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| Section | Objectives |
|---|---|
| Data Pipeline Configuration and Validation | - Detailed and scheduled data-validation processes - Preview and Generally Available features - Global and reporting parameters - Functional areas - Data validation prerequisites |
| Implementation Prerequisites and Instance Creation | - Oracle Cloud Infrastructure prerequisites and identity considerations - Single Sign-On activation and Fusion Applications prerequisites - Ordering and activation requirements - Private endpoint deployment considerations - FDI instance provisioning and configuration |
| Customization, Extensibility, Administration, and Maintenance | - Test-to-production migration and bulk deployment - Upgrades and releases - Incremental uploads and instance lifecycle activities - Bundles for backup and restore - Data Augmentation and External Applications - User experience customization - Semantic model extensions - AI and AIDP capabilities - Security framework customization |
| Oracle Fusion Data Intelligence Fundamentals | - Oracle Fusion Cloud Applications and Oracle Cloud Infrastructure concepts - Oracle Fusion Data Intelligence solution, capabilities, components, and functional architecture |
| Security Configuration | - Data-security assignments - Users and groups - Security automation - Object security |
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NEW QUESTION # 86
Under which tab do the custom validation sets you create appear?
Answer: D
Explanation:
B). Scheduled Validation
Explanation of the Correct Answer
Scheduled Validation (B): Once you create and save a custom validation set within the Data Validation interface, it automatically appears under the Custom Validation Sets section within the Scheduled Validation tab. This tab allows you to configure automated execution frequencies, toggle automated reporting, and monitor scheduled data reconciliations against your source applications.
Explanation of the Incorrect Answers
Detailed Validation (A): This tab is used for performing on-demand, interactive data comparisons and filtering specific metrics or column sets manually, rather than hosting or managing saved custom validation report configurations.
Source Credentials (C): This tab is dedicated exclusively to managing user login details and authentication credentials (such as the validation user account) required to connect with the Oracle Fusion Cloud source environment.
Application Administration (D): This represents a broader functional navigation group in the Console rather than a tab within the Data Validation page itself.
NEW QUESTION # 87
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 # 88
Which database structure holds FDI's prebuilt data model?
Answer: D
NEW QUESTION # 89
Which feature lets administrators upload custom visualization types or custom data actions?
Answer: C
Explanation:
Custom Plug-ins (D): This feature is specifically designed to let administrators upload, manage, and delete custom visualization types or custom data actions that have been built externally. It allows organizations to extend their reporting and dashboard capabilities beyond the built-in system features.
Explanation of the Incorrect Answers
Bundle Repository (A): This capability is utilized for sharing content bundles (such as snapshots or configuration packages) between different instances or tenancies, rather than uploading individual UI extensions or actions.
Data Augmentation Wizard (B): This tool focuses on data preparation and enrichment, allowing users to add dimensions, facts, or dataset transformations to existing data models rather than managing code-based UI plugins.
Semantic Model Extension (C): This feature is used to modify, customize, or expand the underlying business metadata, schemas, and logical structures of the semantic model, rather than handling frontend visualization components or custom action scripts.
NEW QUESTION # 90
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: D,E
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 # 91
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