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UiPath UiPath-AAAv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Agentic Evaluations & Governance | - Guardrails and validation logic - LLM-as-a-judge metrics |
| Autopilot for Everyone | - Use cases and capabilities - AI-assisted automation building |
| Agent Discovery & Process Assessment | - Identifying automation opportunities - Process suitability for agentic automation |
| Agent Blueprint Design | - Workflow decomposition - Agent architecture design |
| Context Grounding (RAG) | - Data grounding strategies - Retrieval-Augmented Generation concepts |
| Agentic AI Fundamentals | - AI agents vs rule-based automation - Agentic automation concepts |
| Escalations & Human-in-the-Loop | - Exception handling and escalation patterns - Action Center workflows |
| Agentic Orchestration (Maestro) | - Workflow orchestration with agents - BPMN-based process design |
| Prompt Engineering for Agents | - System prompts and constraints - Zero-shot and few-shot prompting |
| UiPath Platform Components | - Agent Builder and Orchestrator basics - Studio Web and Autopilot |
UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:
A business is looking to automate its workflows and has both structured, repetitive tasks (like data entry) and unstructured, exception-heavy processes (such as responding to diverse customer queries). How should they combine agents and robots (RPA) to achieve optimal automation results?
- A. Use agents for the structured, repetitive tasks, as they can follow deterministic rules efficiently while robots (RPA) handle unstructured workflows requiring adaptability, decision-making capabilities and contextual awareness.
- B. Use agents exclusively, as they can cover both structured workflows and dynamic environments due to their probabilistic and adaptive nature.
- C. Use robots (RPA) for the structured, repetitive tasks, leveraging their rule-based approach for reliability and precision, while agents handle the unstructured processes by using their adaptive decision-making capabilities.
- D. Use robots (RPA) exclusively, as they are capable of adapting to dynamic workflows with exception handling and learning capabilities.
Correct Answer: C 🗳️
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In a UiPath Agent, which statement best captures the essential purpose of a system prompt?
- A. It is used only to preload enterprise context and never influences the agent's decision to call tools.
- B. It must enumerate every possible dialogue path the agent could encounter so the model can simply pick a preset answer.
- C. It mainly lists output-formatting tags the agent must include, leaving role and goal definition to the user prompt.
- D. It declares the agent's role, overall goal, and operating constraints, and tells the agent when to invoke tools or escalate tasks to a human reviewer.
Correct Answer: D 🗳️
Explanation: Only visible for ValidExam members. You can sign-up / login (it's free).
When configuring escalations for an agent, what is a key step to ensure the agent knows when to use the escalation during execution?
- A. Add a prompt in the properties panel to help the agent determine the appropriate circumstances for using the escalation.
- B. Directly assign an escalation recipient to ensure proper routing, which eliminates the need for agent- specific prompts in the escalation logic.
- C. Utilize required fields in the inputs section of the escalation to define conditions for triggering escalations dynamically.
- D. Configure escalation behavior entirely within the outcome behavior section, specifying how each resolution should be handled.
Correct Answer: A 🗳️
Explanation: Only visible for ValidExam members. You can sign-up / login (it's free).
When passing runtime data into an Agent, which approach ensures the input argument is actually available inside the user prompt at execution time?
- A. Simply mention the variable name in plain prose-the Agent will infer the value from the workflow without special syntax.
- B. Use single braces like {CUSTOMER_EMAIL}, because the platform automatically normalizes the identifier.
- C. Declare the argument in the system prompt; any text surrounded by angle brackets (e.g.,
<CUSTOMER_EMAIL>) will be substituted automatically. - D. Create the argument in Data Manager and reference it verbatim inside double curly braces, e.g.,
{{CUSTOMER_EMAIL}}, so the name matches exactly.
Correct Answer: D 🗳️
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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. An unclear agent story helps SMEs and stakeholders understand the potential risks associated with the agent
- D. A poorly defined agent story enables developers to identify improvement opportunities
Correct Answer: A 🗳️
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