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UiPath UiPath-AAAv1 Exam Syllabus Topics:

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

1. What are the characteristics of an agentic story within the 'Do later' quadrant in the impact and feasibility matrix?

A) Low feasibility and Low Impact
B) Low feasibility and High Impact
C) High feasibility and Low Impact
D) High feasibility and High Impact

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

3. What is the defining characteristic of few-shot prompting?

A) It links multiple prompts together in a sequential workflow.
B) It requires the model to generate a response with no examples or instructions.
C) It relies on intermediate reasoning steps to guide the model's response.
D) It uses several examples to help the model understand the task better.

4. A company launches a marketing campaign powered by generative AI and agentic AI technologies. What best describes how their roles differ?

A) Generative AI produces outputs like text or images, while agentic AI focuses on intelligent automation, decision-making, and dynamic task execution.
B) Both generative AI and agentic AI collaborate to create promotional materials.
C) Generative AI focuses on improving customer sentiment analysis, while agentic AI refines campaign content.
D) Agentic AI designs campaign materials, while generative AI handles customer queries in real-time.

5. An agent uses Web Search, Slack integration, and a custom process to resolve IT support tickets. The agent must:
* Retrieve relevant troubleshooting steps from the web.
* Notify the user via Slack if a solution is found.
* Escalate unresolved tickets via a custom process.
Which evaluation strategy ensures comprehensive coverage while avoiding redundancy?

A) Group evaluations into sets: Valid web results triggering Slack notifications, Invalid web results triggering escalations, Edge cases.
B) Create more than 30 evaluations for Slack notifications, more than 30 for web searches, and more than
30 for escalation processes.
C) Use random input sampling across all tools and rely on the default "LLM-as-a-Judge" assertion.
D) Create 30 evaluations for Slack notifications, 30 for web searches, and 30 for escalation processes.

Solutions: