Free and Premium Oracle 1z0-1145-1 Dumps Questions Answers

Comprehensive and Detailed Explanation:

Secure and up-to-date data retrieval in Oracle Fusion is best achieved by configuring the agent to access business objects within Fusion itself, where data governance, security policies, and real-time updates are enforced.

From the official documentation:

“Business objects in Fusion Applications are subject to strict security and data freshness guarantees. Agents configured to interact directly with these objects inherit these protections, ensuring all data retrieved is current and appropriately secured.”

(Reference: Oracle Fusion AI Agent Studio Data Security Guide, 2024, p. 28)

Other methods either obscure data, risk data loss, or weaken security.

Practical takeaway:Always utilize native business object access for secure, real-time data.

Comprehensive and Detailed Explanation:

Oracle best practices require that, before publishing a new agent:

(C)Design time/offline testingis performed, using evaluation sets, to verify that all workflows and responses behave as intended

(D)System prompts and topicsare reviewed and adjusted to ensure accuracy, clarity, and alignment with organizational goalsFrom Oracle documentation:

“Thorough pre-publication testing and configuration review are mandatory steps, ensuring robust, error-free deployments that meet both functional and compliance requirements.”

(Reference: Oracle Fusion AI Agent Studio Deployment Checklist, 2024, p. 16-18)

Other options are either not required or not relevant to the deployment workflow.

Practical takeaway:Always test and review configuration before agent publication.

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:

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:

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:

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:

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:

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.

Comprehensive and Detailed Explanation:

The most secure and auditable method is to introduce ahuman-in-the-loop approval stepbefore sensitive data changes are committed. This means agent-initiated updates (such as changes to employee records) are held until reviewed and approved by a designated human manager or administrator, adding a necessary compliance checkpoint.

Oracle confirms:

“Incorporating human approval for sensitive operations is a key security and compliance feature, reducing risk and ensuring regulatory and organizational controls are enforced for critical data changes.”

(Reference: Oracle Fusion AI Agent Studio Security Practices, 2024, p. 33)

Automated alerts (A) and restricted hours (C) are useful but do not provide direct control or prevent unauthorized changes in real time.

Practical takeaway:Always use approval workflows for sensitive, high-stakes data operations.

Comprehensive and Detailed Explanation:

Latency measures the time it takes for the agent to respond, which directly impacts user experience. Token count reflects how much data is processed and helps gauge the cost of running the agent, as Oracle’s AI services are often billed per token.

According to Oracle:

“Monitoring latency ensures users are not left waiting, maintaining satisfaction and engagement. Tracking token usage provides transparency regarding processing costs, which is vital for budgeting and operational efficiency. Together, these metrics help optimize both agent performance and cost management.”

(Reference: Oracle AI Agent Studio Metrics and Reporting, “Latency and Token Analytics,” 2024, p. 11)

Accuracy is tested separately; latency and tokens are about speed and cost.

Practical takeaway:Regularly monitor both latency and tokens to balance user satisfaction and operational expenses.

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.