Free Practice Questions for Oracle 1z0-1145-1 Exam

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:

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:

The External REST tool allows agents to interact with third-party applications and data sources by consuming or sending data through secure APIs. This capability is essential for integrating Oracle Fusion AI Agent Studio agents into broader enterprise ecosystems, enabling automation and data exchange beyond the Oracle environment.

From Oracle documentation:

“External REST tools are used to connect agents with non-Fusion systems, supporting use cases such as data retrieval, workflow orchestration, and integration with external services via standard API protocols.”

(Reference: Oracle Fusion AI Agent Studio Tools Reference, 2024, p. 37)

Deep linking and UI template generation are handled by other specialized tools.

Practical takeaway:Use the External REST tool to extend agent capabilities beyond Oracle Fusion.

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:

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.

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:

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:

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:

Agent tracing in the Metrics Reporting Dashboard allows users to examine every step of an agent’s execution—including prompts, responses, input/output data, and timing—at a granular level. This detailed tracing helps diagnose logic issues, analyze user interactions, and fine-tune performance.

Oracle documentation states:

“The agent trace log offers a transparent, step-by-step view of agent activity, making it invaluable for root-cause analysis and optimizing agent logic and user experience.”

(Reference: Oracle AI Agent Studio Diagnostics and Monitoring, 2024, p. 23)

Tracing does not alter permissions or roles; it is a diagnostic, not a configuration, feature.

Practical takeaway:Use agent tracing to debug, audit, and optimize agent performance.