Free Oracle 1z0-1145-1 Practice Exam with Questions & Answers | Set: 2

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:

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.