1Z0-1155-2 Sample Questions & Answers
Most of the questions target building agents and integrating data sources, the single biggest weight, plus testing agent performance, writing effective prompts, admin and user role assignments, Guided Journey deployment, and configuring Agent Tools with topics.
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- Question 1IntermediateSelect 2
Identifying and configuring the components of AI Agent Studio · Configure a multi-agent team
A developer is defining a multi-agent team in AI Agent Studio. Which TWO steps are essential parts of configuring a multi-agent team? (Select TWO)
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Correct answers: A, B
Configuring a multi-agent team involves selecting and assigning specialized sub-agents to the team so they can handle specific domain tasks. It also requires defining the orchestration or routing logic (often via a Supervisor Agent) so the team knows how to delegate user requests appropriately.
Configuring a multi-agent team involves selecting and assigning specialized sub-agents to the team so they can handle specific domain tasks. It also requires defining the orchestration or routing logic (often via a Supervisor Agent) so the team knows how to delegate user requests appropriately.
- Question 2Beginner
Identifying and configuring the components of AI Agent Studio · Structure topics for clarity and efficiency
When organizing topics to enable effective conversations in AI Agent Studio, what is the recommended best practice for structuring topics for clarity and efficiency?
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Correct answer: B
Structuring topics hierarchically based on clear user intents and business domains allows the agent to accurately route inquiries and maintain context. Grouping everything together confuses the routing logic, while creating separate agents for every single query is highly inefficient.
- Question 3Beginner
Identifying and configuring the components of AI Agent Studio · Map tool functionality to business needs
A developer needs to configure an agent that helps HR employees navigate directly to the specific 'Update Employee Compensation' screen within Oracle Fusion Applications during a chat session. Which Agent Tool should be utilized to achieve this?
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Correct answer: B
The Deep Link Tool is specifically designed to provide users with direct navigational links to specific screens or pages within Oracle Fusion Applications, facilitating seamless transitions from the chat interface to the transactional UI. The Business Object Tool is for data manipulation, not UI navigation.
- Question 4Beginner
Identifying and configuring the components of AI Agent Studio · Identify and differentiate appropriate use cases for Workflow Agents, Supervisor Agents, and Hybrid Agents
True or False: Supervisor Agents are designed to execute strict, deterministic step-by-step processes without relying on the LLM's dynamic reasoning capabilities.
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Correct answer: B
False. Workflow Agents are the ones designed to execute strict, deterministic step-by-step processes. Supervisor Agents, on the other hand, rely heavily on the LLM's dynamic reasoning to orchestrate tasks, make decisions, and delegate to sub-agents based on the user's input.
- Question 5Intermediate
Identifying and configuring the components of AI Agent Studio · Identify conversation topics based on business requirements
During the discovery phase, an implementation team analyzes transcripts of user interactions with the HR department. They notice frequent inquiries about 'Maternity Leave Eligibility', 'Paternity Leave Requests', and 'Adoption Leave Policies'. What is the most appropriate way to organize these topics in AI Agent Studio?
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Correct answer: B
Categorizing related topics under a logical parent category (like 'Family Leave') improves clarity, enhances the agent's intent routing efficiency, and provides a better navigation structure for users compared to keeping them as scattered top-level topics.
- Question 6Intermediate
Identifying and configuring the components of AI Agent Studio · Describe multi-agent teams and use cases
An architect is designing an agent that must evaluate a user's prompt, decide whether the intent relates to IT Support or Facilities Management, and then hand off the conversation to the respective specialized agent. Which agent design pattern is required to orchestrate this interaction?
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Correct answer: C
A Multi-Agent Team orchestrated by a Supervisor Agent is the correct pattern. The Supervisor Agent uses LLM reasoning to evaluate the user's intent and delegates the task to the appropriate specialized sub-agent (e.g., IT Support Agent or Facilities Management Agent).
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