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Oracle 1z0-1128-26 Exam Syllabus Topics:

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

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                                    Oracle Fusion Data Intelligence 2026 Implementation Professional Sample Questions (Q73-Q78):

                                    NEW QUESTION # 73
                                    Which statement is true regarding the OCI compartment and IAM policy requirements when preparing to create an Oracle Fusion Data Intelligence instance?

                                    Answer: D

                                    Explanation:
                                    A). The IAM policy granting manage permissions for Autonomous Data Warehouse must target the same compartment where the FDI instance is created. (Correct) Why it is Correct: Oracle Fusion Data Intelligence automatically provisions an underlying Oracle Autonomous Data Warehouse (ADW) instance within the target OCI compartment specified during setup.
                                    Therefore, the administrative IAM policies governing ADW resources (autonomous-database or autonomous- data-warehouse) must be scoped to match the designated compartment where the FDI service instance and its underlying data warehouse reside.
                                    B). Oracle Fusion Data Intelligence instances must be created exclusively in the root compartment of the Oracle Cloud Infrastructure tenancy. (Incorrect) Why it is Wrong: Administrators can select the root compartment or any pre-created sub-compartment/child compartment within the tenancy to house the FDI instance.
                                    C). IAM policies for managing FDI resources must be written at the tenancy level and cannot be scoped to a specific child compartment. (Incorrect) Why it is Wrong: OCI IAM policies follow standard compartment inheritance. Administrators can scope permissions specifically to a targeted compartment (e.g., ALLOW GROUP FDI_Admins TO MANAGE analytics-warehouses IN COMPARTMENT Production_Analytics).
                                    D). Non-administrator users can create an FDI instance without being assigned to an OCI group if granted the Fusion Security Console admin role. (Incorrect) Why it is Wrong: Instance creation requires explicit privileges within Oracle Cloud Infrastructure (OCI) IAM (specifically membership in an OCI group with permissions to manage analytics and database resources).
                                    SaaS duty roles inside the Fusion Security Console do not grant authorization to create OCI cloud infrastructure resources.


                                    NEW QUESTION # 74
                                    You are tasked with rapidly mapping job roles defined in Oracle Fusion Cloud Applications (FA_JOB_ROLE) to application roles in Oracle Fusion Data Intelligence across a large enterprise user base without creating individual manual assignments.
                                    Which capability in the Oracle Fusion Data Intelligence Console accomplishes this bulk mapping?

                                    Answer: C

                                    Explanation:
                                    Why Option D is Correct
                                    To efficiently map Oracle Fusion Cloud Applications job roles (FA_JOB_ROLE) to application roles within Oracle Fusion Data Intelligence (FDI) for a large user base, administrators utilize the Custom Job Roles Mappings functionality within the Uploads center. This capability allows administrators to download a template, perform bulk mappings in a CSV file, and upload it back into the system to automatically align enterprise roles without the need for manual, user-by-user configuration.
                                    Why the Other Options Are Incorrect
                                    A). Promote Objects in the Application Administration center: This task is used for migrating semantic model artifacts, workbooks, and custom extensions between instances, not for performing bulk administrative mapping of cloud application user roles.
                                    B). Security Automation in the Security Console: While the Security Console manages overall identity and access, "Security Automation" is not a specific, standard bulk-mapping configuration task for linking FA_JOB_ROLE entities to FDI application roles.
                                    C). Data Augmentation in the Data Configuration center: Data Augmentation is used to bring custom source data or additional descriptive attributes into the data warehouse; it is not the mechanism for defining or managing the mapping of user security roles.


                                    NEW QUESTION # 75
                                    A functional administrator is setting up data security for a new custom group and wants users in that group to actually see restricted subject areas and data once they're assigned.
                                    Which two steps are required, based on Oracle's documented sequence for granting a new custom group access?

                                    Answer: C,E

                                    Explanation:
                                    Assign the identified users to the custom group (A): Once the custom group is configured, you must add the relevant users to that specific group to establish their membership identity for access control.
                                    Map the required data duty and licensed roles to the newly created custom group (C): FDI uses a role-based access control (RBAC) model. Mapping the appropriate data duty roles and licensed functional roles to your custom group is a mandatory step that grants the group the necessary privileges to access specific subject areas, data, and dashboard content.
                                    Explanation of the Incorrect Answers
                                    Define a security assignment exclusion rule for every user in the group by default (B): This is incorrect because exclusion rules are used to specifically restrict access to certain data points, not as a standard prerequisite for granting initial access to a new group.
                                    Wait for the next scheduled Application Release before role mappings take effect (D): Role mappings and security assignments are dynamic and take effect as soon as the security synchronization process completes; they do not require waiting for a platform or application release cycle.
                                    Skip role mapping entirely if the group name matches an existing licensed group (E): You cannot skip role mapping; even if names are similar, you must explicitly associate the custom group with the necessary duty and data roles to ensure the security engine can correctly resolve the permissions for those users.


                                    NEW QUESTION # 76
                                    Which statement is true regarding the architecture and content delivery model of Oracle Fusion Data Intelligence solutions?

                                    Answer: C

                                    Explanation:
                                    A). Oracle fully manages platform deployment, performance tuning, and updates, while delivering prebuilt analytics data models, key metrics, and workbook dashboards.
                                    Explanation for the Correct Answer
                                    Oracle Fusion Data Intelligence is a fully managed cloud service where Oracle handles all aspects of infrastructure deployment, platform updates, and performance tuning. It delivers comprehensive out-of-the- box value by providing prebuilt data models, industry-standard key performance indicators (KPIs), and interactive workbook dashboards tied directly to Oracle Fusion Cloud Applications.
                                    Why the Other Options Are Incorrect
                                    B). Oracle Fusion Data Intelligence requires customers to independently construct data pipelines and star- schema physical models before deploying prebuilt dashboards: The core benefit of the platform is that it removes the heavy lifting of custom data warehouse engineering; Oracle provides prebuilt data pipelines and star-schemas out of the box.
                                    C). Prebuilt key performance indicators, cards, and decks remain active as a standalone user interface separate from the unified Oracle Analytics Cloud environment: These elements are natively integrated into the unified Oracle Analytics Cloud environment rather than operating as a completely separate standalone interface.
                                    D). Oracle Fusion Data Intelligence operates solely as an on-premises analytics application that connects to cloud applications through periodic file transfers: It is a cloud-native architecture natively connected via automated cloud data pipelines, not an on-premises tool relying on manual file transfers.


                                    NEW QUESTION # 77
                                    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?

                                    Answer: A

                                    Explanation:
                                    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.


                                    NEW QUESTION # 78
                                    ......

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