A customer service agent sometimes fails to complete multi-step workflows when APIs respond slowly or inconsistently.
Which approach most effectively increases robustness when working with unreliable APIs?

• A. Restrict available tools to reduce decision complexity
• B. Adjust generation parameters to produce more predictable responses
• C. Cache recent API results to limit unnecessary repeated calls
• D. Add retries with exponential backoff and set request timeouts

When implementing security measures for enterprise agentic systems using NVIDIA'S NeMo Guardrails, which approach provides the most comprehensive protection?

• A. Input sanitization at the user interface level
• B. User authentication and authorization controls
• C. Multi-layered guardrails with content moderation, output filtering, and behavioral monitoring
• D. Rule-based content filtering with predefined patterns

You're evaluating the performance of a tool-using agent (e.g., one that issues API calls or executes functions).
From the list below, what are two important features to evaluate? (Choose two.)

• A. Tool use rate
• B. Task completion rate
• C. Tokens per second
• D. Tool use accuracy

What is a key limitation of Chain-of-Thought (CoT) prompting when using smaller language models for reasoning tasks?

• A. CoT prompting consistently improves the logical accuracy of outputs for both small and large language models.
• B. CoT prompting ensures step-by-step outputs, enabling even small models to solve complex problems reliably.
• C. CoT prompting requires relatively large models; smaller models may produce reasoning chains that appear logical but are actually incorrect, leading to poorer performance.
• D. CoT prompting simplifies error analysis for small models, making it easy to identify and correct mistakes at each reasoning step.