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| Section | Objectives |
|---|---|
| Context Grounding and Escalations | - Enterprise-Ready Agent Design
|
| Agentic AI and Automation Concepts | - Foundations of Agentic Automation
|
| Agentic Evaluations | - Evaluation and Optimization
|
| Prompt Engineering | - Prompt Design Techniques
|
| Agent Blueprint Design | - Designing Intelligent Agents
|
| Agentic Discovery | - Identifying Automation Opportunities
|
1. A team is building an AI agent that drafts personalized marketing emails. The quality of the drafts depends on tone, alignment with brand voice, and personalization. What evaluation approach is best?
A) Model-graded evaluation to capture nuanced style and relevance.
B) Evaluation using a character count threshold to assess message quality.
C) Deterministic evaluation using a checklist of key phrases.
D) Random sampling with A/B testing.
2. A developer is implementing a few-shot structured prompt for an email classification task. The prompt includes examples of email subjects labeled with their respective classifications, such as "Spam" or "Work." What is the most important aspect to consider when selecting examples for the prompt?
A) Include examples with intentionally incorrect labels to improve training.
B) Use random and unrelated examples to test the prompt's robustness.
C) Choose examples that are diverse, relevant, and typical of the task's expected input.
D) Always use more than 10 examples, regardless of task complexity.
3. Which of the following is an essential aspect of crafting a comprehensive agent story during the validation stage?
A) Understanding the daily pain points and inefficiencies of the selected role to identify tasks that consume unnecessary time and potential gains from agent intervention.
B) Starting immediately with agent behavior prototyping using tools like the Agents designer canvas in Studio Web without assessing mapped automations or impacted systems.
C) Generalizing automation opportunities across all processes and roles without tailoring solutions based on specific personas or organizational contexts.
D) Brainstorming automation use cases without validating personas or critically evaluating existing processes, focusing purely on agent capabilities.
4. What is a System Prompt?
A) A System Prompt defines only the agent's constraints but does not address goal-setting or sequencing steps.
B) A System Prompt is a predefined list of actions and commands the agent strictly follows without adaptation or interaction over time.
C) A System Prompt is a technical script integrated into the automation process that determines tool usage and escalation protocols without considering natural language descriptions.
D) A System Prompt allows a user to describe its role, goals, and constraints while specifying rules and guidelines for actions, including the use of tools, escalations, and context.
5. Why is it essential to provide a focused description and usage guidance when adding a tool for an agent?
A) It guarantees that agents can access and modify any business application data, even without tool integration.
B) It limits the agent's actions to only those explicitly allowed by the user prompt, preventing incorrect reasoning.
C) It allows agents to execute all types of actions automatically, including Context Grounding and Escalations.
D) It ensures the agent understands the tool's purpose and can use it effectively in relevant scenarios.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: D |
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