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UiPath UiPath-AAPv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Agentic Discovery and Blueprint Design | 16% | - Agent story design and goal definition - Process assessment and agent opportunity identification - Prompt engineering and context specification - Tool selection and evaluation criteria definition |
| Agentic Evaluations and Agent Management | 16% | - Incident analysis and iterative improvement - Evaluation dataset design and edge-case handling - Assertions, scoring, and trace analysis - Deterministic vs model-graded evaluation - Agent lifecycle management and deployment |
| Governance, Observability, and Reliability | 17% | - Monitoring, observability, and Agent Scores - Compliance, security, and responsible AI - Governance policies and AI Trust Layer - Guardrails, fallback logic, and risk controls |
| Advanced Agent Implementation and Platform Integration | 18% | - Coded Agents and conversational agents development - Autopilot and AI-assisted development workflows - UI Agent and ScreenPlay implementation - Studio Web tools and Integration Service configuration |
| Context Grounding and Escalations | 16% | - Retrieval strategies and ingestion management - Grounding source configuration and indexing - Human-in-the-loop escalation architecture - Context engineering best practices - Action Apps and escalation SLA/routing design |
| Orchestration and Multi-Agent Processes | 17% | - Multi-agent coordination and workflow control - API integration and external system connectivity - UiPath Maestro process modeling and BPMN - Human tasks, callbacks, and event handling |
UiPath Agentic Automation Professional Sample Questions:
A simul-ation test reveals that the agent returns "Unknown Error" across multiple evaluation sets.
What sequence of troubleshooting steps should be performed to resolve this issue?
- A. Replace all tools involved in the workflow to remove dependencies that may cause errors.
- B. Use runtime traces to identify steps leading to the error, debug and re-test each tool evaluation set.
- C. Re-run the simulation multiple times without adjustments to identify intermittent patterns.
- D. Create new evaluation sets and remove problematic outputs related to the error.
Correct Answer: B 🗳️
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You want to send an email within a BPMN.
Which Action should you select inside the task to allow you to send the email?
- A. Execute script
- B. Wait for connector event
- C. Create action app task
- D. Execute connector activity
Correct Answer: D 🗳️
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When a deployed agent is added as a tool, which outcome best describes how its schemas are made available?
- A. The input and output schema are automatically exposed, excluding any file-based arguments for the tool
- B. The input and output schema are automatically exposed, including any file-based arguments for the tool
- C. The output schema is automatically exposed, while the input schema is derived from chat content
- D. The input schema is automatically exposed, while the output schema is described only in prompts
Correct Answer: B 🗳️
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A conversational agent is deployed with detailed behavioral rules in its initial configuration. A user then submits a request that shifts the topic of discussion.
Which statement best describes the situation?
- A. The user prompt permanently modifies the behavioral rules established by the system prompt.
- B. The topic and behavioral rules are both controlled by the system prompt once deployed.
- C. The system prompt becomes inactive once a user introduces a new topic.
- D. The topic is defined by the user prompt, while the behavioral rules remain controlled by the system prompt.
Correct Answer: D 🗳️
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When configuring evaluation sets to compare model/temperature combinations, which evaluator categories let you select the model used for evaluation?
- A. Deterministic evaluators only, because their stable rule-based matching supports explicit model selection to compare model behaviors.
- B. All evaluator categories, because model selection is available uniformly for deterministic, LLM-as-a- judge, and trajectory evaluators.
- C. Trajectory evaluators only, because only trajectory grading needs a model selection while LLM-as-a- judge evaluators remain model-agnostic.
- D. LLM-as-a-judge and Trajectory evaluators, because both are LLM-based and include a Model selection field for testing different model and temperature configurations.
Correct Answer: D 🗳️
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