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UiPath UiPath-AAPv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Agentic AI and agentic automation concepts | - Definitions of agents and distinctions between generative AI and agentic AI - Agentic orchestration and collaboration between robots, agents, and humans - Best practices for agentic automation, including intelligent decision-making, adaptability, goal-oriented execution, and multi-task coordination |
| Agent management | - Monitoring agent usage, unit consumption, and incidents - Using agent scores to track performance - Agent tool and context grounding simulations - Applying governance policies to enable, disable, and control agent functionality - Assigning policies at tenant, group, and user levels - Best practices for building, publishing, and deploying agents - Analyzing execution traces to understand agent behavior |
| Coded Agents | - Coded Agents |
| Agentic evaluations | - Selecting deterministic and model-graded assertions - Creating input-output pairs for diverse scenarios - Executing evaluation sets and analyzing accuracy and reliability - Analyzing evaluation failures to identify root causes and error patterns - Using execution traces to troubleshoot failed evaluations - Interpreting evaluation scores - Iteratively improving agent performance - Identifying edge cases and failure scenarios - Evaluation concepts and their role in agent reliability - Differences between deterministic and model-graded evaluations - Optimizing prompts using evaluation results - Selecting strict or flexible assertions based on use cases - Designing evaluation datasets that reflect real-world complexity |
| Prompt engineering | - Prompt engineering best practices - Designing structured few-shot prompts - Crafting zero-shot prompts for simple tasks - Applying clarity, specificity, and conciseness - Iteratively refining prompts based on evaluation feedback - Including context, instructions, output formats, and constraints |
| AI Trust Layer | - Using a custom tenant as an LLM gateway - Personally identifiable information masking in transit - Using audit logs and usage summaries |
| UI Agent | - UI Agent (ScreenPlay) |
| Autopilot for Everyone | - Determining when to use Autopilot for Everyone - Using specialized Autopilots |
| Conversational Agents | - Conversational Agents |
| Agentic discovery and blueprint design | - Designing agent stories using triggers, instructions, context, human-in-the-loop requirements, and tools - Mapping business process steps to agent tasks - Selecting tools appropriate to agent objectives - Differentiating system prompts and user prompts - Mapping context sources and grounding strategies - Assessing agentic automation opportunities in business processes - Prioritizing automation opportunities based on feasibility and impact - Defining agent goals and evaluation criteria |
| Escalations | - Configuring UiPath Action Apps for human-in-the-loop escalations - Human-in-the-loop concepts and the importance of human oversight - Defining escalation logic |
| UiPath Platform components and integrations | - Reusing existing agents within new agents - Building and publishing API workflows as reusable agent tools - Applying agent tool guardrails - Creating connections through Integration Service - Designing input and output schemas for tools - Mapping connector actions into agent prompts - Using Run Job in Studio Web - Creating agent tools in Studio Web - Data Fabric integration - Integrating MCP assets as agent tools - Troubleshooting tool execution using traces and evaluations |
| Agentic orchestration with UiPath Maestro | - Maestro best practices - Capturing user inputs and returning structured data to processes - Using Send and Receive tasks with Integration Service connectors and webhooks - Configuring Service Tasks to invoke agents using Start and wait for agent - Maestro control flow - Instance management - Using the expression editor and scripts for data transformation and conditional routing - Configuring dynamic assignees, SLAs, and expiry rules for user tasks - Chaining multiple agents within a process - Handling asynchronous agent completion events and callbacks - Using BPMN to model business processes and assign tasks to robots, agents, and humans - Configuring Service Tasks to invoke automation workflows from Orchestrator - Configuring User Tasks with Action Apps forms for escalations - Defining and using API workflows - Defining global, local, and task-specific process variables - Mapping input and output parameters between Maestro tasks and agents |
| Context Grounding | - Context engineering best practices - Context grounding concepts and implementation - Context grounding sources and configuration options - Implementing index update strategies - Ingestion and retrieval methods - Configuring thresholds and result limits for precision and relevance - Monitoring index queries and jobs - Using context grounding indexes to store and retrieve relevant information for agent memory |
UiPath Agentic Automation Professional Sample Questions:
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. Create action app task
- C. Wait for connector event
- D. Execute connector activity
Correct Answer: D 🗳️
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In UiPath Maestro, which of the following conditions must a variable meet to be usable in the Monitoring tab' s filter builder?
- A. The variable must be declared in the global scope of the automation project
- B. The variable must be linked to a BPMN gateway decision
- C. The variable must be explicitly configured as searchable in the Maestro canvas
- D. The variable must be used in at least one completed process instance
Correct Answer: C 🗳️
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An insurance company needs to automate end-to-end policy validation by ingesting customer records from its CRM, invoking multiple REST APIs to verify coverage and eligibility against external data sources, and reconciling results for audit compliance. The process must handle authentication challenges, intermittent API outages, and changing response schemas, while providing clear progress and error reporting for business users.
Which workflow design approach is best?
- A. Create a modular UiPath workflow with centralized API authentication, schema validation/adaptation for varying responses, resiliency (auto-retries, graceful outage handling), and real-time progress/error logs for business users.
- B. Organize the workflow so each API call operates independently, with hardcoded credentials; in case of outages, aggregate error codes for later manual investigation, and generate a single compliance summary after all processing is complete.
- C. Use separate UiPath workflows for each stage, CRM ingestion, API verification, and reconciliation, allowing manual intervention if an authentication failure or schema mismatch occurs, and emailing stakeholders occasional audit summaries for review.
- D. Configure the workflow to only process customer records during periods of known API uptime, skipping records and deferring validation when external data sources are unavailable, then batch process any skipped validations later and compile a multi-stage report.
Correct Answer: A 🗳️
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Which of the following methods can be used to manage ingestion pipelines for Context Grounding in UiPath?
- A. Through the Orchestrator monitoring dashboard, using the Index Deployment Manager panel for scheduling regular ingestion pipelines.
- B. Directly in Orchestrator from the Indexes page, or by using the Update Context Grounding Index activity.
- C. By configuring ingestion rules from the Orchestrator Indexes page, or by using the Update Context Grounding Index activity.
- D. Using Data Fabric, with custom entities to update and synchronize pipeline indexes.
Correct Answer: B 🗳️
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Stakeholders say the new agent should improve data accuracy, shorten approval cycles, and increase consistency in business decisions.
How should the evaluation criteria for the agent story be structured?
- A. Prioritize one improvement objective to simplify implementation planning.
- B. Translate each improvement objective into measurable outcomes within the redesigned "to-be" process map.
- C. Measure agent effectiveness exclusively by the volume of processed transactions.
- D. Consolidate all improvement objectives into a single high-level automation target.
Correct Answer: B 🗳️
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