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

Comprehensive and Detailed Explanation:

Oracle AI Agent Studio empowers users to update Out-of-the-Box (OOTB) agents to reflect the latest regulatory requirements. Creating additional topics (Option B) allows the agent to handle inquiries regarding new regulations, directly addressing recent updates. Revising the system prompt (Option C) provides explicit guidance for the AI’s behavior, ensuring it includes or emphasizes regulatory requirements in its responses.

As described in Oracle documentation:

“Topics structure the agent’s conversational capabilities, while system prompts anchor the agent’s tone, context, and mandatory instructions. To keep pace with changing regulations, organizations can update topics for new compliance scenarios and revise system prompts to instruct the agent on updated legal language or requirements.”

(Reference: Oracle Fusion AI Agent Studio Implementation Guide, “Updating Agents for Compliance,” 2024 release, p. 40)

Options A and D are not suitable, as restricting access or using manual lookup would diminish the agent’s effectiveness and fail to integrate new regulatory content efficiently.

Practical takeaway:Regularly update both topics and prompts for ongoing compliance.

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:

Correctnessmeasures the accuracy of agent responses, whileLatencymeasures the time taken to respond—together, these are the two most important metrics for optimizing both answer quality and customer experience.

Oracle documentation:

“To improve both efficiency and satisfaction, focus on correctness (response accuracy) and latency (response speed) metrics in the monitoring dashboard.”

(Reference: Oracle Fusion AI Agent Studio Performance Guide, 2024, p. 29)

Token counts and error rates provide operational, not customer-centric, insights.

Practical takeaway:Monitor correctness and latency to continually enhance support agent workflows.

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:

To objectively measure and compare the output quality of two agent versions, Oracle Fusion AI Agent Studio provides evaluation tools that run both versions against the same test inputs and reference outputs. This process, called evaluation testing, reveals differences in correctness, reliability, and performance.

From Oracle’s documentation:

“By executing standardized evaluation sets across different agent versions, users can pinpoint improvements or regressions in agent logic, ensuring each update delivers quantifiable quality gains.”

(Reference: Oracle AI Agent Studio Evaluation Guide, 2024, p. 19)

Token counts reflect cost, not quality. Changing prompts mid-operation is not a valid assessment approach.

Practical takeaway:Always use evaluation sets for scientific, reproducible agent quality assessment.

Comprehensive and Detailed Explanation:

Oracle AI Agent Studio workflows support the inclusion of both External REST tools and Business Object tools. The External REST tool extends integration to any third-party system with an accessible API, enabling cross-application process automation. The Business Object tool is foundational for internal Fusion data access and transactions, underpinning many agent-driven business scenarios.

Oracle states:

“Agent workflows are modular, allowing developers to insert tools such as Business Object tools for internal data access and External REST tools for integrating external platforms. This flexibility supports a wide range of enterprise automations.”

(Reference: Oracle Fusion AI Agent Studio Workflow Reference, 2024, p. 26)

Formula Builder and Survey tools are not standard workflow options in this context.

Practical takeaway:For robust workflow design, combine Business Object and External REST tools.

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:

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:

Structured agent testing requires both the ability to manage test cases (Option D) and compare outcomes over time (Option B). Oracle Fusion AI Agent Studio provides robust tools for managing evaluation datasets and for comparing the results of different test runs to assess improvements or regressions in agent behavior.

The documentation states:

“Evaluation test data management is fundamental for consistent agent assessment. Additionally, built-in comparison tools enable users to review performance across multiple versions or configurations, ensuring that any changes made to agents result in measurable improvements.”

(Reference: Oracle AI Agent Studio Evaluation Framework, 2024, p. 24)

Options A and C are not part of the standard testing toolkit.

Practical takeaway:Maintain organized test data and always compare results for continuous quality.