1z0-1145-1 Oracle Fusion AI Agent Studio Foundations Associate - Rel 1 Questions and Answers

Comprehensive and Detailed Explanation (Exact Extract from Oracle documentation):

To ensure agents generate customer communications that reflect the company’s specific tone, Oracle Fusion AI Agent Studio enables users to tailor both the topics and the system prompts in agent templates. Creating additional topics (Option A) allows the agent to handle a broader range of customer interaction scenarios, ensuring communication is both contextually relevant and aligned with company standards. Modifying the system prompt (Option D) is critical—this is where users can specify not just instructions, but explicit preferences for language, tone, and manner of response. According to the Oracle Fusion AI Agent Studio documentation:

“System prompts define the agent’s personality, communication style, and response format. By specifying company-preferred tone and language in the system prompt, organizations ensure consistent messaging across all customer touchpoints. Topics, meanwhile, extend the agent’s conversational coverage, enabling it to address organization-specific scenarios and maintain the desired tone in diverse situations.”

(Reference: Oracle Fusion AI Agent Studio Implementation Guide, “Customizing Agent Templates for Branding and Communication,” 2024 release, p. 32-33)

Options B and C would restrict the agent’s abilities or disable essential functions, which is not aligned with the goal.

Comprehensive and Detailed Explanation:

Customization in AI Agent Studio is achieved efficiently through:

(B) Editing thesystem promptto inject specific language, tone, or policy details unique to the organization

(C) Updating or adding newtopicsto ensure the agent can handle questions or cases particular to that company’s benefits structureOracle documentation:

“System prompts and topics are the primary vectors for tailoring OOTB agents to reflect company culture, policy, and procedures—enabling rapid adaptation of prebuilt HR workflows.”

(Reference: Oracle Fusion AI Agent Studio Customization Guide, 2024, p. 38)

Source code editing is not supported; document uploads supplement, but do not tailor, the conversational flow.

Practical takeaway:Focus on prompt and topic customization for rapid, compliant benefits agent deployment.

Comprehensive and Detailed Explanation:

The External REST tool allows agents to query third-party logistics platforms in real time using defined REST APIs. This tool is specifically designed for cross-application integration, supporting any external service with a standards-compliant API, and returning data directly into the agent workflow.

Oracle documentation details:

“External REST tools facilitate seamless interaction with external systems, enabling use cases like real-time order tracking, status updates, and supply chain event monitoring without leaving the Oracle Fusion ecosystem.”

(Reference: Oracle Fusion AI Agent Studio Integration Guide, 2024, p. 31)

User Session and Document tools do not enable live external integration; Business Object tool is only for internal Fusion data.

Practical takeaway:Use the External REST tool whenever agents must interact with outside systems.

Comprehensive and Detailed Explanation:

To maintain data privacy and security, Oracle Fusion AI Agent Studio strongly recommends aligning agent permissions with established user permissions. This ensures the agent can only access data appropriate for its role, following the organization’s access controls.

Oracle states:

“By inheriting user permission sets, agents are prevented from accessing data outside their scope. This is the most effective way to enforce confidentiality and regulatory requirements for sensitive business information.”

(Reference: Oracle AI Agent Studio Security Configuration Guide, 2024, p. 21)

Public sharing (B) increases risk, and while specific field limitation (C) is useful, access alignment is foundational.

Practical takeaway:Always configure agent permissions to match user access profiles for strong data protection.

Comprehensive and Detailed Explanation:

Evaluation test data in Oracle Fusion AI Agent Studio is primarily used to assess the quality and reliability of agent responses. Users upload test inputs and reference outputs to compare actual agent performance against expected results during offline testing phases.

From the Oracle documentation:

“Evaluation sets allow developers to simulate real-world usage by supplying a battery of inputs and expected outputs. This enables objective measurement of agent performance before deployment and helps identify gaps or errors in agent logic.”

(Reference: Oracle AI Agent Studio Testing Guide, “Offline Evaluation with Test Sets,” 2024, p. 18)

Option A is incorrect—evaluation sets do not fine-tune the LLM, and Option C misrepresents their function.

Practical takeaway:Always use uploaded evaluation sets for objective, reference-based agent testing.

Comprehensive and Detailed Explanation:

Industry-specific compliance is achieved by directly incorporating relevant language into both the agent’s system prompt and its topics. Adding topics (Option A) ensures that each type of promotion is addressed in context with specific compliance details. Updating the system prompt (Option D) enables the agent to always include mandatory compliance language when generating summaries.

The official Oracle documentation states:

“Customizing system prompts and topics is essential when regulatory or compliance requirements vary by business unit or product line. Prompts can include fixed compliance disclaimers, and topics can be expanded to address promotion-specific rules.”

(Reference: Oracle Fusion AI Agent Studio Customization Guide, “Embedding Compliance in AI Agent Outputs,” 2024, p. 54)

Removing access to past data (B) or merely changing the language model (C) does not address compliance directly.

Practical takeaway:Embed compliance at both the conversation and prompt levels for legal assurance.

Comprehensive and Detailed Explanation:

To automate the order-to-cash process in Oracle Fusion AI Agent Studio, the agent must access structured invoice data (via Business Object tools) and send out those invoices to customers (via the Email tool). The Business Object tool allows the agent to interact securely and efficiently with transactional data in Fusion Applications, ensuring all invoice information is accurate and up to date. The Email tool then automates outbound communication, generating and delivering invoice documents to customer email addresses.

Oracle documentation clarifies:

“Combining Business Object tools and the Email tool enables end-to-end automation of transactional processes—from data extraction and transformation to automated customer communications.”

(Reference: Oracle Fusion AI Agent Studio Tools Integration Guide, 2024, p. 59)

Other options either involve irrelevant tools or miss the integration required for this use case.

Practical takeaway:Always pair data access (Business Object) with communication (Email) for end-to-end workflow automation.

Comprehensive and Detailed Explanation:

TheBenefits Agentis the out-of-the-box (OOTB) template designed to address all employee benefits inquiries, including medical, dental, and vision. This agent is preconfigured to surface benefits information, eligibility, coverage details, and more, supporting self-service HR for employees.

Oracle documentation:

“Benefits Agent templates deliver rapid, accurate answers to benefits-related questions, reducing HR workloads and empowering employees with direct access to their own coverage data.”

(Reference: Oracle Fusion AI Agent Studio OOTB Agents Catalog, 2024, p. 22)

Other agents are focused on IT help desk, service requests, or reporting—not benefits.

Practical takeaway:Deploy the Benefits Agent for any employee-facing HR benefits self-service use case.

Comprehensive and Detailed Explanation:

Thecorrectness scoreevaluates how accurately the agent’s responses match expected outcomes, whilemedian/P99 latencymeasures responsiveness and consistency in real-world conditions. Monitoring these metrics provides immediate feedback on agent quality and user experience.

Oracle documents:

“Dashboards display correctness, latency, and other operational metrics in real time, allowing continuous monitoring and rapid intervention if performance degrades.”

(Reference: Oracle Fusion AI Agent Studio Metrics Dashboard, 2024, p. 20)

UI color and meetings are irrelevant for runtime performance.

Practical takeaway:Monitor correctness and latency for ongoing agent optimization.