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Valid UiPath UiPath-AAAv1 Exam Dumps Questions - Confirm Your Success Reply

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UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions (Q30-Q35):

NEW QUESTION # 30
What is a characteristic of using Business Process Model and Notation by process excellence practitioners?

A. It acts as an enabler for standards-based, model-driven collaboration between business groups and IT implementers.
B. It is only used for modeling static workflows without support for dynamic or unpredictable process changes.
C. It solely provides tools for designing aesthetic workflows, with no focus on controlled automation or dynamic process management.
D. It lacks constructs such as error and exception handling support, limiting its use for controlled automation design.

Answer: A

Explanation:
The correct answer isC-Business Process Model and Notation (BPMN)is astandards-based modeling languageused byprocess excellence practitionersto visually define, communicate, and govern business workflows.
In UiPath'sMaestroorchestration platform, BPMN acts as acollaborative bridgebetween:
* Business stakeholders(who define processes and goals)
* Technical implementers(who build automations and agent logic)
BPMN includes rich constructs such as:
* Gateways for conditional logic
* Events for escalations and errors
* Tasks, subprocesses, and human interventions
This makes itideal for dynamic, agentic workflows- not just static process mapping.
A and B are false - BPMN is built foradaptive,automated, andcollaborativeorchestration.
D is wrong - BPMN supportserror handling, retries, and fallback flows, all critical in agentic automation.

NEW QUESTION # 31
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. Prompt
B. Argument
C. Static value
D. Clear value

Answer: B

Explanation:
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

NEW QUESTION # 32
A developer is implementing a few-shot structured prompt for an email classification task. The prompt includes examples of email subjects labeled with their respective classifications, such as "Spam" or "Work." What is the most important aspect to consider when selecting examples for the prompt?

A. Include examples with intentionally incorrect labels to improve training.
B. Choose examples that are diverse, relevant, and typical of the task's expected input.
C. Always use more than 10 examples, regardless of task complexity.
D. Use random and unrelated examples to test the prompt's robustness.

Answer: B

Explanation:
The correct answer isC- the most critical aspect of designing a few-shot prompt in UiPath'sLLM-driven agent frameworkis selecting examples that arediverse,representative, andrelevantto the actual data the agent will encounter in production.
In afew-shot structured prompt, examples are used to demonstrate a pattern the model should follow.
UiPath recommends:
* Usingrealistic examplesfrom actual user inputs or support tickets
* Coveringedge casesor variations in phrasing and tone
* Matching thedesired output structureexactly (e.g., Input: ..., Output: ...) These patterns help the LLMinfer the task correctlyandmaintain consistency, especially when processing unstructured inputs like email subjects.
Option A is incorrect - introducing incorrect labels degrades performance and adds confusion.
B is wrong - the number of examples depends on thetask complexity and token budget. Sometimes 3-5 is ideal.
D undermines task alignment - random examples reduce accuracy and coherence.
UiPath'sPrompt Engineering best practicesprioritizegrounded, contextually rich inputs, particularly when automating classification tasks like spam detection, triage, or intent recognition. High-quality, task-aligned examples lead tomore reliable, human-like agents.

NEW QUESTION # 33
In a UiPath Agent, which statement best captures the essential purpose of a system prompt?

A. It declares the agent's role, overall goal, and operating constraints, and tells the agent when to invoke tools or escalate tasks to a human reviewer.
B. It is used only to preload enterprise context and never influences the agent's decision to call tools.
C. It must enumerate every possible dialogue path the agent could encounter so the model can simply pick a preset answer.
D. It mainly lists output-formatting tags the agent must include, leaving role and goal definition to the user prompt.

Answer: A

Explanation:
Ais correct - in UiPath's agent framework, asystem promptserves as the agent'score grounding mechanism. It is responsible for:
* Defining the agent's identity("You are an IT support assistant...")
* Outlining its goal("Your job is to classify, triage, and resolve tickets...")
* Setting operational boundaries and behaviors
* Specifying when to escalate to a humanor use tools
This aligns with UiPath'sContext Grounding strategy, which separatessystem prompts,user prompts, and tools orchestration. The system prompt providespersistent context, guiding the LLM's behavior consistently across user interactions and actions.
Option B downplays its influence - which is critical.
C reduces it to output formatting, which is only a small part.
D is unrealistic - LLMs generalize; they don't require enumerating every path.
Correct system prompting ensuressafe, consistent, goal-aligned behaviorfrom the agent across dynamic scenarios.

NEW QUESTION # 34
When would it be most appropriate to use Web Search instead of Web Reader in an agent workflow?

A. When accessing and filtering information already embedded within a private enterprise knowledge base.
B. When extracting time-sensitive data from a secure internal system.
C. When the user needs a summarized overview from multiple public sources without a specific URL.
D. When detailed, structured data is required from a known supplier's webpage.

Answer: C

Explanation:
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.

NEW QUESTION # 35
......

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