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Oracle 1z0-1128-26 Exam Syllabus Topics:

SectionObjectives
Oracle Fusion Data Intelligence- Administration and Configuration
- Analytics and Reporting
- Bundles, Backup and Restoration
- Semantic Model Extensions and Customization
- Data Pipelines and Data Loading
- Solution Overview and Architecture
- Validation and Troubleshooting
- Data Augmentation
- Instance Provisioning and Configuration
- Security and Access Management
Requirements Management- Implementation and Change Considerations
- Requirements Analysis and Prioritization
- Requirements Gathering
Functional Consultancy- Implementation Decisions
- Troubleshooting and Verification
- Business Requirements Analysis
- Configuration and Validation
Oracle Cloud Infrastructure- Cloud Infrastructure Configuration
- Security and Access
- OCI Concepts Relevant to Fusion Data Intelligence
Oracle Fusion Cloud Applications- Application Data and Business Processes
- Integration with Fusion Data Intelligence
- Fusion Cloud Applications Overview

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The Oracle 1z0-1128-26 certification exam offers a great opportunity for Oracle professionals to demonstrate their expertise and knowledge level. In return, they can become competitive and updated with the latest technologies and trends. To do this they just need to enroll in Oracle Fusion Data Intelligence 2026 Implementation Professional (1z0-1128-26) certification exam and have to put all efforts and resources to pass this challenging 1z0-1128-26 exam. You should also keep in mind that to get success in the Oracle 1z0-1128-26 exam is not an easy task.

Oracle Fusion Data Intelligence 2026 Implementation Professional Sample Questions (Q116-Q121):

NEW QUESTION # 116
You are setting up the dedicated data extraction user account in Oracle Fusion Cloud Applications for integration with Oracle Fusion Data Intelligence.
Which abstract role must be assigned to this user in Fusion Security Console to grant access to functional settings and enterprise setups required for extraction?

Answer: B

Explanation:
A). ASM_FUNCTIONAL_SETTING_USER_ABSTRACT (Correct)
Why it is Correct: In Oracle Fusion Cloud Applications, functional settings, setup offerings, and underlying enterprise datastores are managed via Application Setup Manager (ASM). Assigning the Functional Setting User abstract role (ASM_FUNCTIONAL_SETTING_USER_ABSTRACT / ORA_ASM_APPLICATION_IMPLEMENTATION_ADMIN_ABSTRACT) grants the dedicated data extraction user account the required access to read global setup data, enterprise structures, and functional metadata necessary for extracting data into Oracle Fusion Data Intelligence.
B). ORA_ASM_SYSTEM_ADMINISTRATOR_ABSTRACT (Incorrect)
Why it is Wrong: This is not a standard functional abstract role assigned to FDI data extraction accounts for reading setup data structures.
C). FND_INTEGRATION_MANAGER_JOB_ABSTRACT (Incorrect)
Why it is Wrong: Integration roles handle web service execution and standard middleware connections, but they do not provide the specific ASM functional setup privileges required to query enterprise data structures during pipeline extraction.
D). PER_HUMAN_CAPITAL_ADMIN_JOB_ABSTRACT (Incorrect)
Why it is Wrong: This abstract role is specific to HCM domain administration (Human Resources management) and does not provide the cross-functional Application Setup Manager (ASM) privileges required for FDI global data extractions across all modules (ERP, SCM, CX, HCM).


NEW QUESTION # 117
Before creating your FDI instance, you want to check whether your tenancy has enough capacity for the Autonomous Data Warehouse and Oracle Analytics Cloud resources FDI will provision, so you don't hit a capacity error mid-setup.
What should you do first?

Answer: C

Explanation:
D). Review the Limits, Quotas and Usage page in the OCI Console, and request a service limit increase there if needed.
Explanation of the Correct Answer
Before provisioning resource-intensive cloud services like Oracle Fusion Data Intelligence (FDI)-which automatically spins up underlying resources such as an Autonomous Data Warehouse (ADW) and Oracle Analytics Cloud (OAC)-administrators should check their Oracle Cloud Infrastructure (OCI) tenancy limits.
You can do this by navigating to Governance and Administration > Limits, Quotas and Usage in the OCI Console. If your resource usage is near or at the maximum allowed service limit, you can proactively submit a service limit increase request to prevent deployment failures mid-setup.
Why the Other Options Are Incorrect
A). Skip capacity planning, since FDI provisioning always succeeds regardless of tenancy limits: This is incorrect because cloud tenancies have strict default service limits and quotas; exceeding them will directly result in provisioning errors.
B). Contact Oracle Support to manually pre-allocate ADW and OAC capacity before starting: While support can assist with large limit increases, manual pre-allocation of capacity is not a standard prerequisite workflow; checking limits and requesting increases via the OCI console is the standard procedure.
C). Enable the Preview Features tab, which reserves capacity automatically for new instances: The Preview Features tab in the OCI console enables early-access functionality for services, but it does not automatically bypass tenancy limits or reserve infrastructure capacity.


NEW QUESTION # 118
An implementation team needs to migrate custom security configurations, key metrics, and user experience workbooks from a Test instance in Tenancy A to a Production instance located in a separate, isolated OCI Tenancy B where direct console promotion connectivity is unavailable.
Which mechanism should the administrator use to accomplish this cross-tenancy migration?

Answer: C

Explanation:
Why Option B is Correct
When direct connectivity for promotion (such as standard cross-environment promotion workflows) is unavailable, such as between two isolated OCI tenancies, the Bundles mechanism is the appropriate tool. An administrator can create a bundle in the source (Test) instance to package the custom security configurations, key metrics, and workbooks into a single, portable artifact file. This file can then be downloaded from the source environment and subsequently uploaded into the target (Production) instance to import those artifacts.
Why the Other Options Are Incorrect
A). Uploads: The Uploads center is designed for importing custom, non-standard datasets (often via CSV) into the data warehouse for reporting purposes, not for migrating metadata, security configurations, or semantic model artifacts.
C). Data Validation: Data Validation is a functional task used to verify the integrity and accuracy of data within the warehouse; it is not a tool for exporting or importing application metadata or object configurations between instances.
D). Promote Objects: The Promote Objects tool is designed for standard, direct-connectivity promotion pipelines within a controlled environment hierarchy. It typically requires established direct links or shared service governance that is not feasible when environments reside in isolated, separate OCI tenancies.


NEW QUESTION # 119
Which underlying mechanism does the Oracle Fusion Data Intelligence pipeline use to extract operational data from Oracle Fusion Cloud Applications?

Answer: A

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 # 120
A lead analytics architect is designing a semantic model extension strategy for an enterprise FDI implementation. The project requires joining new transactional fact tables to standard dimensions, creating custom subject areas for business units, and ensuring all customizations can be safely migrated to Production.
Which TWO statements accurately describe the rules and capabilities of semantic model customization in Oracle Fusion Data Intelligence?

Answer: A,D

Explanation:
Why the Correct Statements are Right
Statement A: The Semantic Model Extensions framework in the FDI Console is the mandatory, architecturally supported method for defining custom logical joins, creating custom subject areas, and modifying presentation layers, ensuring customizations are handled within the platform's metadata governance model.
Statement C: The Promote Objects console task is the standardized administrative mechanism for moving validated artifacts, including semantic model extensions, from a tested non-production instance to a production instance.
Why the Incorrect Statements are Wrong
Statement B: Direct editing of system RPD files via tools like the Oracle Analytics Cloud Semantic Modeler (or legacy Model Administration Tool) within a production environment is not the supported path for FDI customizations; it would bypass the console-based governance framework and risk system instability during updates.
Statement D: External Application Merge operations are restricted to non-production instances to ensure that metadata integrations are properly vetted and tested before reaching a production environment.
Statement E: Modifying physical tables directly in the underlying Autonomous Data Warehouse (ADW) does not automatically propagate to the FDI presentation layer; all semantic changes (such as exposing new columns or tables) must be explicitly mapped and published through the Semantic Model Extensions framework to reflect in the analytics subject areas.


NEW QUESTION # 121
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