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UiPath UiPath-AAAv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Agent Design & Development | 25% | - Agent Builder in Studio Web
- Tools, connections and integration services
- Prompt engineering best practices
|
| Context & Knowledge Management | 20% | - Data sources and retrieval methods
- Context packages and grounding
- Knowledge base integration
|
| Agentic Automation Fundamentals | 20% | - AI, LLM and generative AI concepts
- Core principles of agentic automation
- Agents vs traditional robots
|
| Orchestration & Human-in-the-Loop | 20% | - Service tasks and agent invocation
- Escalations and Action Center
- UiPath Maestro and BPMN modeling
|
| Governance, Evaluation & Trust | 15% | - Guardrails and responsible AI
- Observability and reliability
- Agent performance evaluation
|
UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:
1. When you want a connector field value to be inferred dynamically at run time, which input method should you select in the activity tool?
A) Clear value
B) Static value
C) Argument
D) Prompt
2. What configuration options are available for setting up Context Grounding in UiPath?
A) You can configure Context Grounding by creating indexes in Orchestrator, managing folder-level permissions, selecting an LLM from the LLM Gateway, and syncing data using the Update Context Grounding Index activity.
B) Configuration is limited to enabling Context Grounding without any integration with Orchestrator or folder permissions.
C) Context Grounding requires default settings without any options for index creation or LLM selection.
D) Context Grounding setup relies entirely on manual indexing and lacks automated sync capabilities.
3. Why is it essential to provide a focused description and usage guidance when adding a tool for an agent?
A) It allows agents to execute all types of actions automatically, including Context Grounding and Escalations.
B) It limits the agent's actions to only those explicitly allowed by the user prompt, preventing incorrect reasoning.
C) It guarantees that agents can access and modify any business application data, even without tool integration.
D) It ensures the agent understands the tool's purpose and can use it effectively in relevant scenarios.
4. When passing runtime data into an Agent, which approach ensures the input argument is actually available inside the user prompt at execution time?
A) Create the argument in Data Manager and reference it verbatim inside double curly braces, e.g.,
{{CUSTOMER_EMAIL}}, so the name matches exactly.
B) Declare the argument in the system prompt; any text surrounded by angle brackets (e.g.,
<CUSTOMER_EMAIL>) will be substituted automatically.
C) Simply mention the variable name in plain prose-the Agent will infer the value from the workflow without special syntax.
D) Use single braces like {CUSTOMER_EMAIL}, because the platform automatically normalizes the identifier.
5. What is a key feature of zero-shot prompting?
A) It ensures the model has been fine-tuned for all tasks it encounters.
B) It requires at least one example in the prompt for efficient completion.
C) The model performs tasks without prior examples or training specific to the request.
D) This is necessary for complex or nuanced scenarios.
Solutions:
Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: C |