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| Section | Objectives |
|---|---|
| Semantic Model and Analytics Extension | - Dashboards, Reports, and AI Features
|
| Data Pipeline and Warehouse Configuration | - Data Validation and Quality
|
| Administration, Monitoring, and Maintenance | - Ongoing Administration
|
| OCI and Identity Configuration | - Security and Access Control
|
| Fusion Data Intelligence Overview and Activation Planning | - Architecture and Core Components
|
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NEW QUESTION # 47
You have successfully merged an external application into your non-production FDI instance for testing, but now you need to undo the changes and revert to the semantic model state prior to the merge.
Which action should you take on the Semantic Model Extensions page in the Oracle Fusion Data Intelligence Console?
Answer: C
Explanation:
A). Right-click the published external application in the External Application region and select Remove Application: According to Oracle Fusion Data Intelligence (FDI) documentation for managing external application merges, if you need to undo an external application integration, you navigate to the Semantic Model Extensions page in the FDI Console, locate the External Application region, right-click the merged application, and select Remove Application to revert the semantic model state.
Why the Incorrect Answers are Wrong
B). Delete the primary custom database schema in Autonomous Data Warehouse to force an automatic schema fallback: Dropping the core database schema directly via database tooling would corrupt the data warehouse and break the FDI instance, rather than cleanly removing the semantic model merge metadata.
C). Re-upload the base seed RPD file directly through the Data Configuration section: FDI manages semantic model extensions and merges through its dedicated Console framework rather than manual raw RPD file uploads via Data Configuration.
D). Disable the Virus Scanner on the Console to unlock the previous system snapshot: The virus scanner utility is strictly for inspecting uploaded files for malware and has no function related to rolling back semantic model merges or state snapshots.
NEW QUESTION # 48
Your security team wants confirmation that FDI won't require rebuilding user and group management from scratch. They already maintain users, groups, and roles inside Oracle Fusion Cloud Applications and want FDI to reuse that setup automatically wherever possible.
Which architectural characteristic of FDI addresses this requirement?
Answer: D
Explanation:
A). FDI's out-of-the-box security framework synchronizes users and groups from Fusion Cloud Applications and associates them with FDI Licensed Groups.
Explanation of the Correct Answer
Oracle Fusion Data Intelligence (FDI) integrates directly with the identity management and security architecture of Oracle Fusion Cloud Applications. When provisioning and configuring the environment with single sign-on synchronization, the platform automatically synchronizes users, job roles, and group memberships from Fusion Cloud Applications into the associated identity service instance. Security administrators can then map these synchronized groups and source system roles to FDI Licensed Groups and application roles, allowing organizations to reuse their existing user populations and security setups seamlessly without rebuilding them from scratch.
Why the Other Options Are Incorrect
B). FDI requires a completely separate identity store unrelated to Fusion Cloud Applications: This statement is false because FDI is intentionally architected to integrate with the existing identity domain and single sign-on infrastructure of Oracle Fusion Cloud Applications to avoid administrative redundancy.
C). FDI only supports manually uploaded user lists through the Upload Center: This is incorrect because FDI natively automates user provisioning and synchronization directly from the source cloud applications, rather than relying exclusively on manual list uploads.
D). FDI delegates all user and group management to Oracle Analytics Cloud exclusively, independent of Fusion Cloud Applications: This is false because user authentication, roles, and security contexts are fundamentally tied to the source Fusion Cloud Applications environment and identity synchronization pipeline, rather than being managed independently inside OAC
NEW QUESTION # 49
Which of the following statements is true regarding the migration of semantic model customizations from a non-production instance to a Production instance?
Answer: D
Explanation:
Why Option D is Correct
When promoting semantic model extensions, key metrics, and reporting configurations from a non-production environment to a Production instance in Oracle Fusion Data Intelligence, both environments must be operating on compatible release versions. Ensuring release compatibility guarantees that metadata definitions, logical models, and underlying object references packaged from the source can be seamlessly interpreted and applied by the target instance without syntax failures or broken schema dependencies.
Why the Other Options Are Incorrect
A). Promoted semantic model extensions automatically erase and reset all transactional data tables in the Production Autonomous Data Warehouse: Semantic model promotions apply changes to metadata repository structures and reporting layers; they do not drop, erase, or reset transactional data tables stored within the underlying Autonomous Data Warehouse.
B). Using Promote Objects transfers user password credentials and OCI IAM identity domain policies alongside semantic model extensions: The object promotion feature targets application-specific configurations, semantic extensions, KPIs, and granular object/data security maps. It does not manage, transfer, or overwrite user account passwords or tenancy-wide OCI IAM identity domain policies.
C). Customizations promoted from non-production remain in draft status in Production until an administrator manually rebuilds the physical database schema: Promoted customizations are deployed and activated on the target environment through the managed platform workflow. They do not require manual physical database schema rebuilds to exit a draft state.
NEW QUESTION # 50
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,D
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 # 51
A lead architect needs to establish an application release update strategy that allows the testing team to validate custom reporting content on new quarterly features in non-production before the update is applied to Production.
Which configuration strategy satisfies this requirement?
Answer: C
Explanation:
Why Option D is Correct
In Oracle Fusion Data Intelligence (FDI), service administrators can control quarterly application updates and feature patches using the Release Updates configuration tile under Service Administration. To meet the requirement of testing and validating custom reporting content against new features prior to a production release, the standard best practice is to schedule the non-production instance update for an earlier date than the production instance. This grants the testing team a dedicated validation window in a non-production environment before the changes automatically or manually propagate to production.
Why the Other Options Are Incorrect
A). Export an application bundle from Production and restore it into non-production immediately after the Production update finishes: Exporting and restoring a bundle after production has already been updated completely reverses the deployment timeline. It fails to provide a staging environment to validate new features before production adoption.
B). Use Promote Objects to force the Production release update build onto the non-production instance ahead of schedule: Object promotion features (or migration bundles) are designed strictly to transfer custom metadata, semantic models, and reporting artifacts between environments. They cannot alter platform software versions or force core quarterly application release builds ahead of schedule.
C). Set the pipeline schedule parameter in Global Parameters to freeze all data extractions until both environments are updated simultaneously: Global Parameters govern data warehouse application variables and functional pipeline ingestion behavior. They do not control software patching milestones, quarterly feature upgrades, or environment update sequences.
NEW QUESTION # 52
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