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Oracle 1z0-1128-26 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Pipeline and Warehouse Configuration- Data Validation and Quality
  • 1. Warehouse Data Validation
    • 2. Troubleshooting Data Load Issues
      - Data Integration and Pipelines
      • 1. Data Pipeline Setup and Scheduling
        • 2. Fusion Data Source Connections
          Topic 2: Fusion Data Intelligence Overview and Activation Planning- Architecture and Core Components
          • 1. FDI Platform Architecture
            • 2. Prebuilt Analytics and Data Foundation
              - Activation and Implementation Planning
              • 1. Prerequisites and Environment Setup
                • 2. Project Scope and Implementation Phases
                  Topic 3: Semantic Model and Analytics Extension- Semantic Model Customization
                  • 1. Extending Subject Areas and Metrics
                    • 2. Custom Dimensions and Hierarchies
                      - Dashboards, Reports, and AI Features
                      • 1. Configuring Prebuilt and Custom Analytics
                        • 2. Leveraging Generative AI Capabilities
                          Topic 4: OCI and Identity Configuration- OCI Infrastructure Configuration
                          • 1. Instance Provisioning and Networking
                            - Security and Access Control
                            • 1. Roles, Permissions, and Data Security
                              • 2. Identity and Access Management
                                Topic 5: Administration, Monitoring, and Maintenance- Ongoing Administration
                                • 1. Monitoring and Performance Tuning
                                  • 2. Instance Maintenance and Updates

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                                    Oracle Fusion Data Intelligence 2026 Implementation Professional Sample Questions (Q122-Q127):

                                    NEW QUESTION # 122
                                    Which service sits at the heart of FDI, providing the presentation and visualization layer?

                                    Answer: D

                                    Explanation:
                                    B). Oracle Analytics Cloud (OAC)
                                    Explanation of the Correct Answer
                                    Oracle Analytics Cloud (OAC) sits at the architectural heart of Oracle Fusion Data Intelligence (FDI) as the core engine powering the presentation, semantic modeling, and visualization layer. It enables business users to build, view, and interact with prebuilt and custom dashboards, rich workbooks, key performance indicators (KPIs), and visual analytics.
                                    Why the Other Options Are Incorrect
                                    A). Autonomous Data Warehouse: The Oracle Autonomous Data Warehouse (ADW) functions as the underlying database repository and data store where transformed data resides, rather than providing the user- facing presentation layer.
                                    C). BI Cloud Connector: BI Cloud Connector is an extraction mechanism used to pull data out of Oracle Fusion Cloud applications into storage repositories, rather than rendering visualizations or reports.
                                    D). Data Pipeline: The data pipeline handles the Extract, Transform, and Load (ETL) workflows that orchestrate data movement from source applications into the data warehouse, rather than serving analytics presentation needs.


                                    NEW QUESTION # 123
                                    Which Console area would you check if you need to see the available data-model and content patches for your FDI application and their auto-update target dates?

                                    Answer: B

                                    Explanation:
                                    Release Updates (B): This Console area provides visibility into scheduled content patches, data-model updates, and feature rollouts for your Fusion Data Intelligence (FDI) application, including their associated auto-update target dates.
                                    Explanation of the Incorrect Answers
                                    Data Configuration (A): This area manages functional area setups, data pipelines, and extraction parameters rather than release schedules and patch deployment timelines.
                                    Bundle Repository (C): This section handles the import and export of custom content migration packages, semantic model archives, and backup snapshots.
                                    Enable Features (D): This toggle menu is used to activate early-access, preview, or newly available features within the environment rather than reviewing update patches and timelines.


                                    NEW QUESTION # 124
                                    An implementer created a custom dimension in a separate customization branch and now wants to configure object security for it.
                                    What must be done before the new custom dimension appears in the Configure Object Permissions wizard?

                                    Answer: D

                                    Explanation:
                                    D). Branch Merging: In Oracle Fusion Data Intelligence (FDI), configuration steps-including the Configure Object Permissions wizard-only operate on the Main branch of the semantic model. Any new custom object, such as a custom dimension created within a separate customization branch, is not visible or available for security configuration until that branch is successfully merged into the Main branch.
                                    Why the Incorrect Answers are Wrong
                                    A). Convert the customization branch into a data security step: Data security steps are distinct configurations used for row/column filtering based on data-type roles; they do not control the availability of metadata objects within the object permissions wizard.
                                    B). Reassign the custom dimension from a duty-type role to a data-type role: Object security (governing visibility of dimensions and attributes) relies on duty-type application roles. Changing the role type would not address the requirement of making the metadata object available for configuration in the first place.
                                    C). Run a full data pipeline execution to generate metadata in Autonomous Data Warehouse: While a data pipeline execution is necessary to populate the data warehouse with information, it does not manage the semantic model's configuration state or make objects available within the Configure Object Permissions wizard. The wizard relies on the semantic model metadata, which must be consolidated into the Main branch.


                                    NEW QUESTION # 125
                                    You are preparing to import a bundle containing updated semantic model extensions into your Production environment, but the Production instance already contains existing custom subject areas created by another team.
                                    What happens to the existing Production semantic model customizations when the imported bundle is applied?

                                    Answer: B

                                    Explanation:
                                    Why Option C is Correct
                                    When deploying a semantic extensions bundle into an environment containing existing modifications, Oracle Fusion Data Intelligence (FDI) supports a merge operation. This mechanism intelligently integrates new or updated semantic model components, custom subject areas, and extensions from the bundle with the pre- existing customizations already present in the target environment, preserving non-conflicting model steps rather than wiping out the entire environment.
                                    Why the Other Options Are Incorrect
                                    A). The imported bundle forces a hard database reset and deletes all Autonomous Data Warehouse staging tables: Importing an application or semantic bundle deals exclusively with application metadata and metadata repository configurations; it does not trigger a hard database reset or wipe transactional staging tables in the Autonomous Data Warehouse.
                                    B). The import operation aborts immediately and revokes all active application role assignments: A valid bundle import passes validation checks and applies successfully without throwing immediate abort errors or stripping active user security role mappings.
                                    D). The imported bundle overwrites OCI IAM identity domain security groups while leaving subject areas untouched: Semantic and content bundles target application-level artifacts and model layers rather than tenancy-wide OCI IAM identity domain security groups.


                                    NEW QUESTION # 126
                                    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 # 127
                                    ......

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