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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agent Design & Development | 25% | - Tools, connections and integration services - Agent Builder in Studio Web - Prompt engineering best practices |
| Topic 2: Governance, Evaluation & Trust | 15% | - Observability and reliability - Agent performance evaluation - Guardrails and responsible AI |
| Topic 3: Context & Knowledge Management | 20% | - Data sources and retrieval methods - Knowledge base integration - Context packages and grounding |
| Topic 4: Agentic Automation Fundamentals | 20% | - Agents vs traditional robots - Core principles of agentic automation - AI, LLM and generative AI concepts |
| Topic 5: Orchestration & Human-in-the-Loop | 20% | - UiPath Maestro and BPMN modeling - Escalations and Action Center - Service tasks and agent invocation |
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NEW QUESTION # 54
What are the characteristics of an agentic story within the 'Do later' quadrant in the impact and feasibility matrix?
Answer: B
Explanation:
Cis correct - an agentic story that falls into the"Do Later"quadrant typically representshigh feasibility but low impact.
In UiPath'sImpact vs. Feasibility Matrix, used during theAgentic Discoveryphase, automation ideas are evaluated on:
* Feasibility(ease of implementation)
* Impact(business value, time saved, ROI)
Quadrants:
* Quick Wins: High impact, high feasibility
* Do Later: Low impact, high feasibility
* Strategic Bets: High impact, low feasibility
* Avoid/Backlog: Low on both
'Do Later' agentic stories are often simple to automate but don't deliver meaningful outcomes - e.g., automating low-volume tasks or internal reports with limited audience.
Focusing onimpactful use casesensures agent development time translates to real business value - one of the key lessons from UiPath's agentic blueprint methodology.
NEW QUESTION # 55
Why is mapping processes a critical step in identifying opportunities for agentic automation?
Answer: B
Explanation:
Cis correct - mapping processes during agentic discovery is essential because it allows teams tozoom into specific tasks or sub-processeswhere agentic automation can deliver the highest value.
UiPath'sAgentic Design Blueprintmethodology emphasizes this as afoundational step. By creating detailed
"as-is" process maps, teams can:
* Spotrepetitive tasks(ideal for RPA)
* Findjudgment-based decisions(ideal for agents)
* Highlightescalation points, delays, and handoffs
This clarity helps identify:
* Which actions can be automated
* Which roles require agent augmentation
* What context (data or documents) is needed
Option A skips process mapping and risks missing real value.
B is too high-level - real insights come from step-level granularity.
D is misleading - mapping is necessary butnot sufficientfor full implementation.
Accurate process mapping creates avisual and logical foundationfor designing agents that integrate seamlessly into workflows - targeting the right problems and unlocking measurable ROI.
NEW QUESTION # 56
When creating an Action app, what is the purpose of defining the "Approve" and "Deny" outcomes within the Action schema?
Answer: A
Explanation:
The correct answer isB- defining outcomes like"Approve"and"Deny"within an Action schema is critical for guiding downstream logic in agent behavior, especially in scenarios involvinghuman-in-the-loop reviews.
According to UiPath's documentation forAction Center, outcomes act asexplicit decision points. When a user completes a review (e.g., a document, output, or classification), the selected outcome drives what the agent or automation should do next - for example:
* "Approve"might trigger further processing or submission.
* "Deny"could lead to rework, escalation, or termination of the process.
This is especially relevant inagentic workflows, where the agent offloads uncertain tasks to humans, and the human response informs the next step via outcome-driven branching logic.
Options A, C, and D refer to unrelated features like data validation, mandatory fields, or UI tweaks - none of which define thelogical consequencesthat outcomes control.
NEW QUESTION # 57
How does agentic orchestration ensure consistency and reliability in processes?
Answer: B
Explanation:
The correct answer isA- UiPath'sagentic orchestration layerusesBPMN (Business Process Model and Notation)to visually model and govern the workflows in which AI agents operate. This is a core feature of UiPath Maestro, where BPMN ensures:
* Clear definition of rules, handoffs, and agent actions
* Guardrails for decision-making
* Coordination between people, robots, and AI agents
* Reusability and governanceof business logic
Agentic orchestration doesnot mean giving full autonomy to agents(as in D), nor does it aim to eliminate human input entirely (as in B). Instead, it promotesadaptive workflowswhere human review, agent action, and automation co-exist in a governed way.
Option C is incorrect because UiPath specificallyencourages hybrid collaborationbetween humans, bots, and agents. BPMN is the bridge that brings that orchestration to life.
NEW QUESTION # 58
Which statement best describes UiPath Maestro's capability for deploying AI agents within a BPMN-modeled process?
Answer: B
Explanation:
The correct answer isC- UiPathMaestroenablesagentic orchestrationby serving as aprocess modeling and execution layerfor AI agents, RPA bots, human reviewers, and external systems. It supports BPMN-based modeling and integrates bothUiPath-built agentsandexternal agents, such as those fromLangChain,CrewAI
, orAgentforce.
Maestro provides aconsistent frameworkthat allows:
* InvokingLLM-powered agentsas subprocesses or service calls
* Managingescalations and human-in-the-loop workflows
* Defining structuredinputs, outputs, and triggersusing visual tools
* Coordinating acrosshybrid environments, mixing RPA, agents, and APIs
This aligns with UiPath'sAgentic Automation vision, where agents are not isolated but operate within enterprise-grade governance and control structures. Maestro enables scalable deployment ofgoal-driven, adaptive agentsinside complex, orchestrated processes.
Option A is incorrect - Maestro doesn't embed code scripts or rely solely on external runtimes.
B is false - Maestro is broader than just Agentic and Integration tasks.
D is outdated - Maestro can orchestrate third-party agents with human review checkpoints via its own framework.
Maestro essentially acts as thecentral nervous systemfor agent coordination, making C the most accurate answer.
NEW QUESTION # 59
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