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| Section | Objectives |
|---|---|
| Data Pipeline Configuration and Validation | - Detailed and scheduled data-validation processes - Functional areas - Preview and Generally Available features - Data validation prerequisites - 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 |
| Customization, Extensibility, Administration, and Maintenance | - Upgrades and releases - Data Augmentation and External Applications - User experience customization - Incremental uploads and instance lifecycle activities - AI and AIDP capabilities - Security framework customization - Semantic model extensions - Test-to-production migration and bulk deployment - Bundles for backup and restore |
| Implementation Prerequisites and Instance Creation | - Oracle Cloud Infrastructure prerequisites and identity considerations - FDI instance provisioning and configuration - Ordering and activation requirements - Single Sign-On activation and Fusion Applications prerequisites - Private endpoint deployment considerations |
| Security Configuration | - Security automation - Users and groups - Data-security assignments - Object security |
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NEW QUESTION # 29
An implementation team is preparing to execute data validation tests comparing metrics in Oracle Fusion Data Intelligence against Oracle Transactional Business Intelligence (OTBI). The lead consultant needs to verify that all prerequisite user setups, security roles, and credential configurations are correctly in place before creating validation sets. Which TWO actions are mandatory prerequisites for executing data validation in this environment?
Answer: B,E
Explanation:
A). Create a custom BI Abstract role and assign it to the dedicated validation user in Oracle Fusion Cloud Applications: To ensure the validation user can retrieve the necessary metrics from OTBI for comparison, they must be provisioned with the appropriate BI Abstract role within the source Oracle Fusion Cloud Applications environment.
C). Ensure the validation user exists in both FDI and Fusion Applications with identical data security privileges: It is a core requirement that the dedicated validation user accounts in both the source Fusion Applications and the FDI instance hold equivalent data security access privileges to ensure the accuracy and alignment of the data being compared.
Why the Incorrect Answers are Wrong
B). Deploy a private endpoint in OCI before enabling the Data Validation console tile: While networking configurations are important, deploying a private endpoint is not a functional prerequisite for enabling the Data Validation console tile.
D). Configure row-level data security filters within the Object Permissions tab of Semantic Model Extensions:
Validation relies on comparing aggregated source metrics against warehouse data; row-level security configuration in the semantic model is not a mandatory prerequisite for setting up validation sets.
E). Reset the Autonomous Data Warehouse admin password before saving Source Credentials: The Source Credentials tab is used to configure application-level source authentication (such as the validation user credentials for Fusion Applications), not database-level administrative passwords for the Autonomous Data Warehouse.
NEW QUESTION # 30
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 # 31
For how many days does the Autonomous Data Warehouse associated with FDI retain automated daily backups?
Answer: B
Explanation:
60 days (C): The Autonomous Data Warehouse instance utilized by Oracle Fusion Data Intelligence (FDI) automatically executes and retains daily backups for a default window of 60 days, enabling point-in-time recovery within this timeframe.
Explanation of the Incorrect Answers
30 days (A): This is shorter than the standard retention window managed natively by the cloud service for automated daily backups.
45 days (B): This duration does not align with the standard 60-day automated backup policy framework for the underlying autonomous data instance.
90 days (D): While long-term backup retention policies can be customized for extended archival needs in standard OCI environments, the default automated daily rolling backup retention is configured for 60 days.
NEW QUESTION # 32
You are activating a functional area for the first time in a newly provisioned FDI environment. You want the pipeline definition saved but want it to stay inactive until you manually trigger it later, rather than starting immediately or running on a fixed schedule.
Which option would you select while creating the functional area?
Answer: C
Explanation:
Save without Running (A): This option allows you to save the newly created functional area and its associated data pipeline definition within the FDI environment without initiating an immediate extraction or scheduling.
It keeps the pipeline saved in an inactive state so that administrators can review configurations and manually trigger or activate it at a later time.
Explanation of the Incorrect Answers
Run Now (B): This option immediately triggers the data pipeline execution and kicks off a full ad-hoc data load into the data warehouse as soon as the configuration wizard is completed.
Schedule (C): This option sets up a time-bound recurring or future execution schedule for the pipeline, meaning it will automatically execute based on the defined schedule rather than remaining completely inactive until a manual trigger.
Activate and Reset (D): This is a maintenance action utilized later in the lifecycle to clear or reinitialize existing warehouse data or pipeline structures rather than serving as an initial creation-time save choice.
NEW QUESTION # 33
Which FDI bundle type should an administrator create when performing a complete system backup that captures all supported application artifacts across content, data configurations, semantic extensions, and security settings into a single snapshot?
Answer: D
Explanation:
A). Bundles can be deployed onto target environments running the same content version as the source or a higher content version, but cannot be deployed to a target environment running an older version than the source.
Why Option A is Correct
According to Oracle Fusion Data Intelligence (FDI) guidelines, bundles function on environments where the source and target instances are at the same version level, or where the source instance is at an older/lower version and the target instance is at a newer/higher version (e.g., a bundle generated from a previous content version can be successfully deployed onto a latest content version environment). Conversely, bundles cannot be deployed backward to an older target environment due to metadata and schema compatibility constraints.
Why the Other Options Are Incorrect
B). If a bundle snapshot exceeds 1 GB in size, Oracle Fusion Data Intelligence automatically compresses and splits the file archive into multiple parts during export: FDI does not automatically split oversized bundles.
Administrators must manually ensure that bundle sizes stay below the recommended 1 GB limit by selectively including necessary artifacts.
C). Restoring an environment using a bundle automatically executes a full historical data pipeline reset without administrative intervention: Restoring or deploying an environment-level bundle requires proper sequencing- such as pre-deploying data configuration bundles or manually activating data pipelines-rather than triggering an automatic, unassisted full historical reset.
D). Oracle Fusion Data Intelligence uses native Oracle Analytics Cloud snapshot files (.bar) as its primary snapshot mechanism for system backup and restore: FDI utilizes its own comprehensive internal bundle framework (supporting Data Config, Semantic Model, Content, and Composite bundle types) rather than relying exclusively on native OAC .bar catalog files for full system backups.
NEW QUESTION # 34
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