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UiPath UiPath-AAPv1 : UiPath Agentic Automation Professional Exam

UiPath-AAPv1

Exam Code: UiPath-AAPv1

Exam Name: UiPath Agentic Automation Professional Exam

Updated: Nov 12, 2026

Q & A: 108 Questions and Answers

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UiPath UiPath-AAPv1 Exam Syllabus Topics:

SectionWeightObjectives
Agentic Discovery and Blueprint Design16%- Tool selection and evaluation criteria definition
- Agent story design and goal definition
- Process assessment and agent opportunity identification
- Prompt engineering and context specification
Agentic Evaluations and Agent Management16%- Assertions, scoring, and trace analysis
- Agent lifecycle management and deployment
- Deterministic vs model-graded evaluation
- Incident analysis and iterative improvement
- Evaluation dataset design and edge-case handling
Context Grounding and Escalations16%- Human-in-the-loop escalation architecture
- Action Apps and escalation SLA/routing design
- Grounding source configuration and indexing
- Context engineering best practices
- Retrieval strategies and ingestion management
Advanced Agent Implementation and Platform Integration18%- Coded Agents and conversational agents development
- Autopilot and AI-assisted development workflows
- Studio Web tools and Integration Service configuration
- UI Agent and ScreenPlay implementation
Governance, Observability, and Reliability17%- Guardrails, fallback logic, and risk controls
- Monitoring, observability, and Agent Scores
- Compliance, security, and responsible AI
- Governance policies and AI Trust Layer
Orchestration and Multi-Agent Processes17%- UiPath Maestro process modeling and BPMN
- Multi-agent coordination and workflow control
- API integration and external system connectivity
- Human tasks, callbacks, and event handling

UiPath Agentic Automation Professional Sample Questions:

Question #1
In UiPath Maestro's Single Instance view, what happens when you perform the Retry action on an instance?

A. It upgrades the instance to a different version of the process, applying the latest logic and configurations and then retries the execution of the instance.
B. It re-executes the instance, using a different set of input data and provides a comparison of the outputs after the execution ends.
C. It restarts all the current activities in the workflow from the last completed step.
D. It restarts all the current activities in the workflow from the first step in the process.


Question #2
What steps and options can be used to review agent execution incidents in UiPath's Incidents section?

A. Incidents display only the First seen column and a high-level status chart for grouping; job details cannot be accessed from incidents.
B. Incidents allow grouping by Agent or Parent process but lack Description, First seen, and Last seen columns or details about corresponding jobs.
C. Incidents provide only a Description column without the ability to group by Agent or Parent process, and entries are limited to job summaries without linking to job details.
D. Incidents allow grouping by Agent or Parent process and feature columns for First seen, Last seen, and Description to provide quick insights. Selecting a "First seen" or "Last seen" entry opens the job details panel for the corresponding job.


Question #3
An agent uses policy documents retrieved from a knowledge base to compose an answer. You need to verify that the generated answer strictly reflects the retrieved content and introduces no unsupported statements.
Which evaluator should you configure?

A. Deterministic - Exact match
B. LLM as a judge - Faithfulness
C. LLM as a judge - Semantic similarity
D. Deterministic - JSON similarity


Question #4
When writing effective prompts for agents, what should always be included to help ensure reliable performance?

A. A clear role definition, task breakdown, reasoning instructions, and output formatting.
B. Multiple example responses for each possible user input scenario.
C. Detailed explanations of the business context for every argument.
D. Separate prompts for each reasoning step to simplify task execution.


Question #5
In the context of automation, what key capability distinguishes generative AI (GenAI) from agentic AI?

A. GenAI autonomously triggers workflows and makes decisions through cognitive navigation and in- context reasoning, whereas agentic AI is limited to generating content from prompts.
B. GenAI excels in creating new content (text, images, code) from prompts, whereas agentic AI moves beyond creation to planning and executing tasks.
C. GenAI provides cognitive navigation and adapts to changes when handling complex tasks, whereas agentic AI only performs predefined, quality-gated content generation actions.
D. GenAI can perceive environments and learn over time to act autonomously, while agentic AI cannot.


Solutions:

Question #1
Correct Answer: C
Question #2
Correct Answer: D
Question #3
Correct Answer: B
Question #4
Correct Answer: A
Question #5
Correct Answer: B

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