UiPath UiPath-AABPv1 Exam : UiPath Agentic Automation Builder Professional Exam

  • Exam Code: UiPath-AABPv1
  • Exam Name: UiPath Agentic Automation Builder Professional Exam
  • Updated: Oct 26, 2026
  • Q & A: 0 Questions and Answers

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UiPath UiPath-AABPv1 Exam Overview:

Certification Vendor:UiPath
Exam Name:UiPath Agentic Automation Builder Professional Exam
Exam Number:UiPath-AABPv1
Exam Duration:120 minutes
Related Certifications:UiPath Agentic Automation Associate
UiPath Certified Professional Agentic Automation Builder Professional
UiPath Agentic Automation Professional
Exam Price:USD 150 (plus applicable taxes, if any; verify at registration)
Certificate Validity Period:3 years
Passing Score:70%
Available Languages:English
Exam Format:Drag-and-drop, Multiple-choice, Sequencing
Exam Way:Delivered through Pearson VUE at an authorized test center or by online proctored examination. The official exam description specifies multiple-choice and drag-and-drop/sequencing question formats. The official document does not publish a total question count or domain weight percentages.
Pre Condition:No mandatory prerequisite exam is specified in the official exam description. The minimally qualified candidate is expected to have at least 6 months of experience building automations on the UiPath Platform, working knowledge of automation design principles and process documentation, and familiarity with large language models, prompting, and agent behavior. Equivalent knowledge from recommended UiPath Academy learning plans and official documentation is acceptable.
Official Syllabus URL:https://start.uipath.com/rs/995-XLT-886/images/UiPath%20Agentic%20Automation%20Builder%20Professional%20Exam%20Description.pdf?version=0

UiPath UiPath-AABPv1 Exam Syllabus Topics:

SectionObjectives
Topic 1: Agentic Business Orchestration Foundations- Machine learning, large language models, generative AI, and agentic AI
- Business process automation concepts and value
- Project implementation stages based on UiPath Implementation Methodology
- Interpreting Process Definition Documents, Solution Design Documents, and Agent Design Documents
- Differences between traditional automation and agentic business orchestration
- Differences between AI agents and robots and appropriate use cases
Topic 2: Evaluations, Governance and Reliability- Assertions and evaluation results
  • 1. Inline agent output.content in Maestro flows
    • 2. Analyzing tool and escalation behavior in evaluation runs
      • 3. Assertions on standalone Agent Builder output fields
        • 4. Validating root JSON objects against release gates
          - Reliability and operational resilience
          • 1. Change control after correcting agents in Studio Web solutions
            • 2. Diagnosing production agents using Orchestrator job traces
              - Evaluation concepts and evaluation datasets
              • 1. Evaluation criteria for Boolean, numeric, and controlled-string output fields
                • 2. Groundedness checks across complete agent runs
                  • 3. Scoping evaluation sets to agent arguments, input fields, and consumers
                    • 4. Repeatable evidence for safe prompt and tool-selection changes
                      - Agent building and execution governance
                      • 1. Selecting guardrail actions for business-critical data
                        • 2. Tenant entitlements for building and running agents
                          • 3. Built-in guardrails and behavior when entitlements are disabled
                            • 4. Policy precedence at tenant, group, and user levels
                              - Observability and runtime monitoring
                              • 1. Agent Score, its components, and recalculation
                                • 2. Score changes following prompt-only or tools-only revisions
                                  • 3. Automation Ops policies enforcing minimum Agent Scores
                                    • 4. Maintaining release records for prompts, tools, schemas, and evaluation sets
                                      - Operating the AI Trust Layer in production
                                      • 1. Troubleshooting custom LLM configurations after provider-side changes
                                        • 2. Configuring LLM names for models outside the recommended list
                                          • 3. Accessing on-premises models without public endpoints
                                            • 4. Third-party model policies and request handling
                                              Topic 3: Agents and Operational AI- Specialized agent types
                                              • 1. Operating agents within orchestrated processes alongside robots and humans
                                                • 2. Conversational Agents and ScreenPlay
                                                  - Operational AI, escalation, safety, and observability
                                                  • 1. Building, publishing, and deploying agents
                                                    • 2. Agent decision escalation paths
                                                      - Tools, connectors, MCP, and agents-as-tools
                                                      • 1. Creating, building, and publishing tools in Studio Web
                                                        • 2. Integrating MCP assets into agents
                                                          • 3. Reusable Integration Service connectors and API workflows
                                                            - Context grounding and agent memory
                                                            • 1. Short-term agent memory
                                                              • 2. Grounding sources, thresholds, and ingestion methods
                                                                • 3. Index update strategies and monitoring
                                                                  - Production prompt engineering
                                                                  • 1. Zero-shot and few-shot prompting with context
                                                                    • 2. Instruction structure, output formats, and constraints
                                                                      • 3. Prompt engineering best practices
                                                                        - Agents as code
                                                                        • 1. Building, debugging, and deploying Python agents with LangChain and LangSmith
                                                                          • 2. Agent versioning and lifecycle management
                                                                            • 3. Packaging and publishing agents as Solution artifacts
                                                                              - Agent design and architecture
                                                                              • 1. Translating business processes into agent tasks
                                                                                • 2. Cost management and token limits
                                                                                  • 3. Prompt hierarchy, context sources, and grounding strategies
                                                                                    • 4. Defining agent goals and evaluations
                                                                                      Topic 4: UiPath Platform- Studio Web project types and selection
                                                                                      • 1. Case management projects
                                                                                        • 2. Agent projects
                                                                                          • 3. RPA workflow projects
                                                                                            • 4. API workflow projects
                                                                                              • 5. Agentic process projects
                                                                                                • 6. Matching project types to business requirements
                                                                                                  • 7. App projects
                                                                                                    - Licensing fundamentals
                                                                                                    • 1. Robot Units
                                                                                                      • 2. AI Units
                                                                                                        • 3. Agent Units
                                                                                                          Topic 5: Deterministic Automation- REST APIs and JSON data handling
                                                                                                          - Debugging, exception handling, and logging
                                                                                                          • 1. Exception handling and recovery patterns
                                                                                                            • 2. Debug modes, breakpoints, and runtime inspection
                                                                                                              • 3. Log interpretation and logging best practices
                                                                                                                - App projects and human-in-the-loop workflows
                                                                                                                • 1. Action Center routing and action handling
                                                                                                                  • 2. Pages, forms, controls, and inline automation
                                                                                                                    - Basic data manipulation
                                                                                                                    • 1. Strings, numbers, dates, lists, and DataTables
                                                                                                                      - Attended, unattended, and serverless processes
                                                                                                                      - ScreenPlay and semantic UI automation
                                                                                                                      • 1. ScreenPlay runtime and LLM-based UI navigation
                                                                                                                        • 2. Selecting semantic activities instead of classic targeting
                                                                                                                          - Variables, arguments, and control flow
                                                                                                                          • 1. Sequences, conditional statements, loops, and switch statements
                                                                                                                            - Integration Service and API workflows
                                                                                                                            • 1. Connections, connectors, and event triggers
                                                                                                                              • 2. Building and publishing end-to-end API workflows
                                                                                                                                - Modern UI Automation
                                                                                                                                • 1. Modern UI Automation activities and methods
                                                                                                                                  • 2. Input and output methods and their trade-offs
                                                                                                                                    • 3. Targeting, selectors, and descriptors
                                                                                                                                      Topic 6: Agentic Orchestration and Specialized AI- Specialized AI fundamentals
                                                                                                                                      • 1. AI Center
                                                                                                                                        • 2. Structured, semi-structured, and unstructured documents
                                                                                                                                          • 3. Communications Mining
                                                                                                                                            • 4. AI Trust Layer
                                                                                                                                              • 5. Document Understanding
                                                                                                                                                • 6. PII masking, LLM gateway, and audit and usage summaries
                                                                                                                                                  - Coordination of agents, automations, humans, and APIs
                                                                                                                                                  • 1. Chaining multiple agents in an orchestration
                                                                                                                                                    • 2. Action Apps forms, user input, and service-level agreements
                                                                                                                                                      • 3. Service tasks, send and receive tasks, connectors, and webhooks
                                                                                                                                                        - BPMN-based process orchestration
                                                                                                                                                        • 1. Comparing UiPath Maestro with REFramework and queue-based patterns
                                                                                                                                                          • 2. Designing orchestrations for long-running processes
                                                                                                                                                            - Orchestration reliability, instance management, and recovery
                                                                                                                                                            • 1. Process optimization and UiPath Maestro best practices
                                                                                                                                                              • 2. Managing, pausing, resuming, and recovering process instances
                                                                                                                                                                - State management, callbacks, and asynchronous execution
                                                                                                                                                                • 1. Asynchronous agent completion events and callbacks
                                                                                                                                                                  • 2. Mapping inputs and outputs between Maestro tasks and agents
                                                                                                                                                                    • 3. Global, local, and task-specific process variables
                                                                                                                                                                      - Case management orchestration
                                                                                                                                                                      • 1. Stateful long-running cases, dynamic tasks, and parallel branches
                                                                                                                                                                        • 2. Coordinating case management with automations and agents
                                                                                                                                                                          • 3. Escalation paths and service-level agreements
                                                                                                                                                                            Topic 7: UiPath for Coding Agents- Generating, reviewing, and correcting workflows with coding agents
                                                                                                                                                                            • 1. Debugging, validating, and publishing AI-generated workflows
                                                                                                                                                                              • 2. Reviewing AI-generated workflows and Workflow Analyzer findings
                                                                                                                                                                                • 3. Running coding-agent sessions from the Studio terminal
                                                                                                                                                                                  - UiPath CLI and skills library
                                                                                                                                                                                  • 1. Installing skills globally or per project
                                                                                                                                                                                    • 2. Interactive and pipeline authentication
                                                                                                                                                                                      • 3. CLI installation, authentication, and everyday usage
                                                                                                                                                                                        • 4. AGENTS.md and its purpose
                                                                                                                                                                                          - AI-assisted authoring concepts
                                                                                                                                                                                          • 1. UiPath for Coding Agents and supported coding agents
                                                                                                                                                                                            • 2. Skills, enterprise execution, and platform convergence
                                                                                                                                                                                              • 3. Governance of third-party coding-agent automations in production
                                                                                                                                                                                                - Delegate, Healing Agent, Diagnose Agent, and AI-assisted development governance
                                                                                                                                                                                                • 1. Safety practices for AI-assisted development
                                                                                                                                                                                                  • 2. Governance of coding agents in enterprise repositories
                                                                                                                                                                                                    • 3. Autopilot for Everyone and Specialized Autopilot
                                                                                                                                                                                                      • 4. Healing Agent behavior and limitations in unattended execution

                                                                                                                                                                                                        Frequently Asked Questions About UiPath Agentic Automation Builder Professional

                                                                                                                                                                                                        The UiPath-AABPv1 exam is a core requirement for the UiPath Certification certification at the Professional level. Earning this validates your skills for credentials like UiPath Certified Professional Agentic Automation Builder Professional, UiPath Agentic Automation Associate, UiPath Agentic Automation Professional.

                                                                                                                                                                                                        The official examination fee is USD 150 (plus applicable taxes, if any; verify at registration), and you must achieve a score of 70% to pass. Since retaking the test requires paying the full fee again, utilizing accurate practice materials for thorough self-assessment beforehand is crucial to protect your investment.

                                                                                                                                                                                                        Candidate requirements include: No mandatory prerequisite exam is specified in the official exam description. The minimally qualified candidate is expected to have at least 6 months of experience building automations on the UiPath Platform, working knowledge of automation design principles and process documentation, and familiarity with large language models, prompting, and agent behavior. Equivalent knowledge from recommended UiPath Academy learning plans and official documentation is acceptable.. Please verify all eligibility details on the official certification page before scheduling your appointment.

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                                                                                                                                                                                                        The syllabus is divided into 7 main domains. Key areas include "Agentic Orchestration and Specialized AI", "UiPath Platform", "Evaluations, Governance and Reliability". For a comprehensive breakdown of all measured skills, please review the complete exam outline table provided above.

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