Oracle 1z0-1128-26 Prüfung Übungen und Antworten

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Oracle 1z0-1128-26 Exam Syllabus Topics:

Section	Objectives
Topic 1: Semantic Model and Analytics Extension	- Dashboards, Reports, and AI Features 1. Leveraging Generative AI Capabilities 2. Configuring Prebuilt and Custom Analytics - Semantic Model Customization 1. Custom Dimensions and Hierarchies 2. Extending Subject Areas and Metrics
Topic 2: OCI and Identity Configuration	- Security and Access Control 1. Roles, Permissions, and Data Security 2. Identity and Access Management - OCI Infrastructure Configuration 1. Instance Provisioning and Networking
Topic 3: Fusion Data Intelligence Overview and Activation Planning	- Activation and Implementation Planning 1. Prerequisites and Environment Setup 2. Project Scope and Implementation Phases - Architecture and Core Components 1. FDI Platform Architecture 2. Prebuilt Analytics and Data Foundation
Topic 4: Administration, Monitoring, and Maintenance	- Ongoing Administration 1. Instance Maintenance and Updates 2. Monitoring and Performance Tuning
Topic 5: Data Pipeline and Warehouse Configuration	- Data Validation and Quality 1. Troubleshooting Data Load Issues 2. Warehouse Data Validation - Data Integration and Pipelines 1. Fusion Data Source Connections 2. Data Pipeline Setup and Scheduling

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Oracle Fusion Data Intelligence 2026 Implementation Professional 1z0-1128-26 Prüfungsfragen mit Lösungen (Q14-Q19):

14. Frage
Which authentication method is officially recommended by Oracle when configuring source application details during the creation of an Oracle Fusion Data Intelligence instance?

A. JWT Based token authentication using a trusted issuer
B. Kerberos Ticket Granting Service token authentication
C. Password Based authentication using basic HTTP auth headers
D. SAML 2.0 Web Browser SSO profile authentication

Antwort: A

Begründung:
B). JWT Based token authentication using a trusted issuer (Correct)
Why it is Correct: Oracle explicitly recommends JWT Based (JSON Web Token) authentication when configuring source Fusion Cloud Applications details during Oracle Fusion Data Intelligence (FDI) instance creation. JWT authentication provides a secure, token-based mechanism utilizing an RSA key pair and a trusted issuer (FAWServiceJWTIssuer), eliminating the risks associated with storing and transmitting static user passwords for automated pipeline extractions.
A). Password Based authentication using basic HTTP auth headers (Incorrect) Why it is Wrong: While password-based authentication is supported as an alternative option, it relies on static service account credentials and is not the officially recommended best practice by Oracle.
C). SAML 2.0 Web Browser SSO profile authentication (Incorrect)
Why it is Wrong: SAML 2.0 Web Browser SSO profile is used for federating end-user logins via interactive browser sessions, not for non-interactive server-to-server data pipeline extraction calls.
D). Kerberos Ticket Granting Service token authentication (Incorrect)
Why it is Wrong: Kerberos is an on-premises network authentication protocol and is not used for authentication between Oracle Cloud SaaS and PaaS instances.

15. Frage
You are implementing Oracle Fusion HCM Analytics, and the source Oracle Fusion HCM Cloud application already has Areas of Responsibility (AOR) implemented, covering the security contexts available in FDI. You want a quick implementation that reuses this existing setup.
Which configuration should you adopt during security implementation?

A. Recreate the AOR hierarchy manually as a custom dimension through Data Augmentation.
B. Ensure users have the appropriate job-specific group assignments before activating the security configuration functional area.
C. Enable Auto Sync Security only after disabling AOR in Fusion HCM Cloud.
D. Automation for AOR isn't possible, so security extensions must be implemented entirely from scratch.

Antwort: B

Begründung:
Ensure users have the appropriate job-specific group assignments before activating the security configuration functional area (A): When Areas of Responsibility (AOR) are already implemented in your source Oracle Fusion HCM Cloud environment, Oracle Fusion HCM Analytics can leverage this pre-existing foundational structure. To achieve a rapid implementation without rebuilding rules from scratch, administrators should verify that users are mapped to the correct job roles and group assignments, and then activate the security configuration functional area so the pipeline can properly ingest and propagate the AOR data.
Explanation of the Incorrect Answers
Automation for AOR isn't possible, so security extensions must be implemented entirely from scratch (B):
This is incorrect because FDI natively supports and integrates with HCM Areas of Responsibility, eliminating the need to build security configurations completely manually.
Enable Auto Sync Security only after disabling AOR in Fusion HCM Cloud (C): You should never disable AOR in your source Fusion HCM Cloud application, as it remains the primary operational source of truth for your HR responsibilities and security definitions.
Recreate the AOR hierarchy manually as a custom dimension through Data Augmentation (D): Data augmentation is designed for adding custom attributes and datasets, not for manually recreating complex enterprise-wide security hierarchies that are already native to the source application.

16. Frage
A multinational enterprise operates a multi-instance FDI architecture with separate Test and Production environments. The IT governance committee requires that all quarterly application updates undergo thorough user acceptance testing in Test prior to Production deployment, and that administrative contacts are properly notified ahead of maintenance windows.
Which TWO administrative actions should be taken in the FDI Console to comply with these release management policies?

A. Manually download the release update installation RPM package from the Uploads center and apply it via SSH command line.
B. Use the Bundles console task to export prebuilt Oracle subject areas from Production back into Test before every update.
C. Ensure valid administrator email addresses are configured on the instance details page to receive advance release notifications.
D. Configure the update schedule in Release Updates on the Test instance to occur at least two weeks before the Production instance update.
E. Re-enable all preview features under Pipeline Parameters to automatically suppress emergency platform security patches.

Antwort: C,D

Begründung:
A). Staggering update schedules for UAT: To comply with governance policies requiring thorough user acceptance testing before production deployment, service administrators must use the Release Updates task to schedule the Test (non-production) instance update well ahead of the Production instance update. This provides a dedicated validation window to catch any regressions or issues.
C). Configuring administrative notification contacts: Ensuring that correct administrator email addresses are configured on the instance details page in the OCI Console guarantees that the IT team receives advance operational notifications, release announcements, and maintenance alerts ahead of scheduled update windows.
Why the Other Options Are Incorrect
B). Manually downloading and applying RPM packages via SSH: Oracle Fusion Data Intelligence (FDI) is a fully managed Oracle Cloud service. Customers do not have root or SSH access to underlying operating systems, and platform updates are managed automatically by Oracle rather than via manual RPM installations.
D). Using the Bundles console task to export prebuilt Oracle subject areas: Prebuilt Oracle subject areas are delivered natively by the service. The Bundles feature is used for migrating custom artifacts and semantic extensions, and pushing configurations backward from Production to Test is neither a standard release management step nor required for quarterly upgrades.
E). Re-enabled preview features to suppress emergency patches: Pipeline parameters govern data ingestion configurations; they do not control preview features, nor can any user configuration suppress mandatory platform security patches or quarterly updates.

17. Frage
Which toggle controls whether the AWS S3 option appears in the Create Connection dialog?

A. Bulk Data Augmentation
B. Frequent Refresh (Preview)
C. AWS S3 Connector (Preview)
D. DFF Mapper

Antwort: C

Begründung:
C Explanation: Documentation lists a dedicated preview toggle for this connector: "On - Display the AWS S3 option in the Create Connection dialog. Off - Hide the AWS S3 option in the Create Connection dialog." Bulk Data Augmentation (A) and Frequent Refresh (B) are unrelated preview features, and the DFF Mapper (D) governs flexfield selection, not connector visibility. Reference: Administering Oracle Fusion Data Intelligence - preview features list

18. Frage
Which underlying mechanism does the Oracle Fusion Data Intelligence pipeline use to extract operational data from Oracle Fusion Cloud Applications?

A. OCI Data Integration REST Connectors
B. Oracle GoldenGate Change Data Capture
C. Oracle Enterprise Data Quality Engine
D. Business Intelligence Cloud Connector

Antwort: D

Begründung:
C). Business Intelligence Cloud Connector
Explanation for the Correct Answer
The Oracle Fusion Data Intelligence (FDI) pipeline leverages the Business Intelligence Cloud Connector (BICC) as the core underlying mechanism to extract bulk transactional data and metadata views (known as Pivot View Objects or PVOs) from Oracle Fusion Cloud Applications. BICC is specifically optimized for high-volume SaaS data extraction, natively supporting both full initial loads and scheduled incremental (delta) updates.
Why the Other Options Are Incorrect
A). Oracle GoldenGate Change Data Capture: GoldenGate provides real-time, log-based database replication, but it is not the built-in application-level extraction mechanism utilized by standard Oracle Fusion Data Intelligence pipelines to extract structured data from Oracle Fusion SaaS applications.
B). OCI Data Integration REST Connectors: While OCI Data Integration handles general-purpose cloud ETL and uses various connectors for custom integrations, it is not the native underlying framework built into the automated Oracle Fusion Data Intelligence pipeline.
D). Oracle Enterprise Data Quality Engine: This engine is built for data profiling, cleansing, validation, and matching, rather than serving as the high-volume data extraction framework for pulling operational tables out of cloud applications.

19. Frage
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