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Oracle 1z0-1128-26 Exam Syllabus Topics:

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

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2026 Reliable 1z0-1128-26 Test Sample | Reliable 1z0-1128-26 Examcollection Vce: Oracle Fusion Data Intelligence 2026 Implementation Professional

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Oracle Fusion Data Intelligence 2026 Implementation Professional Sample Questions (Q96-Q101):

NEW QUESTION # 96
Which underlying mechanism does the Oracle Fusion Data Intelligence pipeline use to extract operational data from Oracle Fusion Cloud Applications?

Answer: D

Explanation:
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.


NEW QUESTION # 97
Which mapper controls which Descriptive Flexfields are loaded into FDI?

Answer: D

Explanation:
The DFF Mapper (Descriptive Flexfield Mapper) is the dedicated administration tool and user interface within Oracle Fusion Data Intelligence (FDI) used by administrators to select, map, and control which BI-enabled Descriptive Flexfields from source Oracle Fusion Cloud Applications are extracted and loaded into the FDI data model.
Why the Other Options Are Incorrect
A). Security Configuration: This area governs application roles, data security filters, and user permission mappings rather than controlling the selection and extraction of flexfield attributes.
B). PVO Extension: While View Objects (PVOs) are the underlying data structures used for extraction in Oracle BI Cloud Connector, the specific application-level UI utility designed for managing and mapping descriptive flexfields into FDI is the DFF Mapper.
D). Data Augmentation Template: Data augmentation templates are used for extending data models with custom entities or additional derived attributes, but they do not serve as the specific tool for mapping standard or flexfield attributes.


NEW QUESTION # 98
You are creating a Composite Bundle to export a curated package of application catalog artifacts from a development environment to a target instance.
Which artifact type must you plan to manually recreate or re-import in the target instance because it is excluded from Composite Bundles?

Answer: A

Explanation:
D). User-created datasets, connections, and machine learning models
Explanation of the Correct Answer
When you build a Composite Bundle in Oracle Fusion Data Intelligence (FDI)-which combines multiple individual bundle types like Content, Security, and Semantic Models-certain catalog-level items are omitted by design. Specifically, Oracle Analytics Cloud (OAC) content snapshots capture folders excluding datasets.
Because user-created datasets and certain standalone ML artifacts are not natively packaged inside standard catalog or composite bundle exports, administrators must manually recreate or re-import them (such as via Data Visualization Archive files) into the target instance.
Why the Other Options Are Incorrect
A). Customized key metrics and semantic extension subject areas: These elements are fully supported and included natively within Content bundles and Semantic Model bundles, allowing them to be seamlessly packaged and deployed as part of a Composite Bundle.
B). Functional area activation metadata and global reporting parameters: Pipeline parameters, global configurations, and functional area activation metadata are explicitly handled and bundled via Data Configuration bundles, which integrate directly into composite deployment structures.
C). Custom application roles and object security permissions: Custom application roles, data security rules, and role-to-group assignments are fully supported inside Security bundles, meaning they are successfully included and migrated through Composite Bundles.


NEW QUESTION # 99
An organization maintains a strict disaster recovery strategy for its production Oracle Fusion Data Intelligence environment. The lead administrator needs to establish a regular backup routine for all custom analytics configurations and store the backup files in an external OCI Object Storage bucket for long-term retention.
Which TWO actions should the administrator take to establish this backup routine?

Answer: C,D

Explanation:
B). Create an Environment Bundle in the Oracle Fusion Data Intelligence Console under Application Administration.
C). Export the generated bundle file from the Bundles page and upload it to the secure OCI Object Storage bucket.
Explanation of the Correct Answers
To establish a backup routine for custom analytics configurations in Oracle Fusion Data Intelligence (FDI), administrators must leverage the platform's native bundling mechanism.
Environment Bundles (Option B) encompass all essential elements, including semantic model extensions, security roles, and catalog content required to preserve a point-in-time state of the custom environment. They are created directly through the FDI Console under Application Administration > Bundles.
Exporting and Storing (Option C) involves downloading the generated archive bundle file and transferring it to a resilient external destination, such as an OCI Object Storage bucket, for long-term retention and disaster recovery compliance.
Why the Other Options Are Incorrect
A). Export Oracle Analytics Cloud snapshots (.bar files) directly from the underlying OAC administration console on a weekly schedule: Oracle Fusion Data Intelligence does not use traditional standalone OAC snapshots (.bar files) from the underlying OAC console for system backups; it relies entirely on FDI application and environment bundles.
D). Enable the automated weekly data warehouse export in the Security Automation console: There is no such feature or console named the "Security Automation console" designated for automated data warehouse configuration backups in FDI.
E). Run a hard reset on the Autonomous Data Warehouse instance before exporting the application bundle:
Performing a hard reset on the underlying database instance wipes or disrupts the environment and is completely counterproductive when trying to perform a routine backup of existing configurations.


NEW QUESTION # 100
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?

Answer: C

Explanation:
A). You cannot activate functional areas using the Fusion Augmentations data source: According to Oracle Fusion Data Intelligence documentation, the Fusion Augmentations data source is dedicated entirely to managing raw public view object (PVO) data augmentations. Because this source operates independently to keep the main pipeline uncongested, you cannot use it to activate or configure standard prebuilt application functional areas (such as core ERP, HCM, or SCM modules).
Why the Incorrect Answers are Wrong
B). You cannot perform frequent data refreshes on tables created by the Fusion Augmentations source: On the contrary, this feature is explicitly designed to support and accelerate high-frequency data refreshes for custom warehouse tables without resource contention.
C). You must deploy a private endpoint before creating data augmentations in the Fusion Augmentations source: Private endpoint deployment is a general network connectivity configuration and is not a unique prerequisite specifically mandated for using the Fusion Augmentations source.
D). You must re-extract all historical data across all functional areas every time a Fusion Augmentations job runs: Fusion Augmentations do not require a full historical re-extraction across all unrelated functional areas every time they run.


NEW QUESTION # 101
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