UiPath UiPath-AAAv1関連合格問題、UiPath-AAAv1ソフトウエアUiPath-AAAv1準備資料で20〜30時間学習した直後に、今後の試験に自信を持つことができるという誇張はありません。数万人のお客様が弊社の試験資料の恩恵を受けて、簡単に試験に合格しました。データは、私たちのハイパス率が信じられないほど98％から100％であることを示しました。間違いなく、あなたの成功はUiPath-AAAv1トレーニングガイドで100％保証されています。リンクをクリックするだけで概要を表示できるのが便利であり、あらゆる種類のUiPath-AAAv1バージョンを体験できます。 UiPath Certified Professional Agentic Automation Associate (UiAAA) 認定 UiPath-AAAv1 試験問題 (Q50-Q55):質問 # 50
When is it appropriate to rely on Clipboard AI inside Autopilot for Everyone for a copy-and-paste task?
A. Whenever you need to paste any content regardless of operating system, file type, or the number of pastes.
B. When you plan to paste several different tables in succession during the same chat and expect Autopilot for Everyone to queue each paste automatically.
C. When you are using macOS and want Autopilot for Everyone to perform a copy and paste on a Linux VM.
D. When you are working on a Windows machine and need to perform a single AI-powered paste of a table (for example, from a PDF) into another application directly from the chat interface.
正解：D
解説：
Cis correct -Clipboard AI, as embedded insideAutopilot for Everyone, is optimized forWindows environments, particularly when performingstructured copy-and-paste operations, such as extracting tables from a PDF and transferring them to Excel, Word, or web forms.
Best-use scenario:
* You copy structured data (like a table or text block)
* Paste it once into theAutopilot chat window
* Ask Autopilot to "paste this into [target app] in a structured format"
* It leverages Clipboard AI's logic to map and format the content intelligently Option A is incorrect - Autopilot doesn't queue multiple pastes. Each interaction is scoped.
B overstates platform independence - current support isWindows-first.
D is incorrect - Clipboard AI doesnot support macOS or cross-VM pastingyet.
This capability helpsnon-technical users automate repetitive copy-paste actions, improving speed, accuracy, and structure when transferring information across applications.
質問 # 51
How does adjusting the "Number of results" setting affect the agent's use of context from indexes?
A. It changes the number of chunks returned, impacting both the size of the grounding payload and the filtering of relevant information.
B. It makes the agent ignore all context completely, resulting in outputs that are entirely disconnected from the indexed data, regardless of its relevance to the query or prompt provided.
C. It modifies the similarity threshold for chunk retrieval and lowers the number of tokens used.
D. It selects which Orchestrator folder to use, determining the location of stored workflows and deciding which set of predefined rules will apply during data retrieval and processing.
正解：A
解説：
The correct answer isC. In UiPath'sContext Groundingconfiguration, the"Number of results"setting directly affects how manychunks of indexed knowledgeare retrieved and passed to the LLM at runtime.
These chunks come from preprocessed documents and are used to build thegrounding payload- the content added to the agent's prompt for context-aware generation.
By increasing the number of results:
* The LLM has access tomore context, which can improve response quality if the added information is relevant.
* However, it alsoincreases the token load, which can reduce prompt space or introduce irrelevant noise if poorly tuned.
Reducing the number of results leads tomore focused prompts, with only top-ranked relevant chunks (based oncosine similarity) included. This is crucial when using large indexes or when LLM context windows are limited.
Option A confuses this setting with similarity threshold tuning, which is a separate parameter.
Option B is false - the agent doesnot ignore contextunless context grounding is disabled.
Option D misrepresents the function - Orchestrator folder selection is unrelated to this retrieval setting.
In summary, the "Number of results" setting allows fine-tuning ofhow much supporting context is retrieved and passed to the model. It is a key control in optimizing performance, precision, and relevance of grounded agent responses.
質問 # 52
Which persona typically models agentic processes in Maestro with BPMN and governs their full lifecycle?
A. Process excellence analysts optimizing performance
B. Process owners in business teams
C. Process operations teams and system admins
D. Automation developers in the Center of Excellence
正解：B
解説：
The correct answer isD- according to UiPath'sMaestro orchestration framework, theprocess ownerplays a central role in defining and governing agentic workflows.
In UiPath Maestro:
* Process ownersuseBPMN diagramsto map the flow of work, decision points, hand-offs, and automation steps.
* They defineagent boundaries, escalation rules, and success conditions.
* This model empowersbusiness-side expertsto own automation design while working alongside technical teams.
Unlike classic automation that's owned by IT or CoE developers, agentic processes requirebusiness-context awareness, makingprocess ownersessential to managing thefull lifecycle- from design to governance to optimization.
Options A and B refer to support roles. Option C (developers) implement parts of the design, but don't usually govern the lifecycle or own the process vision.
This reflects UiPath's broader push forbusiness-led automation, enabled by Maestro and Autopilot™ in Studio Web.
質問 # 53
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 output 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 input 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 # 54
An agent uses Web Search, Slack integration, and a custom process to resolve IT support tickets. The agent must:
* Retrieve relevant troubleshooting steps from the web.
* Notify the user via Slack if a solution is found.
* Escalate unresolved tickets via a custom process.
Which evaluation strategy ensures comprehensive coverage while avoiding redundancy?
A. Create more than 30 evaluations for Slack notifications, more than 30 for web searches, and more than
30 for escalation processes.
B. Use random input sampling across all tools and rely on the default "LLM-as-a-Judge" assertion.
C. Group evaluations into sets: Valid web results triggering Slack notifications, Invalid web results triggering escalations, Edge cases.
D. Create 30 evaluations for Slack notifications, 30 for web searches, and 30 for escalation processes.
正解：C
解説：
Cis correct - UiPath recommends structuringagent evaluationsaroundfunctional setsthat align with expected behavior and edge conditions. This strategy:
* Validatesend-to-end logic, not just isolated tool usage
* Helps assess whethertool combinationswork as designed
* Supportstraceable diagnosisof failures or regressions
In this scenario:
* Set 1: Valid Web Search results#Slack notification (success path)
* Set 2: Failed/irrelevant Web Search#Escalation (fallback path)
* Set 3: Edge cases (e.g., ambiguous input, multiple valid matches)
This avoids theredundancyandvolume bloatseen in options B and D.
Option A is too loose - relying solely on random inputs and "LLM-as-a-Judge" introduces risk ofincomplete testing.
Grouping byreal-world interaction patternsmirrors how agents behave in production. It ensures high coverage while keeping evaluation efficient, consistent, andtightly aligned with business logic.