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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Orchestration & Human-in-the-Loop | 20% | - Escalations and Action Center - UiPath Maestro and BPMN modeling - Service tasks and agent invocation |
| Topic 2: Context & Knowledge Management | 20% | - Context packages and grounding - Data sources and retrieval methods - Knowledge base integration |
| Topic 3: Governance, Evaluation & Trust | 15% | - Guardrails and responsible AI - Agent performance evaluation - Observability and reliability |
| Topic 4: Agentic Automation Fundamentals | 20% | - AI, LLM and generative AI concepts - Core principles of agentic automation - Agents vs traditional robots |
| Topic 5: Agent Design & Development | 25% | - Tools, connections and integration services - Prompt engineering best practices - Agent Builder in Studio Web |
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NEW QUESTION # 12
How long does a key-value pair stored in Agent Memory remain available before it expires by default?
Answer: A
Explanation:
Cis correct - according to UiPath documentation,key-value pairs stored in Agent Memorypersist for12 months by default.
Agent Memoryis a persistent storage layer allowing agents to:
* Recall decisions or context across runs
* Store user preferences, status, or temporary flags
* Maintain statefulness without relying on external databases
This capability is especially useful for:
* Omnichannel customer interactions
* Preference-aware recommendations
* Tracking previously taken actions for continuity
Although memory storage is long-lasting (12 months), developers can:
* Manually resetor expire entries
* Use different memory scopes (e.g., per-user, per-agent)
* Design memory-aware flows for personalization
Option D is incorrect - memory isnot auto-cleared on version updates.
A and B understate the retention policy - default expiration is clearly documented as12 monthsunless changed manually.
Agent Memory is a powerful enabler ofcontext-rich, stateful automations, especially for conversational or ongoing interactions.
NEW QUESTION # 13
A team is building an AI agent that drafts personalized marketing emails. The quality of the drafts depends on tone, alignment with brand voice, and personalization. What evaluation approach is best?
Answer: C
Explanation:
Bis correct - for tasks involvingtone, style, brand alignment, and personalization,model-graded evaluationis the best choice.
UiPath'sagent evaluation frameworksupports multiple types of evaluation:
* Model-graded: LLMs score or classify outputs based on nuanced criteria (e.g., tone match, relevance)
* Human-graded: For subjective tasks
* Deterministic: For strict accuracy checks (e.g., regex, classification) In creative tasks likeemail drafting, deterministic methods (D) or length-based metrics (A)fail to capture nuance.
A/B testing (C) is useful in live experiments, but not for structured evaluation during development.
Model-graded evaluations enablescalable quality checksfor outputs that mustfeel human, on-brand, and context-aware- essential for personalized communication.
NEW QUESTION # 14
Which statement best describes UiPath Maestro's capability for deploying AI agents within a BPMN-modeled process?
Answer: C
Explanation:
The correct answer isC- UiPathMaestroenablesagentic orchestrationby serving as aprocess modeling and execution layerfor AI agents, RPA bots, human reviewers, and external systems. It supports BPMN-based modeling and integrates bothUiPath-built agentsandexternal agents, such as those fromLangChain,CrewAI
, orAgentforce.
Maestro provides aconsistent frameworkthat allows:
* InvokingLLM-powered agentsas subprocesses or service calls
* Managingescalations and human-in-the-loop workflows
* Defining structuredinputs, outputs, and triggersusing visual tools
* Coordinating acrosshybrid environments, mixing RPA, agents, and APIs
This aligns with UiPath'sAgentic Automation vision, where agents are not isolated but operate within enterprise-grade governance and control structures. Maestro enables scalable deployment ofgoal-driven, adaptive agentsinside complex, orchestrated processes.
Option A is incorrect - Maestro doesn't embed code scripts or rely solely on external runtimes.
B is false - Maestro is broader than just Agentic and Integration tasks.
D is outdated - Maestro can orchestrate third-party agents with human review checkpoints via its own framework.
Maestro essentially acts as thecentral nervous systemfor agent coordination, making C the most accurate answer.
NEW QUESTION # 15
In a UiPath Agent, which statement best captures the essential purpose of a system prompt?
Answer: C
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 # 16
What configuration options are available for setting up Context Grounding in UiPath?
Answer: B
Explanation:
Bis correct - UiPath providesend-to-end configuration capabilitiesforContext Grounding, including:
* Creating indexesin Orchestrator
* Controlling accessviafolder-level permissions
* Selecting LLMsfrom theLLM Gateway
* Keeping indexesup to dateusing theUpdate Context Grounding Index activity This allows agents to accessreal-time enterprise context, reducing hallucinations and enhancing accuracy when performing actions or generating responses.
Option A underestimates the feature scope.
C and D are incorrect - UiPath supportsautomated syncs, granular access control, andmulti-model compatibility.
UiPath's platform treats grounding as agoverned, scalable enterprise feature, critical for AI safety and relevance.
NEW QUESTION # 17
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