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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance, Evaluation & Trust | 15% | - Agent performance evaluation - Guardrails and responsible AI - Observability and reliability |
| Topic 2: Orchestration & Human-in-the-Loop | 20% | - Service tasks and agent invocation - Escalations and Action Center - UiPath Maestro and BPMN modeling |
| Topic 3: Agent Design & Development | 25% | - Prompt engineering best practices - Tools, connections and integration services - Agent Builder in Studio Web |
| Topic 4: Context & Knowledge Management | 20% | - Knowledge base integration - Context packages and grounding - Data sources and retrieval methods |
| Topic 5: Agentic Automation Fundamentals | 20% | - Agents vs traditional robots - Core principles of agentic automation - AI, LLM and generative AI concepts |
1. 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 clear instructions detailing the output format.
C) Adding randomized formatting examples to test the agent's creativity.
D) Including constraints to limit the length of the agenda for simplicity.
2. Why would you choose the Argument input method for an activity field?
A) Prompts a person to supply the value each time the field is evaluated at runtime.
B) Lets the agent infer the field value at runtime using the Description and its reasoning.
C) Receives a runtime value from an agent input argument defined earlier in the workflow.
D) Applies one constant value you enter during design every time the agent executes the activity.
3. When exploring agentic automation discovery, which dimension ensures the solution aligns with the responsibilities and challenges of the individuals involved?
A) Focusing solely on task dependencies while neglecting the daily pain points of individuals executing these tasks.
B) Mapping systems, applications, and tools without understanding how they interact with human roles.
C) Assessing structured and unstructured knowledge contexts required for the tasks but excluding the personas performing these operations.
D) Defining the role or persona by considering the people performing the tasks and their needs, challenges, and responsibilities.
4. Which of the following is an essential aspect of crafting a comprehensive agent story during the validation stage?
A) Generalizing automation opportunities across all processes and roles without tailoring solutions based on specific personas or organizational contexts.
B) Understanding the daily pain points and inefficiencies of the selected role to identify tasks that consume unnecessary time and potential gains from agent intervention.
C) Starting immediately with agent behavior prototyping using tools like the Agents designer canvas in Studio Web without assessing mapped automations or impacted systems.
D) Brainstorming automation use cases without validating personas or critically evaluating existing processes, focusing purely on agent capabilities.
5. What configuration options are available for setting up Context Grounding in UiPath?
A) Configuration is limited to enabling Context Grounding without any integration with Orchestrator or folder permissions.
B) Context Grounding setup relies entirely on manual indexing and lacks automated sync capabilities.
C) Context Grounding requires default settings without any options for index creation or LLM selection.
D) You can configure Context Grounding by creating indexes in Orchestrator, managing folder-level permissions, selecting an LLM from the LLM Gateway, and syncing data using the Update Context Grounding Index activity.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: D |
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