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| Section | Objectives |
|---|---|
| Customization, Extensibility, Administration, and Maintenance | - User experience customization - AI and AIDP capabilities - Test-to-production migration and bulk deployment - Security framework customization - Data Augmentation and External Applications - Semantic model extensions - Bundles for backup and restore - Incremental uploads and instance lifecycle activities - Upgrades and releases |
| Implementation Prerequisites and Instance Creation | - FDI instance provisioning and configuration - Oracle Cloud Infrastructure prerequisites and identity considerations - Private endpoint deployment considerations - Single Sign-On activation and Fusion Applications prerequisites - Ordering and activation requirements |
| Data Pipeline Configuration and Validation | - Preview and Generally Available features - Data validation prerequisites - Detailed and scheduled data-validation processes - Functional areas - Global and reporting parameters |
| Oracle Fusion Data Intelligence Fundamentals | - Oracle Fusion Data Intelligence solution, capabilities, components, and functional architecture - Oracle Fusion Cloud Applications and Oracle Cloud Infrastructure concepts |
| Security Configuration | - Users and groups - Data-security assignments - Security automation - Object security |
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NEW QUESTION # 82
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: B
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 # 83
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: A
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 # 84
An architect needs to extend the enterprise analytics repository by ingesting transactional datasets from a non- Oracle Cloud source system directly into the Autonomous Data Warehouse tables used by Oracle Fusion Data Intelligence.
Which architectural capability supports establishing and managing this external source connection for data ingestion?
Answer: A
Explanation:
A). Manage Data Connections in FDI Console
Explanation for the Correct Answer
In Oracle Fusion Data Intelligence (FDI), the Manage Connections tool available via the FDI Console (under Application Administration and Data Configuration) serves as the central architectural component for configuring, testing, and maintaining connections to external, non-Oracle Cloud source systems. It allows administrators to securely establish connectivity for data ingestion, enabling external data to be integrated into the underlying data workflows and Autonomous Data Warehouse instances.
Why the Other Options Are Incorrect
B). Semantic Model Extensions framework: This framework is utilized to customize and extend the business metadata layer (such as adding custom subject areas, presentation tables, hierarchies, or derived attributes) within Oracle Analytics Cloud, rather than establishing physical data ingestion pipelines or external database connections.
C). Access Control List rule manager: This utility governs security configurations, user access privileges, data security filters, and role-based permissions across the platform, rather than managing network or application- level connections for data sources.
D). Oracle Analytics Client Tools merge: This desktop development utility is used by semantic modelers to merge local repository project changes (RPD files) before deploying them to the cloud environment, not for connecting to external data source systems or managing cloud-level data ingestion.
NEW QUESTION # 85
You need to perform a complete data reset and reload across all activated functional areas, data augmentations, and custom data configurations due to corrupted staging data from a source migration.
Which action should you perform on the Pipeline Settings page after enabling the feature under Generally Available Features?
Answer: C
Explanation:
C). Click Actions and select Reset & Reload: After enabling the required data reload/reset feature under Generally Available Features in the Oracle Fusion Data Intelligence Console, you navigate to the Pipeline Settings page, click on the Actions menu, and select Reset & Reload. This triggers a full, comprehensive reset and reload of all activated functional areas, custom tables, data augmentations, and data configurations to clear corrupted staging data and rebuild the data warehouse from scratch.
Why the Incorrect Answers are Wrong
A). Click Data Validation and select Reset Data Warehouse: The data validation menu is used for troubleshooting data discrepancies and inspecting pipeline health, not for triggering a warehouse reset.
B). Click Pipeline Parameters and select Purge Incremental Logs: Purging incremental logs only clears transactional log records and does not perform a complete schema reset or data source reload.
D). Click Frequent Data Refresh Schedule and select Full Cache Reset: This is a distractor; frequent data refreshes handle intraday incremental updates rather than full architectural data reloads and schema resets.
NEW QUESTION # 86
Which tab on the Data Validation page do you use to enter credentials for the validation user, such as MyFAWValidationUser?
Answer: C
Explanation:
Source Credentials (C): This specific tab on the Data Validation page within the FDI console is where administrators input and manage the user account login details (such as a validation user like MyFAWValidationUser) required to authenticate and connect with the source Oracle Fusion Cloud Applications environment for data reconciliation.
Explanation of the Incorrect Answers
Scheduled Validation (A): This tab is utilized for configuring and scheduling automated background validation reports and audit reconciliation runs rather than supplying user authentication keys.
Detailed Validation (B): This tab enables administrators to execute on-demand, interactive data comparisons by choosing specific subject areas, metrics, and filters, but it is not used for credential entry.
Application Administration (D): This represents a general functional navigation group or section in the Console rather than a specific tab within the Data Validation interface itself.
NEW QUESTION # 87
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