities ✓

D. Built-in data encryption features

Explanation:

Vector databases excel at semantic similarity search, allowing agents to retrieve relevant memories based on meaning rather than exact matches. This enables more contextual and intelligent decision-making by finding related past experiences even when the current situation differs in specific details.

Deployment and Scaling

Which NVIDIA technology is specifically designed to optimize the deployment and serving of AI agents at scale?

A. NVIDIA Modulus

B. NVIDIA Triton Inference Server ✓

C. NVIDIA RAPIDS

D. NVIDIA Clara

Explanation:

NVIDIA Triton Inference Server is designed specifically for deploying and serving AI models at scale, including agentic AI systems. It provides features like dynamic batching, model versioning, concurrent model execution, and support for multiple frameworks, making it ideal for production agent deployments.

Safety, Ethics, and Compliance

What is the most effective approach to prevent an AI agent from executing harmful actions in production environments?

A. Relying solely on prompt engineering

B. Implementing multi-layer safety guardrails including input validation, output filtering, and action verification ✓

C. Using only pre-trained models without fine-tuning

D. Limiting the agent to read-only operations

Explanation:

Multi-layer safety guardrails provide defense-in-depth by validating inputs, filtering outputs, and verifying actions before execution. This approach is more robust than any single safety measure and helps ensure agents operate safely even when facing unexpected scenarios or adversarial inputs.

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