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Oracle 1z0-1128-26 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Pipeline and Warehouse Configuration- Data Validation and Quality
  • 1. Troubleshooting Data Load Issues
    • 2. Warehouse Data Validation
      - Data Integration and Pipelines
      • 1. Data Pipeline Setup and Scheduling
        • 2. Fusion Data Source Connections
          Topic 2: 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 3: 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
                          Topic 4: Administration, Monitoring, and Maintenance- Ongoing Administration
                          • 1. Monitoring and Performance Tuning
                            • 2. Instance Maintenance and Updates
                              Topic 5: 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

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                                    Oracle Fusion Data Intelligence 2026 Implementation Professional Sample Questions (Q22-Q27):

                                    NEW QUESTION # 22
                                    You are customizing an Overview Dashboard in Oracle Fusion Data Intelligence to display executive performance summaries with tailored metric targets, conditional formatting, and associated dimensions.
                                    Which reusable business object construct should you configure to serve as the foundation for these overview composite visualizations?

                                    Answer: D

                                    Explanation:
                                    D). Key Metrics: In Oracle Fusion Data Intelligence (FDI), Key Metrics are the standardized, reusable business object constructs designed specifically to serve as the foundation for executive dashboards and overview visualizations. They encapsulate business logic, aggregation rules, and targets, ensuring consistency across composite visualizations, KPI cards, and performance summaries.
                                    Why the Incorrect Answers are Wrong
                                    A). Pipeline Parameters: These are configuration settings used to control the behavior of the data extraction pipelines (such as functional area scopes or ledger filters), rather than serving as foundational objects for dashboard visualizations.
                                    B). Data Augmentations: This feature is used to extend the semantic data model by incorporating additional attributes or custom columns from source applications into existing star schemas, not for defining business- level KPIs for dashboard display.
                                    C). Access Control Rules: These define the data security and row-level access permissions for users, ensuring they see only the data they are authorized to view; they do not function as the structural building blocks for visualizations.


                                    NEW QUESTION # 23
                                    Which of the following statements is true regarding the Access Control List configuration for a public Oracle Fusion Data Intelligence instance?

                                    Answer: B

                                    Explanation:
                                    C). Administrators can add a maximum of 19 rows of access control rules, with one rule present by default.
                                    (Correct)
                                    Why it is Correct: According to Oracle documentation, when configuring the Access Control List at the Oracle Fusion Data Intelligence level, administrators can configure up to a maximum of 19 rows of access control rules, and the system contains one access control rule present by default.
                                    Why Other Options Are Incorrect
                                    A). Configuring an Access Control List at the instance level prevents defining separate rules for the associated Analytics Cloud instance. (Incorrect) Why it is Wrong: Administrators can define distinct target resources and different access control rules for the underlying associated Oracle Analytics Cloud (OAC) and Autonomous Data Warehouse instances.
                                    B). Access Control Lists can only be applied to private instances deployed with a private endpoint. (Incorrect) Why it is Wrong: Instance-level Access Control Lists in FDI are specifically configured for public instances to manage and restrict inbound traffic arriving directly from the internet. Private instances use VCN private endpoints instead.
                                    D). The associated Autonomous Data Warehouse automatically ignores instance-level Access Control List rules. (Incorrect) Why it is Wrong: The underlying Autonomous Data Warehouse (or Autonomous AI Lakehouse) and Oracle Analytics Cloud instances associated with the FDI instance adhere to the access control policies set for Fusion Data Intelligence


                                    NEW QUESTION # 24
                                    A financial organization needs to refresh General Ledger and Purchase Order data every 4 hours during quarter-end closing to ensure analysts have intraday transactional visibility. The administrator is setting up the Frequent Data Refresh schedule in the Oracle Fusion Data Intelligence Console.
                                    Which TWO conditions or prerequisites must be satisfied to successfully configure and run this intraday frequent data refresh?

                                    Answer: C,E

                                    Explanation:
                                    Statement B (The Frequent Refresh feature must be enabled...): Before high-frequency intraday schedules can be set up in Oracle Fusion Data Intelligence (FDI), the administrator must explicitly navigate to the Enable Features page under Generally Available Features and enable the Frequent Refresh feature flag.
                                    Statement E (The incremental pipeline schedule... must be configured for a daily frequency): Frequent data refreshes operate as intraday runs that build upon the baseline incremental pipeline. Therefore, the base incremental pipeline schedule for the applicable functional areas (like GL and PO) must be set to run at a daily frequency before frequent 4-hour intraday intervals can be layered on top of it.
                                    Why the Incorrect Answers are Wrong
                                    Statement A: Private endpoints are used for secure VCN connectivity, but they do not bypass or alter the Autonomous Data Warehouse maintenance window.
                                    Statement C: Semantic model update jobs are intentionally bypassed during frequent data refresh runs to maximize pipeline speed, and administrators certainly do not need to manually push a model update every 4 hours.
                                    Statement D: The virus scanner utility is strictly for inspecting uploaded files for security risks and has no role in scanning intraday staging tables.


                                    NEW QUESTION # 25
                                    Which upload option in the Oracle Fusion Data Intelligence Uploads center completely deletes existing data security assignments before importing the contents of the uploaded CSV file?

                                    Answer: A

                                    Explanation:
                                    Why Option B is Correct
                                    When uploading configuration files, security assignments, or financial category mappings in the Oracle Fusion Data Intelligence Uploads center, administrators are given a choice between merging changes or replacing them. Selecting Replace existing configuration settings completely purges and deletes all pre- existing data security assignments in the target environment before loading the new contents from the uploaded CSV file.
                                    Why the Other Options Are Incorrect
                                    A). Overwrite Existing Configuration: This is a distractor and not the exact label utilized in the FDI Uploads interface option workflow.
                                    C). Purge and Reload: This refers to deep pipeline or data warehouse maintenance actions rather than the specific CSV file upload mode for security assignments.
                                    D). Reset Data Security Assignments: This is a fabricated action name rather than the specific modal toggle option presented when completing a CSV upload in the Uploads center.


                                    NEW QUESTION # 26
                                    Your organization recently added custom duty roles to control access across customized subject areas and analytical content. The security administrator needs to configure object-level access controls for subject area metadata elements as well as front-end analytics artifacts like key metrics and workbooks within the Oracle Fusion Data Intelligence Console.
                                    Which TWO statements correctly describe how object security must be implemented in this scenario?

                                    Answer: D,E

                                    Explanation:
                                    Statement A: Front-end analytical artifacts-such as individual workbooks, folders, and key metrics-do not rely on the centralized semantic model wizard. Instead, their permissions are explicitly managed and set on an individual basis by selecting the object, adding the appropriate duty role, and assigning the corresponding access level.
                                    Statement B: The Configure Object Permissions tool is provided as a prebuilt, unified single step within the FDI Security Configurations interface. It is specifically designed to manage and enforce access constraints across subject areas and their underlying metadata elements using duty-type application roles.
                                    Why the Incorrect Statements are Wrong
                                    Statement C: You do not manually create a separate Configure Object Permissions step for each custom duty role. Instead, there is a single prebuilt Configure Object Permissions step provided by the system, which administrators edit to handle multiple custom and prebuilt duty roles.
                                    Statement D: Object-level and element-level security mapping relies on duty-type application roles, whereas row-level and column-level data filters are governed separately by data-type application roles via the Configure Data Security feature.
                                    Statement E: Column-level object permissions control metadata visibility and do not automatically eliminate or override separate data security filters configured for users.


                                    NEW QUESTION # 27
                                    ......

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