Oracle 1z0-1145-1 Oracle Fusion AI Agent Studio Foundations Associate - Rel 1 Exam Practice Test

Comprehensive and Detailed Explanation:

To connect with a CRM system outside Oracle Fusion Applications, theExternal REST toolis the definitive choice. This tool enables secure API-based integration with any third-party application, including external CRMs, so the agent can fetch, process, and act on real-time customer data.

Oracle documentation states:

“External REST tools are purpose-built for cross-system integrations, supporting all standard authentication, data formats, and operational workflows for enterprise automation.”

(Reference: Oracle Fusion AI Agent Studio Integration Guide, 2024, p. 39)

Document, Email, and Business Object tools are either for unstructured content, communications, or internal Fusion data only.

Practical takeaway:For any third-party or cross-platform data integration, use External REST.

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:

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:

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.

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:

TheExternal REST toolis specifically used for integrations that require accessing data or services outside of Oracle Fusion Applications. This includes:

(B) Retrieving data from internal but non-Fusion databases (such as a compliance database exposed via REST API)

(D) Accessing third-party systems, like logistics platforms, through their public or private APIsOracle documentation states:

“The External REST tool enables seamless integration between Oracle Fusion AI Agents and any system accessible via RESTful API, supporting scenarios ranging from compliance data validation to real-time supply chain updates.”

(Reference: Oracle AI Agent Studio Integration Guide, 2024, p. 39)

Options A and C are unrelated to REST-based integrations.

Practical takeaway:Use External REST for any external or cross-system data requirements.

Comprehensive and Detailed Explanation:

Multi-agent solutions are deployed for complex, multi-step business processes where different agents perform specialized roles (e.g., approvals, notifications, escalations), and must coordinate to achieve an end-to-end result.

Oracle states:

“Multi-agent orchestration is recommended when processes involve multiple domains or require sequential and conditional hand-offs, ensuring modularity, reusability, and optimal automation.”

(Reference: Oracle Fusion AI Agent Studio Orchestration Guide, 2024, p. 51)

Single-function or simple data lookup tasks do not require this level of orchestration.

Practical takeaway:Use multi-agent architectures for scalable, cross-functional automation.

Comprehensive and Detailed Explanation:

Fusion’s role-based access controls (RBAC) are the definitive method for managing agent access to sensitive information. By configuring RBAC, developers ensure that each agent’s permissions mirror those of the intended users, preventing unauthorized data access or manipulation.

Oracle’s documentation states:

“Role-based access control is enforced at both the user and agent levels, ensuring that data exposure aligns strictly with security policies and user responsibilities within the enterprise.”

(Reference: Oracle Fusion Security Administration Guide, 2024, p. 12-14)

System prompts and folder permissions provide context or content restrictions, not security enforcement at the data level.

Practical takeaway:Always audit and configure RBAC settings when deploying agents for sensitive tasks.

Comprehensive and Detailed Explanation:

AI Agent Studio’s prebuilt templates empower users to:

(A) Design and deploy single-agent workflows customized for specific business requirements

(C) Rapidly configure and publish Oracle-delivered agents, leveraging an up-to-date catalogOracle documentation:

“Prebuilt templates simplify and accelerate the deployment of AI agents by providing best-practice workflows and easy-to-configure agent designs, suitable for a wide variety of business functions.”

(Reference: Oracle Fusion AI Agent Studio Templates Guide, 2024, p. 11-13)

Automatic deletion and direct import from other clouds are not standard features.

Practical takeaway:Leverage templates for quick, reliable agent deployment and workflow design.

Comprehensive and Detailed Explanation:

For executive summaries,Median Correctnessprovides a measure of agent response accuracy, whileError Rate and Median/P99 Latencyoffer direct insights into agent reliability and responsiveness. These are core metrics for tracking agent quality and operational performance over time.

Oracle documentation explains:

“Median Correctness, Error Rate, and Latency metrics are presented in dashboard visualizations, providing business leaders with quick, actionable summaries of AI agent effectiveness and user experience.”

(Reference: Oracle Fusion AI Agent Studio Executive Reporting, 2024, p. 17)

Prompt injection and LLM requests track security or operational events, not overall performance quality.

Practical takeaway:Use correctness, error, and latency metrics for executive reporting.

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:

Oracle provides aprebuilt narrative reporting agent template(B) to simplify and automate financial report generation. Teams can further streamline outputs by customizing thesystem prompt(D) to ensure the agent’s narrative aligns with company standards in tone, detail, and content.

Oracle documentation:

“Prebuilt templates and prompt customization enable finance teams to automate narrative report generation rapidly, supporting consistency and compliance with internal standards.”

(Reference: Oracle Fusion AI Agent Studio Reporting Automation Guide, 2024, p. 40-41)

Multi-language and data visualization changes are advanced customizations, not primary streamlining features.

Practical takeaway:Use templates and prompt tuning for fast, standardized report automation.