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Oracle 1z0-1128-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Pipeline Configuration and Validation | - Functional areas - Data validation prerequisites - Global and reporting parameters - Preview and Generally Available features - Detailed and scheduled data-validation processes |
| Topic 2: Oracle Fusion Data Intelligence Fundamentals | - Oracle Fusion Cloud Applications and Oracle Cloud Infrastructure concepts - Oracle Fusion Data Intelligence solution, capabilities, components, and functional architecture |
| Topic 3: Implementation Prerequisites and Instance Creation | - Ordering and activation requirements - FDI instance provisioning and configuration - Private endpoint deployment considerations - Single Sign-On activation and Fusion Applications prerequisites - Oracle Cloud Infrastructure prerequisites and identity considerations |
| Topic 4: Customization, Extensibility, Administration, and Maintenance | - Semantic model extensions - Test-to-production migration and bulk deployment - User experience customization - AI and AIDP capabilities - Security framework customization - Upgrades and releases - Data Augmentation and External Applications - Bundles for backup and restore - Incremental uploads and instance lifecycle activities |
| Topic 5: Security Configuration | - Security automation - Data-security assignments - Users and groups - Object security |
Everything Candidates Want to Know About the 1z0-1128-26 Exam
The Oracle Fusion Data Intelligence 2026 Implementation Professional exam is the official Oracle assessment behind the Oracle Fusion Data Intelligence 2026 Implementation Professional credential, which sits at the Professional level. Passing it confirms that your skills meet the vendor's current requirements rather than a textbook outline. It also connects with related certifications such as Oracle Fusion Data Intelligence 2024 Implementation Professional, so it can anchor a broader certification path.
According to the official exam information, the Oracle Fusion Data Intelligence 2026 Implementation Professional exam includes 64 questions and gives you 120 minutes to complete them. Treat that as a pacing exercise, not just a knowledge check: bank the questions you know first, flag the ones that stall you, and circle back instead of burning minutes on a single item. Before test day, run at least one full timed session in the PremiumVCEDump desktop or online test engine, so the clock never feels unfamiliar when it counts.
The official prerequisites for the Oracle Fusion Data Intelligence 2026 Implementation Professional exam are as follows: No mandatory prerequisite certification is publicly stated for this certification. Practical familiarity with Oracle Fusion Cloud Applications, Oracle Cloud Infrastructure, and Oracle Fusion Data Intelligence implementation is recommended.. Requirements can change over time, so confirm the details on the official Oracle exam page at https://www.oracle.com/education/certification/ before you book your seat.
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The Oracle Fusion Data Intelligence 2026 Implementation Professional syllabus is organized into 5 domains. The leading areas include Implementation Prerequisites and Instance Creation, Oracle Fusion Data Intelligence Fundamentals, and Customization, Extensibility, Administration, and Maintenance. For the complete, topic-by-topic breakdown, scroll up to the Exam Topics section above.
Oracle Fusion Data Intelligence 2026 Implementation Professional Sample Questions:
A financial organization needs to refresh General Ledger and Purchase Order data every 4 hours during quarter-end closing to ensure analysts have intraday transactional visibility. The administrator is setting up the Frequent Data Refresh schedule in the Oracle Fusion Data Intelligence Console.
Which TWO conditions or prerequisites must be satisfied to successfully configure and run this intraday frequent data refresh?
- A. The Frequent Refresh feature must be enabled under Pipeline Features on the Enable Features page prior to scheduling.
- B. A private endpoint must be deployed in OCI to bypass the daily Autonomous Data Warehouse maintenance window.
- C. The administrator must execute a manual semantic model update after every 4-hour refresh cycle.
- D. The Virus Scanner console task must be configured to scan intraday staging tables prior to ingestion.
- E. The incremental pipeline schedule for the applicable functional area must be configured for a daily frequency.
Correct Answer: A,E 🗳️
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You have enabled the Fusion Augmentations feature under Generally Available Features to extract raw public view object (PVO) data at a higher frequency without congesting the main pipeline.
Which limitation applies when using the Fusion Augmentations data source on the Data Configuration page?
- A. You cannot activate functional areas using the Fusion Augmentations data source.
- B. You cannot perform frequent data refreshes on tables created by the Fusion Augmentations source.
- C. You must deploy a private endpoint before creating data augmentations in the Fusion Augmentations source.
- D. You must re-extract all historical data across all functional areas every time a Fusion Augmentations job runs.
Correct Answer: A 🗳️
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Which service sits at the heart of FDI, providing the presentation and visualization layer?
- A. BI Cloud Connector
- B. Data Pipeline
- C. Oracle Analytics Cloud (OAC)
- D. Autonomous Data Warehouse
Correct Answer: C 🗳️
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You are creating custom data security rules for five regional business units in Oracle Fusion Data Intelligence using five distinct data-type application roles. How does the Semantic Model Extensions framework organize these custom data security definitions within the customization pipeline?
- A. Data security rules automatically generate an exported .DVA archive file in the Uploads Center
- B. Security configurations are saved as unmanaged SQL scripts in Autonomous Data Warehouse
- C. All custom data security definitions are combined into a single global system parameter
- D. Each data-type application role configuration generates exactly one customization step
Correct Answer: D 🗳️
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A service administrator wants to schedule an automated monthly full data reload for the General Ledger functional area while maintaining standard daily incremental extractions.
Which feature must be enabled under Pipeline Features in Generally Available Features to expose this capability on the Pipeline Settings page?
- A. Scheduled Full Data Reload
- B. Override Data Pipeline Schedules
- C. Frequent Refresh
- D. Reset and Reload the Data Source
Correct Answer: A 🗳️
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