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| Section | Objectives |
|---|---|
| Functional Consultancy | - Configuration and Validation - Implementation Decisions - Business Requirements Analysis - Troubleshooting and Verification |
| Oracle Fusion Cloud Applications | - Fusion Cloud Applications Overview - Integration with Fusion Data Intelligence - Application Data and Business Processes |
| Oracle Cloud Infrastructure | - Cloud Infrastructure Configuration - OCI Concepts Relevant to Fusion Data Intelligence - Security and Access |
| Oracle Fusion Data Intelligence | - Validation and Troubleshooting - Administration and Configuration - Security and Access Management - Semantic Model Extensions and Customization - Analytics and Reporting - Instance Provisioning and Configuration - Solution Overview and Architecture - Data Augmentation - Data Pipelines and Data Loading - Bundles, Backup and Restoration |
| Requirements Management | - Requirements Analysis and Prioritization - Requirements Gathering - Implementation and Change Considerations |
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NEW QUESTION # 17
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: D
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 # 18
Which FDI Console task under Application Administration allows a service administrator to edit the date, time, and time zone for upcoming application updates?
Answer: D
Explanation:
Within the Oracle Fusion Data Intelligence (FDI) Console under Application Administration, the Release Updates task is specifically designed for service administrators to manage patch schedules. It allows administrators to view upcoming application update timelines and customize/edit the target date, time, and time zone to align maintenance windows with organizational change-management windows.
Why the Other Options Are Incorrect
A). Promote Objects: The Promote Objects task is used for migrating customized semantic model objects, presentations, and artifacts across different environments or development lifecycles.
B). Pipeline Parameters: Pipeline Parameters configure data pipeline extraction frequencies, refresh schedules, and data ingestion parameters rather than managing service software updates.
D). Global Parameters: Global Parameters govern overarching data warehouse application behaviors, functional configurations, and currency or calendar settings, not patching schedules.
NEW QUESTION # 19
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: B,C
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 # 20
Your organization is planning to test new data pipeline features and connectors in a non-production Oracle Fusion Data Intelligence instance. The lead implementer needs to understand how Preview features are governed, configured, and managed within the FDI Console before granting access to project teams. Which TWO statements correctly describe the management and behavior of Preview features in Oracle Fusion Data Intelligence?
Answer: A,B
Explanation:
Statement A: In Oracle Fusion Data Intelligence (FDI), all preview and opt-in features are disabled by default upon release. A functional administrator must explicitly navigate to the Enable Features console page and toggle them on.
Statement C: Preview features represent early-access or experimental capabilities that administrators can selectively turn on or off individually as needed for testing and evaluation purposes within non-production environments.
Why the Incorrect Statements are Wrong
Statement B: Enabling a preview feature is a metadata-level and application configuration toggle within the console UI; it does not require re-provisioning or disrupting the underlying Autonomous Data Warehouse instance.
Statement D: Preview features are additive or experimental capabilities; they never automatically overwrite or replace existing Generally Available pipeline configurations or active operational settings.
Statement E: Preview features are managed through the Enable Features tile under Application Administration, not through the System Settings tile under Service Administration.
NEW QUESTION # 21
Roughly how many prebuilt metrics does FDI provide out of the box?
Answer: C
Explanation:
A). Over 3,000
Explanation of the Correct Answer
Oracle Fusion Data Intelligence (FDI) provides a comprehensive library of over 2,000 to 3,000+ prebuilt key metrics across all major Oracle Fusion Cloud application domains (including Human Capital Management, Financials, Supply Chain Management, and Customer Experience). When considering the full suite of out-of- the-box KPIs, calculated measures, and domain-specific analytical subject areas packaged within the platform, "Over 3,000" reflects the scale of prebuilt business metrics provided to end users right out of the box.
Why the Other Options Are Incorrect
B). Over 300: This figure is significantly too low; even a single functional area within FDI (such as Fusion HCM Analytics or Fusion ERP Analytics) typically contains hundreds of prebuilt metrics on its own.
C). Over 30,000: This figure is vastly inflated; while the underlying database schema contains thousands of tables and attributes, the curated layer of business-ready key metrics is not in the tens of thousands.
D). Over 300,000: This number represents an extreme overstatement and does not align with any standard cloud analytics metric library size.
NEW QUESTION # 22
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