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UiPath UiPath-AAAv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Agent Blueprint Design | - Designing Intelligent Agents
|
| Topic 2: Agentic AI and Automation Concepts | - Foundations of Agentic Automation
|
| Topic 3: Prompt Engineering | - Prompt Design Techniques
|
| Topic 4: Agentic Discovery | - Identifying Automation Opportunities
|
| Topic 5: Agentic Evaluations | - Evaluation and Optimization
|
| Topic 6: Context Grounding and Escalations | - Enterprise-Ready Agent Design
|
UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:
1. What is the main purpose of using a context grounding strategy with an ECS Index in Agents designer canvas in Studio Web?
A) To keep the ECS Index stored in a shared Orchestrator folder.
B) To retrieve data based on the user's current session or inputs.
C) To define static rules for retrieving data from the index.
D) To limit the number of results retrieved from the ECS Index.
2. A company is integrating an Agent into its customer support workflow to detect sentiment and classify complaints (e.g., "Billing issue", "Product defect"). However, the Agent's responses often miss subtle emotional cues like frustration or urgency. What change to the prompt design would most improve the quality of sentiment detection?
A) Remove detailed task instructions to give the Agent more freedom in interpreting customer messages.
B) Focus only on complaint categorization and rely on post-processing to handle emotional nuance.
C) Provide vague constraints in an emotional tone.
D) Include explicit context explaining the goal of sentiment analysis and define constraints for identifying urgency.
3. Why is an agent story important in the development life-cycle?
A) A good agent story helps the developers who will build the agent to focus on the essential features that deliver value
B) A detailed agent story is only necessary when showcasing the agent's functionality to key stakeholders, rather than guiding the development process
C) A poorly defined agent story enables developers to identify improvement opportunities
D) An unclear agent story helps SMEs and stakeholders understand the potential risks associated with the agent
4. An agent uses Web Search, Slack integration, and a custom process to resolve IT support tickets. The agent must:
* Retrieve relevant troubleshooting steps from the web.
* Notify the user via Slack if a solution is found.
* Escalate unresolved tickets via a custom process.
Which evaluation strategy ensures comprehensive coverage while avoiding redundancy?
A) Create 30 evaluations for Slack notifications, 30 for web searches, and 30 for escalation processes.
B) Group evaluations into sets: Valid web results triggering Slack notifications, Invalid web results triggering escalations, Edge cases.
C) Create more than 30 evaluations for Slack notifications, more than 30 for web searches, and more than
30 for escalation processes.
D) Use random input sampling across all tools and rely on the default "LLM-as-a-Judge" assertion.
5. What are the primary benefits of Context Grounding when querying data across multiple documents?
A) Context Grounding understands relationships between data points across documents, enabling tasks like summarization, data comparison, and retrieval of highly relevant information.
B) Context Grounding is limited to querying within a single document at a time.
C) Context Grounding requires manual intervention for identifying connections between data points across documents.
D) Context Grounding only extracts random sentences without contextual understanding.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A |





