Question 1

You need an agent to fetch real-time sales order status from an external logistics platform. Which tool in AI Agent Studio helps build this automation?

Accepted Answer

A

Explanation: The External REST tool in AI Agent Studio is specifically designed to enable the agent to communicate with external systems via REST APIs. To fetch real-time sales order status from an external logistics platform, the agent needs to make an API call to that platform's endpoint. The External REST tool provides the necessary functionality to configure and execute these external API requests, retrieve the data, and make it available to the agent for processing and responding to the user.

Question 2

What are the components of Oracle AI Agent Studio?

Accepted Answer

C

Explanation: Oracle AI Agent Studio is a comprehensive platform designed for developers to build, manage, and deploy AI agents. Its core components are the foundational elements that facilitate this process. These include Tools, which are functions or APIs that agents can invoke to perform actions; Templates, which provide pre-built starting points for various agent types; and organizational constructs like Agent teams and Topics for managing the development lifecycle and capabilities of multiple agents within a collaborative environment. These components are specific to the agent-building purpose of the studio.

Question 3

Which tool can be used for enabling an agent to send summary notifications to users after key transactions?

Accepted Answer

D

Explanation: The Email tool is specifically designed to enable an agent or an automated process to compose and send email notifications. Within Oracle's application ecosystem, such as Oracle Intelligent Advisor, this tool can be configured to trigger after a key transaction, like the submission of an interview. It allows the system to send a summary of the transaction or other relevant information to designated recipients, directly fulfilling the requirement of sending summary notifications to users.

Question 4

When configuration agents in Oracle AI Agent Studio, Which two types of tools can be included within agent workflow?

Accepted Answer

A, B

Explanation: Oracle AI Agent Studio provides two fundamental types of tools for inclusion in agent workflows. The Business Object tool allows the agent to perform create, read, update, and delete (CRUD) operations on business objects within the Oracle Fusion Cloud Applications instance. The External REST tool enables the agent to connect to and interact with external systems and services using REST APIs. These two tool types provide the core integration capabilities for agents to execute tasks involving both internal Oracle data and external services.

Question 5

When would you use a multi-agent solution?

Accepted Answer

A

Explanation: A multi-agent solution, known as a Digital Assistant with multiple skills in Oracle's terminology, is specifically designed to manage complex conversational flows. It acts as a central orchestrator or "router" that understands the user's intent and delegates the request to the appropriate specialized agent (skill). Each skill is an expert in a specific domain (e.g., one for HR inquiries, another for sales orders). This modular architecture is ideal for handling multifaceted processes that span different business functions, allowing for the development of a comprehensive and scalable conversational AI without creating a single, monolithic, and unmanageable bot.

Question 6

An HR administrator wants to quickly deploy an agent to help employees navigate company benefits
and tailor the agent's responses to their organization's specific policies.
Which two steps can the administrator take using prebuilt templates in AI Agent Studio?

Accepted Answer

B, C

Explanation: Oracle's AI Agent Studio allows for the rapid deployment of conversational agents using prebuilt templates. For an HR administrator, the "Benefits Agent" template serves as a starting point. To tailor it, the administrator can directly modify the template's configuration. Customizing the system prompt (B) allows the administrator to inject specific company policy details, rules, and the desired persona for the agent. Adjusting the agent's topics (C) enables the administrator to define or modify the conversational flows to match the company's unique benefits structure, such as adding a topic for a "Wellness Stipend" or removing one for a benefit the company doesn't offer. These two actions directly customize the agent's behavior and conversational scope.

Question 7

A company wants to implement an AI Agent to automate its customer service process. They want to
use a tool to integrate with their CRM system to retrieve customer data.
What type of tool should they use?

Accepted Answer

B

Explanation: An External REST tool is the correct choice because modern CRM systems expose their data and functionalities through REST APIs. This allows the AI Agent to make standardized HTTP requests (e.g., GET) to specific endpoints to retrieve structured customer data, such as contact details or case history, in a predictable format like JSON. This method is the industry standard for integrating disparate enterprise applications, providing a secure and scalable way for the AI Agent to interact with the CRM in real-time. The tool handles the connection, authentication, and data mapping required for the integration.

Question 8

When preparing to test agents in AI Agent Studio, how do you use evaluation test data?

Accepted Answer

B

Explanation: In Oracle AI Agent Studio, evaluation test data is used for offline testing to measure an agent's performance. This process involves uploading a dataset, typically a CSV file, containing a collection of test inputs (e.g., user questions) and their corresponding ideal or "ground truth" reference answers. The studio then processes these inputs through the agent and compares the agent's generated responses against the provided reference answers. This comparison allows developers to quantitatively assess the agent's accuracy, relevance, and overall quality before deploying it, providing key metrics to guide improvements.

Question 9

A finance team wants to automate the creation of narrative reports using AI Agent Studio. Which two methods are available to streamline report generation?

Accepted Answer

B, D

Explanation: AI Agent Studio streamlines narrative report generation primarily through two methods. First, using a prebuilt agent template specifically designed for narrative reporting provides a foundational structure and workflow, significantly reducing initial setup time and effort. This allows the finance team to start with a working model instead of building one from scratch. Second, customizing the system prompt is crucial for aligning the AI-generated content with specific company standards for tone, style, and terminology. This fine-tuning ensures the output is more accurate and requires less manual revision, directly accelerating the final report creation process.

Question 10

When using prebuilt templates in AI Agent Studio, which two actions are supported?

Accepted Answer

A, C

Explanation: AI Agent Studio in Oracle Digital Assistant accelerates agent development through prebuilt templates. Option C is correct because the studio provides a catalog of Oracle-delivered templates for various domains (e.g., HR, Sales), enabling users to rapidly configure and deploy a functional agent. Option A is also correct as these templates serve as a foundation. After selecting a template, developers must customize and design the single-agent's specific conversational flows, intents, and integrations to align with their unique business requirements. This customization is a core part of the design process.

Free Oracle 1Z0-1145-1 Actual Exam Questions