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

Comprehensive and Detailed Explanation:

Fusion’s role-based access controls (RBAC) are the definitive method for managing agent access to sensitive information. By configuring RBAC, developers ensure that each agent’s permissions mirror those of the intended users, preventing unauthorized data access or manipulation.

Oracle’s documentation states:

“Role-based access control is enforced at both the user and agent levels, ensuring that data exposure aligns strictly with security policies and user responsibilities within the enterprise.”

(Reference: Oracle Fusion Security Administration Guide, 2024, p. 12-14)

System prompts and folder permissions provide context or content restrictions, not security enforcement at the data level.

Practical takeaway:Always audit and configure RBAC settings when deploying agents for sensitive tasks.

Comprehensive and Detailed Explanation:

TheExternal REST toolis specifically used for integrations that require accessing data or services outside of Oracle Fusion Applications. This includes:

(B) Retrieving data from internal but non-Fusion databases (such as a compliance database exposed via REST API)

(D) Accessing third-party systems, like logistics platforms, through their public or private APIsOracle documentation states:

“The External REST tool enables seamless integration between Oracle Fusion AI Agents and any system accessible via RESTful API, supporting scenarios ranging from compliance data validation to real-time supply chain updates.”

(Reference: Oracle AI Agent Studio Integration Guide, 2024, p. 39)

Options A and C are unrelated to REST-based integrations.

Practical takeaway:Use External REST for any external or cross-system data requirements.

Comprehensive and Detailed Explanation (Exact Extract from Oracle documentation):

To ensure agents generate customer communications that reflect the company’s specific tone, Oracle Fusion AI Agent Studio enables users to tailor both the topics and the system prompts in agent templates. Creating additional topics (Option A) allows the agent to handle a broader range of customer interaction scenarios, ensuring communication is both contextually relevant and aligned with company standards. Modifying the system prompt (Option D) is critical—this is where users can specify not just instructions, but explicit preferences for language, tone, and manner of response. According to the Oracle Fusion AI Agent Studio documentation:

“System prompts define the agent’s personality, communication style, and response format. By specifying company-preferred tone and language in the system prompt, organizations ensure consistent messaging across all customer touchpoints. Topics, meanwhile, extend the agent’s conversational coverage, enabling it to address organization-specific scenarios and maintain the desired tone in diverse situations.”

(Reference: Oracle Fusion AI Agent Studio Implementation Guide, “Customizing Agent Templates for Branding and Communication,” 2024 release, p. 32-33)

Options B and C would restrict the agent’s abilities or disable essential functions, which is not aligned with the goal.

Comprehensive and Detailed Explanation:

TheExternal REST toolenables agents to interact with any external inventory management system that exposes a public API. This allows agents to retrieve live inventory data, update stock levels, or trigger workflows based on external inventory events, providing seamless integration across business platforms.

Oracle documentation:

“External REST integration is the method of choice for connecting Oracle Fusion agents to any system with an open API, ensuring real-time and secure enterprise data flows.”

(Reference: Oracle AI Agent Studio External Integration Reference, 2024, p. 28)

Business Object tool is internal; Document and Email tools do not provide external integration.

Practical takeaway:Use External REST for connecting agents with any non-Fusion API-driven system.

Comprehensive and Detailed Explanation:

Security evaluation in AI agents focuses on protection against prompt injection attacks and maintaining content safety. Oracle AI Agent Studio tracks metrics related to both, ensuring agents are not manipulated into inappropriate responses or actions.

The official documentation specifies:

“Prompt injection metrics monitor attempts to manipulate agent instructions, while content safety metrics detect and block the generation of unsafe or non-compliant responses. These are core to maintaining trusted AI interactions and regulatory compliance.”

(Reference: Oracle Fusion AI Agent Studio Security Overview, 2024, p. 46)

User/token count and LLM requests/latency are operational, not security, metrics.

Practical takeaway:Prioritize prompt injection and content safety monitoring for robust agent security.