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UiPath UiPath-AAAv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance, Evaluation & Trust | 15% | - Agent performance evaluation - Guardrails and responsible AI - Observability and reliability |
| Topic 2: Context & Knowledge Management | 20% | - Context packages and grounding - Knowledge base integration - Data sources and retrieval methods |
| Topic 3: Orchestration & Human-in-the-Loop | 20% | - UiPath Maestro and BPMN modeling - Escalations and Action Center - Service tasks and agent invocation |
| Topic 4: Agent Design & Development | 25% | - Tools, connections and integration services - Prompt engineering best practices - Agent Builder in Studio Web |
| Topic 5: Agentic Automation Fundamentals | 20% | - Agents vs traditional robots - Core principles of agentic automation - AI, LLM and generative AI concepts |
UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:
1. Which similarity search function is leveraged when Context Grounding is used by UiPath Products like Agents?
A) Cosine similarity search
B) Sigmoid similarity search
C) Softmax similarity search
D) ReLu similarity search
2. 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) Deterministic evaluation using a checklist of key phrases.
B) Evaluation using a character count threshold to assess message quality.
C) Random sampling with A/B testing.
D) Model-graded evaluation to capture nuanced style and relevance.
3. A team is designing an agent to convert plain text meeting notes into a formatted agenda (e.g., structured bullet points). Despite providing a few example transformations in the prompt, the agent generates agendas in inconsistent formats. What critical step was likely overlooked?
A) Including constraints to limit the length of the agenda for simplicity.
B) Adding randomized formatting examples to test the agent's creativity.
C) Adding clear instructions detailing the output format.
D) Providing only examples without additional context about the task.
4. While configuring an Integration Service activity as a tool for your agent in Studio Web, how should you set up the activity so the agent can decide the value of a required field (e.g. Channel Id) at runtime based solely on instructions in the prompt?
A) Leave the field's input method on Prompt (the default) and keep or refine the tool description; this lets the agent infer the value during execution.
B) Declare the field as an output argument in Data Manager so the agent can feed a value back into the tool.
C) Change every field, including Channel Id, to Variable because an agent cannot infer any field values without explicit arguments.
D) Change every field, including Channel Id, to Argument because an agent cannot infer any field values without explicit arguments.
5. Why would you choose the Argument input method for an activity field?
A) Applies one constant value you enter during design every time the agent executes the activity.
B) Receives a runtime value from an agent input argument defined earlier in the workflow.
C) Prompts a person to supply the value each time the field is evaluated at runtime.
D) Lets the agent infer the field value at runtime using the Description and its reasoning.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: B |







