Free UiPath-AAAv1 sample questions

Correct answer: Implement an Agentic Workflow where an AI Agent acts as the orchestrator: it analyzes the email, invokes the RPA robot as a 'tool' to fetch the credit score, and then synthesizes both data points to recommend a decision.

This approach correctly identifies the strengths of each component: The Agent handles the cognitive task (unstructured analysis and synthesis), while the RPA robot handles the deterministic, repetitive task (legacy system interaction). The Agent orchestrates the flow, calling the robot as a specific skill/tool when needed.

Correct answer: Because the process requires probabilistic reasoning to diagnose issues (Agent strength) combined with the ability to execute actions in a system via tools (Agent capability), which pure GenAI lacks.

Pure Generative AI can reason but cannot inherently execute actions (like scheduling) or reliably navigate legacy UIs without agentic tooling. Traditional RPA struggles with the 'vague descriptions' and dynamic diagnosis. An Agent combines the reasoning of GenAI with the execution capabilities of tools (RPA for the web interface).

Correct answers: The agent's persona (e.g., 'You are an experienced travel agent').; Operational constraints (e.g., 'Do not book flights costing over $2000 without escalation').

Constraints and guardrails are core components of a System Prompt to ensure safe and consistent behavior across all interactions.

Correct answer: Create an Index in the Context Grounding service, ingest the files from the Storage Bucket, and map this Index to the Agent's context property.

This is the standard RAG implementation in UiPath. You index the source documents (from the Storage Bucket) to make them searchable/retrievable, and then bind that Index to the Agent so it can retrieve relevant chunks to augment its response generation.

Correct answer: Configure a 'Create Action' task within the agent's toolset and instruct the agent to invoke this tool when the claim amount > $500 OR fraud_flag equals 'Suspicious'.

HITL in agentic workflows is typically implemented by giving the agent a tool (like creating a task in Action Center or a specific escalation tool) and providing clear instructions (logic) in the prompt on the conditions under which to use that tool. This allows the agent to evaluate the criteria dynamically.

Correct answer: Model-graded evaluation for both tone and factual consistency against the context.

Tone (Professional/Empathetic) is subjective and linguistic, requiring an LLM (Model-graded) to evaluate effectively. Factual correctness based on context (RAG) is also best evaluated by a Model-graded approach (comparing answer to source context), as strict string matching (Deterministic) would fail if the wording differs slightly.

Correct answer: Few-shot prompting

Few-shot prompting involves providing a small set of examples (shots) in the prompt to demonstrate the desired behavior, format, or logic to the model. This is highly effective for enforcing structure and reducing hallucinations.

Correct answer: Define a strict Output Schema containing only the 'Status' and 'DeliveryDate' fields, filtering out the unnecessary data before it reaches the agent.

Best practice for Agent tools is to minimize the context window usage and cognitive load. By defining a strict schema with only relevant fields, you reduce token costs and prevent the agent from getting distracted by irrelevant data.

Correct answer: Use a 'Service Task' and select the 'Start and wait for agent' option.

To ensure the process waits for the Agent's output (the draft) before moving to the next step, the 'Start and wait for agent' configuration is required. This makes the execution synchronous regarding the process flow.

Correct answer: A business user needs to quickly summarize a long email thread and draft a response based on the key points.

Autopilot for Everyone is designed for personal productivity tasks, ad-hoc assistance, and simplifying daily activities for individual business users, such as summarization and content generation.