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

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:

Thecorrectness scoreevaluates how accurately the agent’s responses match expected outcomes, whilemedian/P99 latencymeasures responsiveness and consistency in real-world conditions. Monitoring these metrics provides immediate feedback on agent quality and user experience.

Oracle documents:

“Dashboards display correctness, latency, and other operational metrics in real time, allowing continuous monitoring and rapid intervention if performance degrades.”

(Reference: Oracle Fusion AI Agent Studio Metrics Dashboard, 2024, p. 20)

UI color and meetings are irrelevant for runtime performance.

Practical takeaway:Monitor correctness and latency for ongoing agent optimization.