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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 limit the number of results retrieved from the ECS Index.
C) To define static rules for retrieving data from the index.
D) To retrieve data based on the user's current session or inputs.
2. What is a key feature of zero-shot prompting?
A) This is necessary for complex or nuanced scenarios.
B) The model performs tasks without prior examples or training specific to the request.
C) It requires at least one example in the prompt for efficient completion.
D) It ensures the model has been fine-tuned for all tasks it encounters.
3. For what primary reason should you supply a description for every input and output argument in an agent?
A) Clear descriptions help the agent understand how to use each argument effectively while generating or returning results.
B) Adding descriptions forces Studio Web to treat all arguments as mandatory fields that block deployment if left empty.
C) Argument descriptions are required only for input arguments; output arguments are inherently self- explanatory and do not benefit from them.
D) Descriptions cause Orchestrator triggers to pre-populate the arguments automatically, eliminating manual mapping.
4. What is the defining characteristic of few-shot prompting?
A) It links multiple prompts together in a sequential workflow.
B) It uses several examples to help the model understand the task better.
C) It relies on intermediate reasoning steps to guide the model's response.
D) It requires the model to generate a response with no examples or instructions.
5. Which statement best describes UiPath Maestro's capability for deploying AI agents within a BPMN-modeled process?
A) Maestro embeds external agents as inline code scripts inside the BPMN file and relies on each provider's runtime instead of Maestro's orchestration engine.
B) Maestro deploys agents from UiPath and external providers-such as LangChain, CrewAI, or Agentforce-through one consistent framework that includes human-in-the-loop orchestration.
C) Maestro deploys only UiPath-built agents in robot-driven processes; any third-party agents must be integrated through external platforms without human checkpoints.
D) Maestro is a workflow engine similar to UiPath Studio, but it only allows you to invoke Agentic and Integration tasks.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: B |








