UiPath-AAAv1復習テキスト、UiPath-AAAv1復習解答例怠け者の罰は自分の失敗だけでなく、他人の成功でもあります。だから、あなたは自分自身をよりよくしたい場合、UiPath-AAAv1試験資料を買いましょう！UiPath-AAAv1認定試験資格証明書は権威的で、いい仕事を保障できます。UiPath-AAAv1試験資料を勉強し、簡単にUiPath-AAAv1試験に合格できます。 UiPath Certified Professional Agentic Automation Associate (UiAAA) 認定 UiPath-AAAv1 試験問題 (Q26-Q31):質問 # 26
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 ensures the agent understands the tool's purpose and can use it effectively in relevant scenarios.
C. It guarantees that agents can access and modify any business application data, even without tool integration.
D. It allows agents to execute all types of actions automatically, including Context Grounding and Escalations.
正解：B
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 # 27
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. Including constraints to limit the length of the agenda for simplicity.
B. Adding clear instructions detailing the output format.
C. Providing only examples without additional context about the task.
D. Adding randomized formatting examples to test the agent's creativity.
正解：B
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 # 28
When you want a connector field value to be inferred dynamically at run time, which input method should you select in the activity tool?
A. Clear value
B. Argument
C. Static value
D. Prompt
正解：B
解説：
The correct answer isD- selecting"Argument"allows a field value in an activity (such as a connector or tool call) to bedynamically inferred at runtime, based on variables, agent state, or previous node outputs.
UiPath Autopilot™ and Studio Web use the"Argument"option inactivity configurationto passdynamic values, especially in agentic workflows where:
* Outputs of one step must inform inputs of the next
* Contextual reasoning or prompt outputs need to feed tool parameters
* Escalation decisions or classifications affect API calls or record updates This is fundamental in making agent behavioradaptive and responsive to user context- a key trait of UiPath's agentic orchestration layer.
Other options:
* A (Static value) is hardcoded
* B (Clear value) wipes any existing input
* C (Prompt) is used when engaging the LLM, not connectors
質問 # 29
Which configuration area defines what the agent should do after a human resolves the escalation?
A. Assignment recipient list
B. Outcome behavior section
C. Inputs description fields
D. Agent Memory toggle
正解：B
解説：
The correct answer isD- theOutcome Behavior sectionis where you configure how the agent should respond once an escalation is resolved by a human.
In UiPath'sagent design process, when a task is escalated to a human reviewer (viaAction Center, for instance), the agent:
* Waits for human input
* Receives anOutcome(e.g., Approve, Reject, Flag)
* Then continues its process based on logic defined in theOutcome Behavior This may include:
* Proceeding with the automation
* Triggering an alternate flow
* Logging results or escalating further
Other options are incorrect or refer to unrelated settings:
* A (Assignment recipient list) defineswhogets the task - not what happens after.
* B (Agent Memory toggle) governscontext retention, not post-escalation behavior.
* C (Input descriptions) help users understand fields but don't control flow logic.
TheOutcome Behavior sectionensures agents respondintelligently and consistently after human interaction, which is critical in hybrid workflows involving both automation and human-in-the-loop review.
質問 # 30
When would it be most appropriate to use Web Search instead of Web Reader in an agent workflow?
A. When detailed, structured data is required from a known supplier's webpage.
B. When accessing and filtering information already embedded within a private enterprise knowledge base.
C. When the user needs a summarized overview from multiple public sources without a specific URL.
D. When extracting time-sensitive data from a secure internal system.
正解：C
解説：
Cis correct - useWeb Searchin an agent workflow when you need the LLM toquery public internet sources(e.g., news, pricing, documentation), butdon't have a specific URL.
UiPath Autopilot and Agentic Agents distinguish:
* Web Search: For open-ended discovery from the web (e.g., "find latest refund policies from airlines")
* Web Reader: For extracting or summarizing content from aspecific, known URLor internal portal Web Search is ideal for:
* Aggregating public info
* Real-time summaries
* Context retrieval for grounding the prompt
A and B involveinternal sources- use tools likeKnowledge RetrievalorAPI connectorsinstead.
D calls fortargeted extraction, better suited toWeb Readerwith structured parsing.