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UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:

1. 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) Change every field, including Channel Id, to Variable because an agent cannot infer any field values without explicit arguments.
B) 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.
C) Change every field, including Channel Id, to Argument because an agent cannot infer any field values without explicit arguments.
D) Declare the field as an output argument in Data Manager so the agent can feed a value back into the tool.

2. What is a key feature of zero-shot prompting?

A) The model performs tasks without prior examples or training specific to the request.
B) It requires at least one example in the prompt for efficient completion.
C) It ensures the model has been fine-tuned for all tasks it encounters.
D) This is necessary for complex or nuanced scenarios.

3. 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 exclusively, as they can cover both structured workflows and dynamic environments due to their probabilistic and adaptive nature.
B) Use robots (RPA) exclusively, as they are capable of adapting to dynamic workflows with exception handling and learning capabilities.
C) 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.
D) 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.

4. You are building an agent that classifies incoming emails into one of three categories: Urgent, Normal, or Spam. You want to improve accuracy by using few-shot examples in a structured format. Which approach best supports this goal?

A) Use unlabeled prompts followed by ranked categories:
Classify this. "Need update on report." - [1] Urgent [2] Normal [3] Spam
B) Show one example and leave the label blank for inference.
C) Use examples such as:
Input: "Please address this issue immediately, server is down!" Output: "Urgent"
D) Include three random emails and let the LLM guess the intent.

5. How does adjusting the "Number of results" setting affect the agent's use of context from indexes?

A) It modifies the similarity threshold for chunk retrieval and lowers the number of tokens used.
B) It changes the number of chunks returned, impacting both the size of the grounding payload and the filtering of relevant information.
C) It makes the agent ignore all context completely, resulting in outputs that are entirely disconnected from the indexed data, regardless of its relevance to the query or prompt provided.
D) It selects which Orchestrator folder to use, determining the location of stored workflows and deciding which set of predefined rules will apply during data retrieval and processing.

Solutions: