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Oracle 1z0-1128-26 Exam Syllabus Topics:

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

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                                    Oracle Fusion Data Intelligence 2026 Implementation Professional Sample Questions (Q128-Q133):

                                    NEW QUESTION # 128
                                    An implementation consultant is configuring reporting parameters for an enterprise deploying both ERP Analytics and HCM Analytics. The project requires configuring financial category management independently from Fusion Applications while establishing standardized tenure and compa-ratio groupings for workforce reporting.
                                    Which TWO statements correctly describe how reporting parameters must be configured in this scenario?

                                    Answer: B,C

                                    Explanation:
                                    Statement B: Configuring the Allow Financial Category Upload parameter to Yes within the Enterprise Resource Planning (ERP) Reporting Configuration section grants the administrator permission to override source application settings by uploading independent financial category mappings via CSV files.
                                    Statement D: Application-specific workforce reporting attributes, such as Tenure Bands and Compa-Ratio Bands, are functional reporting configurations located specifically under the Human Capital Management (HCM) section of the Reporting Configuration console.
                                    Why the Incorrect Statements are Wrong
                                    Statement A: Reporting parameters for a functional area only become visible and available for configuration after the data pipeline for that specific functional area has been successfully activated.
                                    Statement C: Worker Age, Tenure, and Compa-Ratio bands are HCM-specific reporting configurations, not environment-wide Global Parameters, and they do not apply to SCM or ERP functional areas.
                                    Statement E: Enabling custom financial category uploads does not delete or purge historical General Ledger balance data; it merely changes the source from which the system draws financial category mappings for reporting purposes.


                                    NEW QUESTION # 129
                                    An organization decides to temporarily suspend data refresh pipelines for HCM Analytics to perform maintenance in the source Oracle Fusion Cloud Applications environment.
                                    What happens when the administrator sets the status of the HCM functional area to Deactivated in the Data Pipeline Activation Plan?

                                    Answer: C

                                    Explanation:
                                    D). Deactivation Behavior: In Oracle Fusion Data Intelligence (FDI), changing a functional area's status to Deactivated in the Data Pipeline Activation Plan suspends ongoing scheduled data refresh jobs and incremental extractions for that specific module (such as HCM). However, it retains all existing loaded data and historical records currently residing in the data warehouse, allowing users to continue querying historical reports during the maintenance window.
                                    Why the Incorrect Answers are Wrong
                                    A). All historical HCM transactional data in the Autonomous Data Warehouse is immediately truncated and purged: Deactivating a pipeline stops data refreshes, but it does not wipe or truncate historical warehouse data. Purging data requires a distinct Reset action.
                                    B). The FDI instance automatically drops all user security assignments associated with HCM data roles:
                                    Pipeline activation states govern data extraction and refresh cycles; they do not automatically delete or modify user role provisioning and security assignments managed under User and Group Management.
                                    C). The underlying data pipeline parameters for all other functional areas are locked until HCM is reactivated:
                                    Functional areas operate independently within the activation plan, meaning the deactivation of HCM does not lock parameters or impact pipeline schedules for other active modules like ERP or SCM.


                                    NEW QUESTION # 130
                                    You are activating a functional area for the first time in a newly provisioned FDI environment. You want the pipeline definition saved but want it to stay inactive until you manually trigger it later, rather than starting immediately or running on a fixed schedule.
                                    Which option would you select while creating the functional area?

                                    Answer: A

                                    Explanation:
                                    Save without Running (A): This option allows you to save the newly created functional area and its associated data pipeline definition within the FDI environment without initiating an immediate extraction or scheduling.
                                    It keeps the pipeline saved in an inactive state so that administrators can review configurations and manually trigger or activate it at a later time.
                                    Explanation of the Incorrect Answers
                                    Run Now (B): This option immediately triggers the data pipeline execution and kicks off a full ad-hoc data load into the data warehouse as soon as the configuration wizard is completed.
                                    Schedule (C): This option sets up a time-bound recurring or future execution schedule for the pipeline, meaning it will automatically execute based on the defined schedule rather than remaining completely inactive until a manual trigger.
                                    Activate and Reset (D): This is a maintenance action utilized later in the lifecycle to clear or reinitialize existing warehouse data or pipeline structures rather than serving as an initial creation-time save choice.


                                    NEW QUESTION # 131
                                    You have deployed an FDI instance and need to validate that a specific metric's values match between FDI and Oracle Transactional Business Intelligence. Your functional administrator account currently can't view the Data Validation project output in Oracle Analytics Cloud's Common folder.
                                    What should you do before you can view that output?

                                    Answer: B

                                    Explanation:
                                    Assign the user to the Integration Specialist Group (D): To view the Data Validation project output located within the OAC Common folder, users must possess the correct administrative and integration privileges.
                                    Specifically, assigning the user to the Integration Specialist Group (or appropriate security groups tied to validation and semantic administration) ensures they have the correct permissions to access the underlying validation workbooks and data comparison outputs.
                                    Explanation of the Incorrect Answers
                                    Enable the Preview Features tab in the Console (A): Preview features enable early-access or experimental platform capabilities and have no impact on accessing existing reporting folders or validation projects.
                                    Grant the user the System Administrator system role only (B): While administrative roles are necessary, OAC catalog object permissions and integration artifacts specifically rely on group-level memberships (such as the Integration Specialist Group) for proper catalog folder access.
                                    Reset the FDI Service user password (C): Resetting service credentials addresses authentication or connection failures rather than resolving catalog folder permission and authorization blocks.


                                    NEW QUESTION # 132
                                    Which service sits at the heart of FDI, providing the presentation and visualization layer?

                                    Answer: C

                                    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 # 133
                                    ......

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