UiPath Certified Professional - General Track UiPath-AAAv1

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Simulation test system

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

1. When configuring escalations for an agent, what is a key step to ensure the agent knows when to use the escalation during execution?

A) Directly assign an escalation recipient to ensure proper routing, which eliminates the need for agent- specific prompts in the escalation logic.
B) Configure escalation behavior entirely within the outcome behavior section, specifying how each resolution should be handled.
C) Utilize required fields in the inputs section of the escalation to define conditions for triggering escalations dynamically.
D) Add a prompt in the properties panel to help the agent determine the appropriate circumstances for using the escalation.

2. Why is it important to include examples in prompts?

A) Including examples should only focus on edge cases while ignoring typical scenarios for better variety in results.
B) Examples should be omitted to allow the AI to create responses entirely from general knowledge without guidance.
C) Carefully chosen examples help guide the agent and improve its ability to generalize across different scenarios.
D) Including examples guarantees output accuracy without any need for further adjustments or refinements.

3. 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) Include three random emails and let the LLM guess the intent.
D) Use examples such as:
Input: "Please address this issue immediately, server is down!" Output: "Urgent"

4. Which similarity search function is leveraged when Context Grounding is used by UiPath Products like Agents?

A) Cosine similarity search
B) ReLu similarity search
C) Sigmoid similarity search
D) Softmax similarity search

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 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.
C) It changes the number of chunks returned, impacting both the size of the grounding payload and the filtering of relevant information.
D) 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.

Solutions: