Oracle 1z0-1145-1 Dumps

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 is built around a modular framework of agent teams, tools, templates, and topics.

Agent teams: Enable collaborative design, testing, and management of agents.

Tools: Extend functionality—such as data access, communication, or external integration.

Templates: Provide starting points for common business use cases.

Topics: Define the conversational and functional boundaries of each agent.From Oracle’s documentation:

“The architecture is centered on reusable templates, customizable topics, and pluggable tools, all organized and governed by agent teams for enterprise scalability.”

(Reference: Oracle Fusion AI Agent Studio Overview, 2024, p. 7-8)

Options A and B mention unrelated or partial features.

Practical takeaway:Leverage the full modular system for rapid agent deployment and customization.

Comprehensive and Detailed Explanation:

Cloning an OOTB agent template is standard practice when an organization needs to extend core functionality or customize behavior. By cloning, users can:

Add unique tools or integrations specific to their business scenario (B)

Modify system prompts and topics for branding, regulatory, or operational needs (C)Oracle documentation:

“Cloning templates provides a safe, supported method for introducing organization-specific enhancements and ensures upgrades or changes do not impact the standard baseline agents.”

(Reference: Oracle Fusion AI Agent Studio Customization Guide, 2024, p. 35)

Bypassing security controls (A) is not permitted, and direct Marketplace publishing (D) is not standard for internal clones.

Practical takeaway:Clone OOTB agents for scalable, controlled customizations.

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:

Oracle Fusion AI Agent Studio provides pre-built templates that serve as foundational blueprints for common business scenarios. Selecting and customizing a relevant template enables rapid configuration, extension, and integration—supporting both external (via External REST tool) and internal (via Business Object tool) data requirements.

Oracle documentation:

“Pre-built templates accelerate deployment and ensure best-practice workflows, allowing teams to extend functionality and integrate diverse data sources with minimal manual effort.”

(Reference: Oracle AI Agent Studio Templates Guide, 2024, p. 10)

Building from scratch is time-consuming; generative services do not deliver agent workflows; email is not core to the requirement.

Practical takeaway:Always start with a template for hybrid data and workflow needs.

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:

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:

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:

Comparative analysisin Oracle Fusion AI Agent Studio allows you to objectively evaluate new agent versions against previous ones using identical input and reference sets. This identifies changes in logic quality, correctness, and efficiency, ensuring measurable improvements before broader rollout.

Oracle documentation:

“The comparative analysis tool is essential for continuous agent improvement, supporting controlled A/B testing and quantitative assessment of new agent logic.”

(Reference: Oracle Fusion AI Agent Studio Testing Guide, 2024, p. 23)

Semantic search and document tool are not comparison features for agent logic.

Practical takeaway:Use comparative analysis to validate and demonstrate agent enhancements.

Comprehensive and Detailed Explanation:

Reasoning agents in Oracle Fusion AI Agent Studio are designed for higher-order tasks: they can plan, optimize, and execute multi-step workflows. In contrast, Answer Agents are intended for contextual question-and-answer tasks, offering direct responses based on user input.

According to Oracle:

“Reasoning agents employ advanced workflow capabilities, enabling them to chain multiple actions and optimize outcomes based on user-defined objectives. Standard Answer Agents are focused on providing contextual guidance, leveraging AI to address specific user queries without workflow automation.”

(Reference: Oracle Fusion AI Agent Studio Agent Types Overview, 2024, p. 13-14)

Options A and C misstate agent functions.

Practical takeaway:Choose Reasoning Agents for complex workflows; Answer Agents for direct Q&A.

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:

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.