Oracle AI Agent Studio for Fusion Applications Developers Professional Intermediate Practice Exam: Medium Difficulty 2025

A developer is building an AI agent for HR inquiries in Fusion Applications. The agent needs to understand employee questions about benefits, leave policies, and payroll. Which combination of components should the developer configure to enable natural language understanding and context retention across multi-turn conversations?

During the development of a procurement AI agent, a developer needs to enable the agent to access real-time supplier data from Fusion Procurement Cloud. The agent must authenticate securely and retrieve data without exposing credentials. What is the recommended approach for implementing this integration?

A developer is customizing an AI agent to handle complex approval workflows in Fusion ERP. When users inquire about invoice approval status, the agent should check multiple approval stages and provide consolidated responses. Which design pattern best supports this requirement?

An organization wants to deploy an AI agent to production after successful testing in a development environment. The agent integrates with multiple Fusion Applications modules. What deployment strategy minimizes risk while ensuring proper validation before full rollout?

A developer notices that an AI agent for expense reporting is providing inconsistent responses when users ask similar questions using different phrasing. Which approach should be implemented to improve the agent's understanding and response consistency?

An AI agent needs to handle sensitive employee compensation data while responding to HR queries in Fusion HCM. What combination of security measures should be implemented to ensure data protection and compliance?

A development team is building an AI agent that must support both English and Spanish speakers accessing Fusion Applications. The agent needs to understand queries and provide responses in both languages. What is the most effective approach to implement this multilingual capability?

An AI agent in production is experiencing performance degradation during peak usage hours, with response times exceeding acceptable thresholds. Which optimization technique should be prioritized to improve response time while maintaining functionality?

A developer needs to test an AI agent's ability to handle error scenarios when Fusion Applications services are temporarily unavailable. Which testing approach ensures the agent provides appropriate fallback responses and maintains user experience during service disruptions?

An AI agent for Fusion SCM needs to escalate complex supply chain issues to human agents when it cannot resolve queries autonomously. The escalation should include conversation context and user information. What implementation approach best supports seamless human handoff?