1z0-1145-1 Exam Dumps : Oracle Fusion AI Agent Studio Foundations Associate - Rel 1

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:

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:

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.