Practice Free 1z0-1145-1 Oracle Fusion AI Agent Studio Foundations Associate - Rel 1 Exam Questions Answers With Explanation

Comprehensive and Detailed Explanation:

Oracle AI Agent Studio is built around a modular framework of agent teams, tools, templates, and topics.

Agent teams: Enable collaborative design, testing, and management of agents.

Tools: Extend functionality—such as data access, communication, or external integration.

Templates: Provide starting points for common business use cases.

Topics: Define the conversational and functional boundaries of each agent.From Oracle’s documentation:

“The architecture is centered on reusable templates, customizable topics, and pluggable tools, all organized and governed by agent teams for enterprise scalability.”

(Reference: Oracle Fusion AI Agent Studio Overview, 2024, p. 7-8)

Options A and B mention unrelated or partial features.

Practical takeaway:Leverage the full modular system for rapid agent deployment and customization.

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.

Comprehensive and Detailed Explanation:

Token consumption is the primary cost driver in Oracle’s AI agent services. Pricing models are typically based on the number of tokens processed during agent operations—including both input and output. Monitoring this metric allows organizations to budget, forecast, and optimize their AI usage and expenses.

From Oracle documentation:

“Token consumption, as tracked in the Metrics Dashboard, reflects the actual usage of Oracle AI resources and underpins all cost calculations.”

(Reference: Oracle Fusion AI Agent Studio Billing and Usage Guide, 2024, p. 5)

Accuracy, latency, and user count may affect value, but only tokens directly determine cost.

Practical takeaway:Track token usage closely to manage operational expenses.

Comprehensive and Detailed Explanation:

To connect with a CRM system outside Oracle Fusion Applications, theExternal REST toolis the definitive choice. This tool enables secure API-based integration with any third-party application, including external CRMs, so the agent can fetch, process, and act on real-time customer data.

Oracle documentation states:

“External REST tools are purpose-built for cross-system integrations, supporting all standard authentication, data formats, and operational workflows for enterprise automation.”

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

Document, Email, and Business Object tools are either for unstructured content, communications, or internal Fusion data only.

Practical takeaway:For any third-party or cross-platform data integration, use External REST.

Comprehensive and Detailed Explanation:

Multi-agent solutions are deployed for complex, multi-step business processes where different agents perform specialized roles (e.g., approvals, notifications, escalations), and must coordinate to achieve an end-to-end result.

Oracle states:

“Multi-agent orchestration is recommended when processes involve multiple domains or require sequential and conditional hand-offs, ensuring modularity, reusability, and optimal automation.”

(Reference: Oracle Fusion AI Agent Studio Orchestration Guide, 2024, p. 51)

Single-function or simple data lookup tasks do not require this level of orchestration.

Practical takeaway:Use multi-agent architectures for scalable, cross-functional automation.

Comprehensive and Detailed Explanation:

Oracle Fusion AI Agent Studio provides pre-built templates that serve as foundational blueprints for common business scenarios. Selecting and customizing a relevant template enables rapid configuration, extension, and integration—supporting both external (via External REST tool) and internal (via Business Object tool) data requirements.

Oracle documentation:

“Pre-built templates accelerate deployment and ensure best-practice workflows, allowing teams to extend functionality and integrate diverse data sources with minimal manual effort.”

(Reference: Oracle AI Agent Studio Templates Guide, 2024, p. 10)

Building from scratch is time-consuming; generative services do not deliver agent workflows; email is not core to the requirement.

Practical takeaway:Always start with a template for hybrid data and workflow needs.

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.