Oracle 1Z0-1145-1 Online Practice Questions and Exam Preparation

Oracle 1Z0-1145-1 Online Questions & Answers

• Question 1:

  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?

  A. Modify the agent's source code within the template editor
  B. Customize the system prompt of the Benefits Agent template with company policy details
  C. Adjust the agent's topics to cover organization-specific benefits scenarios
  D. Import policy data by uploading documents directly to the agent template
  B. Customize the system prompt of the Benefits Agent template with company policy details
  C. Adjust the agent's topics to cover organization-specific benefits scenarios

  ---

  Explanation

  Customization in AI Agent Studio is achieved efficiently through:

  (B)

  Editing the system prompt to inject specific language, tone, or policy details unique to the organization

  (C)

  Updating or adding new topics to ensure the agent can handle questions or cases particular to that company's benefits structureOracle documentation:

  "System prompts and topics are the primary vectors for tailoring OOTB agents to reflect company culture, policy, and procedures--enabling rapid adaptation of prebuilt HR workflows."

  (

  Oracle Fusion AI Agent Studio Customization Guide, 2024, p. 38)

  Source code editing is not supported; document uploads supplement, but do not tailor, the conversational flow.

  Practical takeaway:Focus on prompt and topic customization for rapid, compliant benefits agent deployment.

• Question 2:

  Which metric is used to calculate the financial cost of using an AI Agent?

  A. Tokens consumed
  B. Accuracy
  C. Latency
  D. Number of users
  A. Tokens consumed

  ---

  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."

  (

  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.

• Question 3:

  Which two dashboard metrics in AI Agent Studio are useful for monitoring agent performance at run time?

  A. Correctness score
  B. User interface color scheme
  C. Number of team meetings held
  D. Median or P99 latency
  A. Correctness score
  D. Median or P99 latency

  ---

  Explanation

  The correctness score evaluates how accurately the agent's responses match expected outcomes, while median /P99 latency measures responsiveness and consistency in real-world conditions. Monitoring these metrics provides immediate

  feedback on agent quality and user experience.

  Oracle documents:

  "Dashboards display correctness, latency, and other operational metrics in real time, allowing continuous monitoring and rapid intervention if performance degrades."

  (

  Oracle Fusion AI Agent Studio Metrics Dashboard, 2024, p. 20)

  UI color and meetings are irrelevant for runtime performance.

  Practical takeaway:Monitor correctness and latency for ongoing agent optimization.

• Question 4:

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

  A. External REST tools for connecting to other systems
  B. Business Object tool for data transactions
  C. Formula Builder tools for financial forecasting
  D. Survey tools for collecting employee feedback
  A. External REST tools for connecting to other systems
  B. Business Object tool for data transactions

  ---

  Explanation

  Oracle AI Agent Studio workflows support the inclusion of both External REST tools and Business Object tools. The External REST tool extends integration to any third-party system with an accessible API, enabling cross-application process automation. The Business Object tool is foundational for internal Fusion data access and transactions, underpinning many agent-driven business scenarios.

  Oracle states:

  "Agent workflows are modular, allowing developers to insert tools such as Business Object tools for internal data access and External REST tools for integrating external platforms. This flexibility supports a wide range of enterprise

  automations."

  (

  Oracle Fusion AI Agent Studio Workflow Reference, 2024, p. 26)

  Formula Builder and Survey tools are not standard workflow options in this context.

  Practical takeaway:For robust workflow design, combine Business Object and External REST tools.

• Question 5:

  For an AI Agent configured to update employee data in Fusion Applications, what method within AI Agent Studio ensures sensitive changes are securely managed?

  A. Configure the agent to send alerts to stakeholders after sensitive data is updated
  B. Add a human-in-the-loop step that requires approval before changing sensitive data
  C. Set agent permissions to restrict certain update actions to specific business hours
  B. Add a human-in-the-loop step that requires approval before changing sensitive data

  ---

  Explanation

  The most secure and auditable method is to introduce a human-in-the-loop approval step before sensitive data changes are committed. This means agent-initiated updates (such as changes to employee records) are held until reviewed and

  approved by a designated human manager or administrator, adding a necessary compliance checkpoint.

  Oracle confirms:

  "Incorporating human approval for sensitive operations is a key security and compliance feature, reducing risk and ensuring regulatory and organizational controls are enforced for critical data changes."

  (

  Oracle Fusion AI Agent Studio Security Practices, 2024, p. 33)

  Automated alerts (A) and restricted hours (C) are useful but do not provide direct control or prevent unauthorized changes in real time.

  Practical takeaway:Always use approval workflows for sensitive, high-stakes data operations.

• Question 6:

  You are reviewing an agent that is in production. Your client wants you to improve the agent's logic and requires you to build a new version. To confirm that an agent's logic has improved in a new version after deployment, which AI Agent Studio capability should you use?

  A. Perform a semantic search for similarity of the two versions
  B. Use the Document tool to compare the versions
  C. Run a comparative analysis of the two versions
  C. Run a comparative analysis of the two versions

  ---

  Explanation

  Comparative analysisin Oracle Fusion AI Agent Studio allows you to objectively evaluate new agent versions against previous ones using identical input and reference sets. This identifies changes in logic quality, correctness, and efficiency,

  ensuring measurable improvements before broader rollout.

  Oracle documentation:

  "The comparative analysis tool is essential for continuous agent improvement, supporting controlled A/B testing and quantitative assessment of new agent logic."

  (

  Oracle Fusion AI Agent Studio Testing Guide, 2024, p. 23)

  Semantic search and document tool are not comparison features for agent logic.

  Practical takeaway:Use comparative analysis to validate and demonstrate agent enhancements.

• Question 7:

  A department requires an agent workflow that must access data in a third-party system and custom data objects within Fusion Applications. What should the department do to build this agent in AI Agent Studio?

  A. Build the agent workflow from scratch
  B. Use generative AI services instead of an agent
  C. Select and customize a pre-built agent template
  D. Add an email tool to the agent workflow
  C. Select and customize a pre-built agent template

  ---

  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."

  (

  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.

• Question 8:

  A retail company needs to streamline its order-to-cash process by using an AI Agent in Oracle AI Agent Studio to generate invoices and send them directly to customers. Which two tools are required to build this automation?

  A. Business Object tools for accessing invoice data and Email for sending customer communications
  B. External REST tool for connecting to a payment gateway and Deep Link for directing users to account pages
  C. Document tool for uploading invoices and Calculator tool for verifying accurate invoices
  D. Notification tools for sending SMS alerts and User Session tool for customizing interface themes
  A. Business Object tools for accessing invoice data and Email for sending customer communications

  ---

  Explanation

  To automate the order-to-cash process in Oracle Fusion AI Agent Studio, the agent must access structured invoice data (via Business Object tools) and send out those invoices to customers (via the Email tool). The Business Object tool allows the agent to interact securely and efficiently with transactional data in Fusion Applications, ensuring all invoice information is accurate and up to date. The Email tool then automates outbound communication, generating and delivering invoice documents to customer email addresses.

  Oracle documentation clarifies:

  "Combining Business Object tools and the Email tool enables end-to-end automation of transactional processes--from data extraction and transformation to automated customer communications."

  (

  Oracle Fusion AI Agent Studio Tools Integration Guide, 2024, p. 59)

  Other options either involve irrelevant tools or miss the integration required for this use case.

  Practical takeaway:Always pair data access (Business Object) with communication (Email) for end-to-end workflow automation.

• Question 9:

  How do you assess the output quality of two versions of an agent?

  A. Run an evaluation of each agent using expected inputs and outputs
  B. Analyze token counts for each agent in the Metrics Reporting Dashboard
  C. Change the agent's system prompt in AI Studio while they are running
  A. Run an evaluation of each agent using expected inputs and outputs

  ---

  Explanation

  To objectively measure and compare the output quality of two agent versions, Oracle Fusion AI Agent Studio provides evaluation tools that run both versions against the same test inputs and reference outputs. This process, called evaluation

  testing, reveals differences in correctness, reliability, and performance.

  From Oracle's documentation:

  "By executing standardized evaluation sets across different agent versions, users can pinpoint improvements or regressions in agent logic, ensuring each update delivers quantifiable quality gains."

  (

  Oracle AI Agent Studio Evaluation Guide, 2024, p. 19)

  Token counts reflect cost, not quality. Changing prompts mid-operation is not a valid assessment approach.

  Practical takeaway:Always use evaluation sets for scientific, reproducible agent quality assessment.

• Question 10:

  A developer notices that not all agents should have access to sensitive customer information. Which feature of AI Agent Studio controls data that each agent can use?

  A. Fusion's role-based access controls
  B. Pre-configured system prompts
  C. Document tools folder permissions
  D. Integration defined in REST tool
  A. Fusion's role-based access controls

  ---

  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."

  (

  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.