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| Section | Objectives |
|---|---|
| Oracle Fusion Data Intelligence | - Analytics and Reporting - Administration and Configuration - Instance Provisioning and Configuration - Security and Access Management - Data Augmentation - Validation and Troubleshooting - Data Pipelines and Data Loading - Semantic Model Extensions and Customization - Bundles, Backup and Restoration - Solution Overview and Architecture |
| Oracle Fusion Cloud Applications | - Application Data and Business Processes - Fusion Cloud Applications Overview - Integration with Fusion Data Intelligence |
| Functional Consultancy | - Configuration and Validation - Implementation Decisions - Troubleshooting and Verification - Business Requirements Analysis |
| Requirements Management | - Requirements Analysis and Prioritization - Implementation and Change Considerations - Requirements Gathering |
| Oracle Cloud Infrastructure | - Cloud Infrastructure Configuration - Security and Access - OCI Concepts Relevant to Fusion Data Intelligence |
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NEW QUESTION # 31
Which scheduled process must you run in Fusion Applications if BI-enabled DFF columns don't appear in OTBI after deployment?
Answer: B
Explanation:
C). Import Oracle Fusion Data Extensions for Transactional Business Intelligence Explanation of the Correct Answer When you make Descriptive Flexfields (DFFs) BI-enabled or make structural modifications to flexfields in Oracle Fusion Applications, the changes are not immediately visible in business intelligence layers. You must run the scheduled process named "Import Oracle Fusion Data Extensions for Transactional Business Intelligence" in the source Fusion Cloud Applications instance. This process extracts the updated metadata definitions-including the newly enabled DFF columns-and updates the underlying transactional business intelligence repository and views so they appear correctly in OTBI reports.
Why the Other Options Are Incorrect
A). Reset and Reload Data Source: This is not a standard scheduled process name used in Oracle Fusion Applications for refreshing flexfield metadata or making DFF columns available to intelligence tools.
B). Publish Flexfield Metadata: While flexfields must be deployed and compiled, "Publish Flexfield Metadata" is not the correct scheduled process name used to push DFF changes to the business intelligence data layer.
D). Synchronize Security Assignments: This process handles the synchronization of user roles, job responsibilities, and security privileges rather than updating reporting metadata or extending BI views with new flexfield columns.
NEW QUESTION # 32
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 # 33
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: D,E
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 # 34
Which of the following statements is true regarding bulk data file management using the Uploads center in Oracle Fusion Data Intelligence?
Answer: C
Explanation:
Why Option C is Correct
When managing data through the Uploads center in Oracle Fusion Data Intelligence (FDI), administrators have the capability to download two distinct file types for reference and editing:
Sample Files: Provide a CSV template with predefined, pre-populated column headers designed to familiarize users with expected data structures.
Current Files: Provide a snapshot containing active system configurations or assignments currently deployed in the environment, which can be modified for updates or migrations.
Why the Other Options Are Incorrect
A). Uploading a CSV file requires administrators to modify column header names to match the exact schema column names of the underlying data warehouse: Modifying or changing the pre-existing header names in downloaded FDI upload templates will cause processing errors. Administrators are explicitly instructed not to change any header names.
B). Bulk uploads of security assignments and financial categories can be submitted using either XML or JSON formatted files: FDI only supports comma-separated values (.csv) for data upload and download operations in the Uploads center; XML and JSON formats are not accepted for these templates.
D). Uploading a Financial Category Assignments file automatically creates missing chart of accounts segment values in Oracle Fusion Cloud Applications: Uploaded mapping files only map and configure categorization metadata within the analytics layer; they cannot dynamically create or write new foundational chart of accounts setup records back into source Oracle Fusion Cloud Applications.
NEW QUESTION # 35
Which preview feature predicts how long a data refresh will take to complete?
Answer: C
Explanation:
B Explanation: Documentation states: "This feature enables prediction of completion time for a data refresh.
You can see the predicted time under Data Pipeline in the Pipeline Parameters section on the Pipeline Settings page." Frequent Data Refresh (A) changes refresh cadence rather than predicting duration, Reset and Reload (C) discards and refetches all data, and Bulk Data Augmentation (D) batches non-Fusion extraction jobs - none of these forecast refresh time. Reference: Administering Oracle Fusion Data Intelligence - "About Data Refresh Performance
NEW QUESTION # 36
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