We're so confident of our products that we provide no hassle product exchange.
UiPath UiPath-AAAv1 Exam Overview:
| Certification Vendor: | UiPath |
| Exam Name: | UiPath Certified Professional Agentic Automation Associate (UiAAA) |
| Exam Number: | UiPath-AAAv1 |
| Certificate Validity Period: | 3 years |
| Related Certifications: | UiPath Certified Professional Agentic Automation Professional |
| Exam Price: | $150 USD |
| Exam Format: | Multiple choice, Multiple response, Scenario-based |
| Passing Score: | 70% |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Real Exam Qty: | 40–60 |
| Recommended Training: | Agentic Automation Associate Training |
| Exam Registration: | Pearson VUE |
| Sample Questions: | UiPath UiPath-AAAv1 Sample Questions |
| Exam Way: | Online proctored or onsite test center |
| Pre Condition: | No official prerequisites |
| Official Syllabus URL: | https://academy.uipath.com/certifications/agentic-automation-associate |
UiPath UiPath-AAAv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Context & Knowledge Management | 20% | - Data sources and retrieval methods - Context packages and grounding - Knowledge base integration |
| Orchestration & Human-in-the-Loop | 20% | - UiPath Maestro and BPMN modeling - Escalations and Action Center - Service tasks and agent invocation |
| Agent Design & Development | 25% | - Agent Builder in Studio Web - Tools, connections and integration services - Prompt engineering best practices |
| Governance, Evaluation & Trust | 15% | - Observability and reliability - Agent performance evaluation - Guardrails and responsible AI |
| Agentic Automation Fundamentals | 20% | - Core principles of agentic automation - AI, LLM and generative AI concepts - Agents vs traditional robots |
UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:
1. When is it appropriate to rely on Clipboard AI inside Autopilot for Everyone for a copy-and-paste task?
A) When you plan to paste several different tables in succession during the same chat and expect Autopilot for Everyone to queue each paste automatically.
B) Whenever you need to paste any content regardless of operating system, file type, or the number of pastes.
C) When you are using macOS and want Autopilot for Everyone to perform a copy and paste on a Linux VM.
D) When you are working on a Windows machine and need to perform a single AI-powered paste of a table (for example, from a PDF) into another application directly from the chat interface.
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 unlabeled prompts followed by ranked categories:
Classify this. "Need update on report." - [1] Urgent [2] Normal [3] Spam
B) Include three random emails and let the LLM guess the intent.
C) Show one example and leave the label blank for inference.
D) Use examples such as:
Input: "Please address this issue immediately, server is down!" Output: "Urgent"
3. What is one of the key benefits of providing RAG as a service to UiPath generative AI experiences?
A) It reduces the risk of hallucination by referencing ground truth data stores.
B) It exclusively provides access to historical data sources without supporting real-time updates.
C) It eliminates the need for knowledge bases by integrating all proprietary data directly into generative applications.
D) It directly increases the LLM context window size without any interaction with knowledge bases.
4. Why is mapping processes a critical step in identifying opportunities for agentic automation?
A) It assumes mapping processes is sufficient to complete automation implementation without considering task dependencies or broader workflows.
B) It allows pinpointing specific steps or sub-tasks within a workflow that could be automated, improving efficiency and reducing errors.
C) It prioritizes identifying potential ROI metrics before establishing specific process mapping, potentially overlooking optimization areas.
D) It examines broader workflows without focusing on individual steps, missing granular opportunities for automation.
5. 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) Agentic AI designs campaign materials, while generative AI handles customer queries in real-time.
C) Both generative AI and agentic AI collaborate to create promotional materials.
D) Generative AI focuses on improving customer sentiment analysis, while agentic AI refines campaign content.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A |
By Yvonne
