1z0-1128-26: Oracle Fusion Data Intelligence 2026 Implementation Professional Dumps & PassGuide 1z0-1128-26 Examen

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Oracle 1z0-1128-26 Exam Syllabus Topics:

SectionObjectives
Security Configuration- Security automation
- Object security
- Users and groups
- Data-security assignments
Data Pipeline Configuration and Validation- Global and reporting parameters
- Preview and Generally Available features
- Functional areas
- Detailed and scheduled data-validation processes
- Data validation prerequisites
Implementation Prerequisites and Instance Creation- Oracle Cloud Infrastructure prerequisites and identity considerations
- Private endpoint deployment considerations
- Single Sign-On activation and Fusion Applications prerequisites
- Ordering and activation requirements
- FDI instance provisioning and configuration
Customization, Extensibility, Administration, and Maintenance- AI and AIDP capabilities
- User experience customization
- Security framework customization
- Semantic model extensions
- Bundles for backup and restore
- Upgrades and releases
- Incremental uploads and instance lifecycle activities
- Test-to-production migration and bulk deployment
- Data Augmentation and External Applications
Oracle Fusion Data Intelligence Fundamentals- Oracle Fusion Data Intelligence solution, capabilities, components, and functional architecture
- Oracle Fusion Cloud Applications and Oracle Cloud Infrastructure concepts

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Oracle 1z0-1128-26: Oracle Fusion Data Intelligence 2026 Implementation Professional braindumps PDF & Testking echter Test

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Oracle Fusion Data Intelligence 2026 Implementation Professional 1z0-1128-26 Prüfungsfragen mit Lösungen (Q116-Q121):

116. Frage
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?

Antwort: C,D

Begründung:
Statement B (The Frequent Refresh feature must be enabled...): Before high-frequency intraday schedules can be set up in Oracle Fusion Data Intelligence (FDI), the administrator must explicitly navigate to the Enable Features page under Generally Available Features and enable the Frequent Refresh feature flag.
Statement E (The incremental pipeline schedule... must be configured for a daily frequency): Frequent data refreshes operate as intraday runs that build upon the baseline incremental pipeline. Therefore, the base incremental pipeline schedule for the applicable functional areas (like GL and PO) must be set to run at a daily frequency before frequent 4-hour intraday intervals can be layered on top of it.
Why the Incorrect Answers are Wrong
Statement A: Private endpoints are used for secure VCN connectivity, but they do not bypass or alter the Autonomous Data Warehouse maintenance window.
Statement C: Semantic model update jobs are intentionally bypassed during frequent data refresh runs to maximize pipeline speed, and administrators certainly do not need to manually push a model update every 4 hours.
Statement D: The virus scanner utility is strictly for inspecting uploaded files for security risks and has no role in scanning intraday staging tables.


117. Frage
Which of the following statements is true regarding bulk data file management using the Uploads center in Oracle Fusion Data Intelligence?

Antwort: C

Begründung:
Why Option C is Correct
When managing data through the Uploads center in Oracle Fusion Data Intelligence (FDI), administrators have the capability to download two distinct file types for reference and editing:
Sample Files: Provide a CSV template with predefined, pre-populated column headers designed to familiarize users with expected data structures.
Current Files: Provide a snapshot containing active system configurations or assignments currently deployed in the environment, which can be modified for updates or migrations.
Why the Other Options Are Incorrect
A). Uploading a CSV file requires administrators to modify column header names to match the exact schema column names of the underlying data warehouse: Modifying or changing the pre-existing header names in downloaded FDI upload templates will cause processing errors. Administrators are explicitly instructed not to change any header names.
B). Bulk uploads of security assignments and financial categories can be submitted using either XML or JSON formatted files: FDI only supports comma-separated values (.csv) for data upload and download operations in the Uploads center; XML and JSON formats are not accepted for these templates.
D). Uploading a Financial Category Assignments file automatically creates missing chart of accounts segment values in Oracle Fusion Cloud Applications: Uploaded mapping files only map and configure categorization metadata within the analytics layer; they cannot dynamically create or write new foundational chart of accounts setup records back into source Oracle Fusion Cloud Applications.


118. Frage
An implementation consultant is preparing to configure global pipeline settings for an integrated Oracle Fusion Data Intelligence deployment. The project team needs to ensure that core enterprise defaults for currency conversion, exchange rates, and transaction extraction start dates are properly established before launching data pipeline extraction.
Which TWO statements correctly describe the rules and behavior of Global Parameters in Oracle Fusion Data Intelligence?

Antwort: C,E

Begründung:
Statement B: Global Parameters in Oracle Fusion Data Intelligence (FDI) govern system-wide baseline settings that apply universally across all active functional areas, including enterprise reporting standards like the Initial Extract Date and Target Currency.
Statement D: Because global settings dictate how data is extracted and transformed across the environment from day one, administrators must configure and save Global Parameters prior to activating functional areas and launching the initial data pipeline extraction.
Why the Incorrect Answers are Wrong
Statement A: Changing the Initial Extract Date after the pipeline has run does not automatically pull in prior historical years through an incremental extract; the parameter is locked and requires a data reset to adjust historical boundaries.
Statement C: Global Parameters must be configured before running data pipelines, not after initial execution.
Statement D (alternative interpretation) / E: Global parameters apply environment-wide and are managed under Data Configuration rather than being set on an isolated, subject-area-by-subject-area basis.


119. Frage
An organization completed the initial pipeline extraction for ERP Analytics six months ago using an Initial Extract Date set to January 1, 2020.
The implementer now attempts to edit the Initial Extract Date global parameter to January 1, 2015, to pull five additional years of historical data. What should the implementer expect?

Antwort: D

Begründung:
Why the Correct Answer is Right
D). Locked Parameter and Reset Requirement: In Oracle Fusion Data Intelligence (FDI), once the initial data pipeline execution has run successfully, critical baseline settings like the Initial Extract Date become locked to prevent data corruption, orphan records, and timeline discrepancies in the Autonomous Data Warehouse. To expand the historical extraction boundary further back (e.g., from 2020 to 2015), the implementer must perform a data pipeline reset or re-initialization rather than simply editing the active parameter.
Why the Incorrect Answers are Wrong
A). The global parameter can be updated directly and will automatically trigger an incremental extract for the newly requested date range: Incremental extracts only capture changes made forward in time from the current high-water mark; they cannot automatically pull back historical gaps for years prior to the established initial boundary without a full reset.
B). The global parameter updates immediately but only applies to newly activated functional areas without affecting ERP Analytics: Global parameters govern the core extraction logic across the environment, and historical boundaries cannot be bypassed or treated as functional-area-specific subsets in this manner.
C). The global parameter is automatically overwritten by the latest transaction timestamp in Oracle Fusion Cloud Applications: The system does not automatically overwrite administrative configuration parameters based on source system timestamps; these boundaries are explicitly controlled by administrator inputs.


120. Frage
You have created and published several semantic model extensions in your non-production environment and verified that all custom subject areas are functioning correctly in reporting workbooks. How should you move these tested semantic model customizations into your Production environment?

Antwort: C

Begründung:
C). Use the Promote Objects console task to promote the semantic model changes to Production: In Oracle Fusion Data Intelligence (FDI), once semantic model extensions, security configurations, and key metrics are fully developed and tested in a non-production master environment, administrators use the Promote Objects console task under Application Administration. This feature securely packages and pushes the tagged semantic model changes and configurations directly to the target production instance.
Why the Incorrect Answers are Wrong
A). Run an External Application Merge directly against the Production instance URL: External application merges are intended for integrating legacy or external Oracle Analytics repositories into non-production environments rather than directly updating live production schemas via URL connection.
B). Execute an incremental data pipeline reload from Fusion Applications into Production: Pipeline reloads handle the transactional data extraction and synchronization into the Autonomous Data Warehouse, whereas semantic model extensions manage metadata, subject areas, and logical layer definitions.
D). Re-create the semantic model manually using SQL Developer in Autonomous Data Warehouse: Manual database-level scripts in SQL Developer cannot replicate or properly compile semantic model extensions managed through the FDI Console's native sandbox and branch framework.


121. Frage
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