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UiPath UiPath-AAAv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Agentic Evaluations | - Evaluation and Optimization
|
| Topic 2: Prompt Engineering | - Prompt Design Techniques
|
| Topic 3: Agent Blueprint Design | - Designing Intelligent Agents
|
| Topic 4: Context Grounding and Escalations | - Enterprise-Ready Agent Design
|
| Topic 5: Agentic AI and Automation Concepts | - Foundations of Agentic Automation
|
| Topic 6: Agentic Discovery | - Identifying Automation Opportunities
|
UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:
1. When passing runtime data into an Agent, which approach ensures the input argument is actually available inside the user prompt at execution time?
A) Declare the argument in the system prompt; any text surrounded by angle brackets (e.g.,
<CUSTOMER_EMAIL>) will be substituted automatically.
B) Use single braces like {CUSTOMER_EMAIL}, because the platform automatically normalizes the identifier.
C) Simply mention the variable name in plain prose-the Agent will infer the value from the workflow without special syntax.
D) Create the argument in Data Manager and reference it verbatim inside double curly braces, e.g.,
{{CUSTOMER_EMAIL}}, so the name matches exactly.
2. Which similarity search function is leveraged when Context Grounding is used by UiPath Products like Agents?
A) Softmax similarity search
B) Sigmoid similarity search
C) Cosine similarity search
D) ReLu similarity search
3. A developer is implementing a few-shot structured prompt for an email classification task. The prompt includes examples of email subjects labeled with their respective classifications, such as "Spam" or "Work." What is the most important aspect to consider when selecting examples for the prompt?
A) Always use more than 10 examples, regardless of task complexity.
B) Include examples with intentionally incorrect labels to improve training.
C) Choose examples that are diverse, relevant, and typical of the task's expected input.
D) Use random and unrelated examples to test the prompt's robustness.
4. What is a System Prompt?
A) A System Prompt defines only the agent's constraints but does not address goal-setting or sequencing steps.
B) A System Prompt is a predefined list of actions and commands the agent strictly follows without adaptation or interaction over time.
C) A System Prompt allows a user to describe its role, goals, and constraints while specifying rules and guidelines for actions, including the use of tools, escalations, and context.
D) A System Prompt is a technical script integrated into the automation process that determines tool usage and escalation protocols without considering natural language descriptions.
5. A team is building an AI agent that drafts personalized marketing emails. The quality of the drafts depends on tone, alignment with brand voice, and personalization. What evaluation approach is best?
A) Model-graded evaluation to capture nuanced style and relevance.
B) Random sampling with A/B testing.
C) Evaluation using a character count threshold to assess message quality.
D) Deterministic evaluation using a checklist of key phrases.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: A |








