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| Section | Objectives |
|---|---|
| Topic 1: Requirements Management | - Requirements Analysis and Prioritization - Implementation and Change Considerations - Requirements Gathering |
| Topic 2: Oracle Fusion Cloud Applications | - Integration with Fusion Data Intelligence - Application Data and Business Processes - Fusion Cloud Applications Overview |
| Topic 3: Oracle Cloud Infrastructure | - Cloud Infrastructure Configuration - OCI Concepts Relevant to Fusion Data Intelligence - Security and Access |
| Topic 4: Functional Consultancy | - Implementation Decisions - Troubleshooting and Verification - Business Requirements Analysis - Configuration and Validation |
| Topic 5: Oracle Fusion Data Intelligence | - Validation and Troubleshooting - Solution Overview and Architecture - Bundles, Backup and Restoration - Semantic Model Extensions and Customization - Data Pipelines and Data Loading - Security and Access Management - Analytics and Reporting - Administration and Configuration - Data Augmentation - Instance Provisioning and Configuration |
>> 1z0-1128-26 Vorbereitung <<
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100. Frage
Which underlying mechanism does the Oracle Fusion Data Intelligence pipeline use to extract operational data from Oracle Fusion Cloud Applications?
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.
101. Frage
You have deployed an FDI instance and need to validate that a specific metric's values match between FDI and Oracle Transactional Business Intelligence. Your functional administrator account currently can't view the Data Validation project output in Oracle Analytics Cloud's Common folder.
What should you do before you can view that output?
Antwort: A
Begründung:
Assign the user to the Integration Specialist Group (D): To view the Data Validation project output located within the OAC Common folder, users must possess the correct administrative and integration privileges.
Specifically, assigning the user to the Integration Specialist Group (or appropriate security groups tied to validation and semantic administration) ensures they have the correct permissions to access the underlying validation workbooks and data comparison outputs.
Explanation of the Incorrect Answers
Enable the Preview Features tab in the Console (A): Preview features enable early-access or experimental platform capabilities and have no impact on accessing existing reporting folders or validation projects.
Grant the user the System Administrator system role only (B): While administrative roles are necessary, OAC catalog object permissions and integration artifacts specifically rely on group-level memberships (such as the Integration Specialist Group) for proper catalog folder access.
Reset the FDI Service user password (C): Resetting service credentials addresses authentication or connection failures rather than resolving catalog folder permission and authorization blocks.
102. 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?
Antwort: B,E
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.
103. Frage
Your organization is preparing to apply a new FDI Application Release and wants to understand what happens if no manual action is taken before the predefined auto-update date, while also confirming business users won't lose access to reporting during the process.
Which two statements are correct about this behavior?
Antwort: B,C
Begründung:
Explanation of the Correct Answers
Oracle automatically updates your data model and content on the predefined date if you haven't updated manually (B): If an administrator does not manually trigger or reschedule an Application Release before its scheduled deadline, Oracle automatically applies the update on the predefined auto-update target date to ensure environments remain current.
All reports and dashboards remain available during the upgrade process (D): FDI is architected with high availability in mind; during standard application updates and data model patching, end users do not lose access to their existing dashboards and reports, ensuring uninterrupted business operations.
Explanation of the Incorrect Answers
Application Releases only apply to Platform-level security patches, not the data model (A): This is incorrect because Application Releases specifically deliver data model enhancements, new semantic structures, and updated analytical content, whereas Platform Releases handle underlying service infrastructure and security patches.
Business users lose access to all dashboards for 24 hours during any Application Release (C): This is false; updates do not cause extended 24-hour downtime for reporting environments.
You cannot change the auto-update target date once it's been set by Oracle (E): Administrators are given flexibility within the Console's Release Updates area to reschedule or adjust auto-update target dates within the allowed maintenance window before the automated application occurs.
104. Frage
Which of the following statements is true regarding the migration of semantic model customizations from a non-production instance to a Production instance?
Antwort: B
Begründung:
Why Option D is Correct
When promoting semantic model extensions, key metrics, and reporting configurations from a non-production environment to a Production instance in Oracle Fusion Data Intelligence, both environments must be operating on compatible release versions. Ensuring release compatibility guarantees that metadata definitions, logical models, and underlying object references packaged from the source can be seamlessly interpreted and applied by the target instance without syntax failures or broken schema dependencies.
Why the Other Options Are Incorrect
A). Promoted semantic model extensions automatically erase and reset all transactional data tables in the Production Autonomous Data Warehouse: Semantic model promotions apply changes to metadata repository structures and reporting layers; they do not drop, erase, or reset transactional data tables stored within the underlying Autonomous Data Warehouse.
B). Using Promote Objects transfers user password credentials and OCI IAM identity domain policies alongside semantic model extensions: The object promotion feature targets application-specific configurations, semantic extensions, KPIs, and granular object/data security maps. It does not manage, transfer, or overwrite user account passwords or tenancy-wide OCI IAM identity domain policies.
C). Customizations promoted from non-production remain in draft status in Production until an administrator manually rebuilds the physical database schema: Promoted customizations are deployed and activated on the target environment through the managed platform workflow. They do not require manual physical database schema rebuilds to exit a draft state.
105. Frage
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