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UiPath UiPath-AAAv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Context & Knowledge Management | 20% | - Context packages and grounding - Knowledge base integration - Data sources and retrieval methods |
| Governance, Evaluation & Trust | 15% | - Observability and reliability - Guardrails and responsible AI - Agent performance evaluation |
| Agent Design & Development | 25% | - Prompt engineering best practices - Tools, connections and integration services - Agent Builder in Studio Web |
| Agentic Automation Fundamentals | 20% | - Agents vs traditional robots - AI, LLM and generative AI concepts - Core principles of agentic automation |
| Orchestration & Human-in-the-Loop | 20% | - Escalations and Action Center - UiPath Maestro and BPMN modeling - Service tasks and agent invocation |
UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:
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 prioritizes identifying potential ROI metrics before establishing specific process mapping, potentially overlooking optimization areas.
- C. It allows pinpointing specific steps or sub-tasks within a workflow that could be automated, improving efficiency and reducing errors.
- D. It examines broader workflows without focusing on individual steps, missing granular opportunities for automation.
Correct Answer: C 🗳️
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How does the impact and feasibility matrix assist in prioritizing agentic automation use cases?
- A. By focusing solely on high-impact use cases without considering whether implementing them is feasible with available resources.
- B. By identifying all feasible use cases without considering the potential impact or business benefit of implementing them.
- C. By prioritizing the automation of all processes regardless of their feasibility or actual impact on the organization.
- D. By evaluating use cases based on their potential business improvement and ease of implementation considering current resources and technology.
Correct Answer: D 🗳️
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Why is an agent story important in the development life-cycle?
- A. A poorly defined agent story enables developers to identify improvement opportunities
- B. A good agent story helps the developers who will build the agent to focus on the essential features that deliver value
- C. An unclear agent story helps SMEs and stakeholders understand the potential risks associated with the agent
- D. A detailed agent story is only necessary when showcasing the agent's functionality to key stakeholders, rather than guiding the development process
Correct Answer: B 🗳️
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A company launches a marketing campaign powered by generative AI and agentic AI technologies. What best describes how their roles differ?
- A. Generative AI focuses on improving customer sentiment analysis, while agentic AI refines campaign content.
- 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 produces outputs like text or images, while agentic AI focuses on intelligent automation, decision-making, and dynamic task execution.
Correct Answer: D 🗳️
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Which similarity search function is leveraged when Context Grounding is used by UiPath Products like Agents?
- A. Sigmoid similarity search
- B. Softmax similarity search
- C. Cosine similarity search
- D. ReLu similarity search
Correct Answer: C 🗳️
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