UiPath-AAAv1 Verified 2026 Edition

UiPath Certified Professional Agentic Automation AssociatePractice Test

Master the UiPath Certified Professional Agentic Automation Associate with the official PlanetCert Practice Test. Access real exam questions, professional-grade detailed explanations, and our advanced adaptive simulator. Pass your certification exam on the first attempt.

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Exam Information

Official specifications published by UiPath

Exam Format

90 min
Not publicly disclosed
70%
Associate

Registration

$150 USD
Pearson VUE or online proctoring

Validity

3 years
Retake the current version of the exam; Pass a higher-level UiPath certification exam; Complete continuing education requirements as defined by UiPath

UIPATH-AAAV1 Exam Topics and Domains

UIPATH-AAAV1 is organized into 10 weighted domains. Expect to work with UiPath Maestro, UiPath Agents, Integration Service, Storage buckets, and more.

1

Agentic AI and Agentic Automation Concepts

12%

Foundational AI and LLM Concepts

Define Machine Learning, Large Language Models, and Generative AIDefine Agents and Differentiate Generative AI from Agentic AIDifferentiate Between Agents and Robots
  • Define ML, LLMs and generative AI
  • Define agents and differentiate between generative AI and agentic AI
  • Differentiate between agents and robots

Traditional Automation Challenges and Agentic Benefits

Identify Challenges of Traditional Robot-Only AutomationArticulate Benefits of Agentic AutomationAgentic Orchestration and Synergy
  • Identify the challenges of traditional automation done only with robots and humans
  • Articulate the benefits of agentic automation: intelligent decision-making, adaptability, goal-oriented execution, multi-task coordination
  • Explain the concept of agentic orchestration and the synergy between robots, agents and humans
2

Agentic Discovery

12%

Process Assessment for Agentic Automation

Identify and Assess Agentic Automation PotentialDesign Agent Stories with 5 CharacteristicsPrioritize Agentic Automation Opportunities
  • Identify and assess the agentic automation potential of business processes by considering the roles, the knowledge context, the technology landscape, and the as-is state
  • Design agent stories through the 5 characteristics: trigger, instructions, context, human in the loop, and the tools with which it integrates
  • Prioritize the agentic automation opportunities by considering feasibility and impact
3

Agent Blueprint Design

18%

Agent Task Mapping and Goals

Map Business Process Steps to Agent TasksIdentify Agent Goals and Evaluation Criteria
  • Map business process steps to agent tasks
  • Identify agent goals and evaluation criteria

Prompts and Context Configuration

System and User PromptsContext Sources and Grounding StrategiesTool Selection for Agent Objectives
  • Define and differentiate between system and user prompts
  • Map context sources and grounding strategies
  • Select the tools appropriate for agent objectives
4

Context Grounding

8%

Context Grounding Fundamentals

Describe and Use Context GroundingContext Grounding Sources and Configuration
  • Describe and use Context grounding
  • Define context grounding sources (storage buckets, integration service) and configuration options
5

Escalations and Human-in-the-Loop

8%

Human-in-the-Loop Concepts

Human-in-the-Loop ImportanceEscalation Logic
  • Explain the concept of Human-in-the-Loop (HITL) and its importance in balancing agentic automation with human oversight
  • Define the logic for raising escalations
6

Agentic Evaluations

8%

Agent Evaluation Concepts

Define Evaluations and Their RoleDeterministic vs Model-Graded Evaluations
  • Define evaluations and their role in ensuring agent reliability
  • Differentiate between deterministic and model-graded evaluations
7

Prompt Engineering

13%

Prompt Crafting Techniques

Zero-Shot Prompts for Simple TasksFew-Shot Structured PromptsPrompt Components and Best Practices
  • Craft zero-shot prompts for simple tasks
  • Design few-shot structured prompts
  • Include context, instructions, output format, and constraints
  • Apply clarity, specificity, and conciseness for best practices
8

UiPath Platform Components and Integrations

11%

Agent Tool Creation

Create Agent Tools in UiPath Studio WebDesign Input/Output Schema for Tools
  • Create agent tools in UiPath Studio Web
  • Design input/output schema for tools

Integration Service and Connectors

Create Connections Using Integration ServiceMap Connector Actions into Agent Prompts
  • Create connections using Integration Service
  • Map connector actions into agent prompts
9

Agentic Orchestration with UiPath Maestro

9%

BPMN Process Modeling

Use BPMN to Model Business Processes

Use BPMN to model business processes and map tasks to robots, agents, and humans

Service Task Configuration

Configure Service Tasks to Invoke AgentsConfigure Service Tasks to Invoke Automation Workflows
  • Configure Service Tasks to invoke agents with 'Start and wait for agent'
  • Configure Service Tasks to invoke automation workflows from Orchestrator
10

Autopilot for Everyone

1%

Autopilot Use Cases

Describe When Autopilot Should Be Used

Describe when Autopilot for everyone should be used

How do I earn this certification?

Passing UIPATH-AAAV1 earns the UiPath Certified Professional Agentic Automation Associate certification. It sits in the Agentic Automation track.

Next Level Options
Future Professional-level - Agentic Automation Professional (anticipated)
Alternative Paths

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How to study for this exam?

The most effective way to prepare for UIPATH-AAAV1 is by using the PlanetCert Simulator to practice questions and review detailed explanations.

What's changed on this exam?

Current Status
  • ACTIVE
  • Last content update: 2024-11-01
  • Announcement date: 2024-10-01
Updates
  • UiPath Maestro 2024.10 Core platform for agentic orchestration exam topics • Release date: 2024-10-15
  • UiPath Studio Web Current Primary tool for creating agent tools and workflows • Release date: 2024-09-01
  • UiPath Integration Service Current Critical for connector configuration and action mapping • Release date: 2024-08-01
  • Autopilot for Everyone 1.0 Understanding use cases for personal AI agents • Release date: 2024-09-20

Who should take this exam?

This exam is typically taken by New technology enthusiasts and AI and Agentic AI enthusiasts.

  • Completed Agentic Automation Developer Associate Training at UiPath Academy
  • Basic prompting experience
  • Basic agent building experience
  • Working knowledge of Large Language Models
  • Familiarity with SDLC
  • Experience with Microsoft Excel, Outlook, and web browsers

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