UiPath UiPath-AAAv1受験対策 & UiPath-AAAv1最新な問題集最も専門的な専門家によって編集された当社のUiPath練習資料は、成功のために高品質で正確なUiPath-AAAv1練習資料を提供します。 これまで、UiPath試験トレントをサポートする世界中の何万人ものお客様がいます。 UiPath-AAAv1学習教材に不慣れな場合は、参考のために無料のデモをダウンロードしてください。また、一部の未学習の試験受験者には、UiPath実践教材で必要事項をすぐにマスターできます。 UiPath Certified Professional Agentic Automation Associate (UiAAA) 認定 UiPath-AAAv1 試験問題 (Q15-Q20):質問 # 15
You want your agent to call an existing UiPath process by adding it in the Tools # Processes. Which prerequisite must be met before the process becomes selectable?
A. Any process published anywhere in the tenant automatically appears in the list without additional deployment or permissions.
B. The process only appears if it exposes at least one String input argument, regardless of where it is deployed, otherwise the Agent tool would be irrelevant for the Agent.
C. The process only appears if it exposes at least one String output argument, regardless of where it is deployed, otherwise the Agent tool would be irrelevant for the Agent.
D. The process must already be published and deployed to a shared Orchestrator folder that you (and the agent) have permission to access.
正解：D
解説：
Bis the correct answer - in UiPath'sAgent Builder (Studio Web), when you want to invoke an existing UiPath process from an agent (viaTools # Processes), that process must meettwo key prerequisites:
* It must be published and deployed to a shared Orchestrator folder
* You - and the agent - must have access to that folder
This ensures that:
* The agent canlocate and run the processat execution time
* Role-based access control (RBAC) is respected
* Input/output arguments, execution logs, and exceptions are properly managed within the correct environment This aligns with UiPath'sOrchestrator-integrated agent orchestration model, where security and deployment visibility are tightly governed. It also allows agent authors toreuse existing RPA logicinside dynamic agent flows without duplicating automation work.
Option A and D incorrectly imply that argument types affect process visibility - that's false. Agents can invoke processes withany argument signature, as long as mapping is defined.
Option C is incorrect - publishing alone is not enough.Deployment and permissionsare required for the process to appear in the tool selector.
This model ensures that agents can call any compliant UiPath processsecurely, reliably, and in line with enterprise governance.
質問 # 16
Why is it essential to provide a focused description and usage guidance when adding a tool for an agent?
A. It limits the agent's actions to only those explicitly allowed by the user prompt, preventing incorrect reasoning.
B. It guarantees that agents can access and modify any business application data, even without tool integration.
C. It allows agents to execute all types of actions automatically, including Context Grounding and Escalations.
D. It ensures the agent understands the tool's purpose and can use it effectively in relevant scenarios.
正解：D
解説：
The correct answer isA- in UiPath's Agent Builder (Studio Web), when you add atool(e.g., Integration Service activity, process, API call), it's essential to include aclear description and usage instructions. This description serves as aguide for the LLM, helping it understand:
* What the tool does
* When to use it
* What input/output fields are relevant
Agents rely on this metadata todecidewhen and how to call the tool appropriately during execution. For example, if a tool is meant to send a Slack message, the description should say:
"Use this tool to notify the support team when a high-priority ticket is detected." Without a clear tool description, agents may:
* Misuse tools (e.g., calling the wrong one)
* Fail to act when they should
* Deliver inconsistent results due to lack of grounding
Option B is incorrect - tool access doesn't grant unrestricted data privileges.
C is too narrow - the prompt alone doesn't restrict reasoning; the tool description plays a key role.
D is false - tool execution depends on agent reasoning and prompt logic, not automatic access.
Adding focused usage guidance ensuressafe, relevant, and accurate tool invocation, which is essential in agentic workflows that combine LLM flexibility with enterprise-grade precision.
質問 # 17
Which of the following best describes a challenge faced by traditional automation in complex business processes?
A. Limited ability to automate unstructured tasks that require judgment and contextual awareness
B. Inability to perform repetitive, structured tasks efficiently and reliably
C. Over-reliance on AI-powered agents for all types of automation tasks
D. Excessive flexibility in handling varied workflows across different systems like CRM and ERP
正解：A
解説：
The correct answer isC, which highlights one of the core limitations of traditional rule-based automation (RPA) - itsinability to handle unstructured tasks that require human-like reasoning and contextual awareness.
According to UiPath's Agentic Automation documentation, traditional automation excels atrepetitive, rules- based, structuredtasks. However, it struggles when:
* Input data isunstructured(like emails, PDFs, or chat logs)
* Tasks requirecontextual understanding, decision-making, or judgment
* Processes span across systems with unpredictable flows (e.g., CRM + ERP + email) This is exactly whereAgentic Automationsteps in. It augments classic automation by embeddingLLMs, AI agents, and decision intelligenceto manage tasks involving ambiguity, variability, and natural language - things traditional bots cannot handle well.
Options A, B, and D are incorrect or misleading:
* A is false because traditional automation isnotflexible across varied workflows.
* B is theoppositeof traditional automation - it's agentic.
* D is inaccurate because RPA handles repetitive, structured tasks very well - that's its strength.
By addressing C, UiPath bridges the gap between deterministic automation and intelligent, adaptive systems that can trulyscale across complex, real-world business scenarios.
質問 # 18
A team is designing an agent to convert plain text meeting notes into a formatted agenda (e.g., structured bullet points). Despite providing a few example transformations in the prompt, the agent generates agendas in inconsistent formats. What critical step was likely overlooked?
A. Providing only examples without additional context about the task.
B. Adding randomized formatting examples to test the agent's creativity.
C. Including constraints to limit the length of the agenda for simplicity.
D. Adding clear instructions detailing the output format.
正解：D
解説：
This is a repeat of Question 16, and the correct answer remains A.
Even when few-shot examples are included, omitting clear formatting instructions leads to inconsistent outputs, which can break downstream processes in agentic automation.
UiPath's Prompt Engineering guidance emphasizes that instruction clarity is as important as examples - especially when output format matters (like agendas, classifications, or structured text).
An optimal prompt includes:
A task description (e.g., "Convert meeting notes into a 3-section agenda") Clear format instructions (e.g., use bullet points, bold headers) Few-shot examples Optional constraints like length or tone Without that first element - clear instructions - the LLM has to guess the output format, leading to variance and unreliability.
質問 # 19
How does the impact and feasibility matrix assist in prioritizing agentic automation use cases?
A. By evaluating use cases based on their potential business improvement and ease of implementation considering current resources and technology.
B. By identifying all feasible use cases without considering the potential impact or business benefit of implementing them.
C. By prioritizing the automation of all processes regardless of their feasibility or actual impact on the organization.
D. By focusing solely on high-impact use cases without considering whether implementing them is feasible with available resources.
正解：A
解説：
The correct answer isC- UiPath'sImpact and Feasibility Matrixis a structured tool used in thediscovery and prioritizationphase of agentic automation. It enables teams toevaluate and rank automation opportunitiesbased on two key dimensions:
* Impact: Thebusiness valuedelivered - including time savings, risk reduction, efficiency, or user experience improvement.
* Feasibility: Howpracticalorcost-effectiveit is to implement - considering technical complexity, data availability, resource constraints, and integration readiness.
This matrix helps classify use cases into quadrants such as:
* Quick Wins(High Impact, High Feasibility)
* Strategic Bets(High Impact, Low Feasibility)
* Do Later(Low Impact, High Feasibility)
* Avoid or Backlog(Low Impact, Low Feasibility)
UiPath emphasizes that this method ensures teams focus efforts whereagentic automation can create real business value quickly- avoiding wasted time on low-priority or hard-to-execute ideas.
Options A and B are partial approaches that ignore one of the two axes.
D is incorrect - not all processes should be automated, especially if they're low-value or high-risk.
This balanced framework is a core part of UiPath'sAgentic Design Blueprintmethodology for aligning automation with strategic priorities.