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| Section | Objectives |
|---|---|
| Oracle Cloud Infrastructure | - OCI Concepts Relevant to Fusion Data Intelligence - Cloud Infrastructure Configuration - Security and Access |
| Functional Consultancy | - Business Requirements Analysis - Configuration and Validation - Implementation Decisions - Troubleshooting and Verification |
| Requirements Management | - Implementation and Change Considerations - Requirements Analysis and Prioritization - Requirements Gathering |
| Oracle Fusion Data Intelligence | - Semantic Model Extensions and Customization - Data Augmentation - Analytics and Reporting - Bundles, Backup and Restoration - Instance Provisioning and Configuration - Administration and Configuration - Solution Overview and Architecture - Validation and Troubleshooting - Data Pipelines and Data Loading - Security and Access Management |
| Oracle Fusion Cloud Applications | - Integration with Fusion Data Intelligence - Application Data and Business Processes - Fusion Cloud Applications Overview |
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NEW QUESTION # 24
Your organization has recently completed an incremental data pipeline load for ERP Analytics in Oracle Fusion Data Intelligence. To ensure long-term data integrity, the lead implementer needs to establish a verification routine that checks row-level transactional records and automatically re-verifies these metrics after future data refreshes. Which TWO actions should the implementer take within the FDI Console to satisfy these requirements?
Answer: A,C
Explanation:
Statement A: Detailed Data Validation is specifically designed for executing row-level transactional record comparisons between Oracle Fusion Cloud Applications (via OTBI) and the FDI data warehouse, satisfying the requirement to check individual transactional records.
Statement B: The Schedule tab on the Data Validation page allows administrators to establish automated, recurring execution cadences (such as weekly or post-pipeline refresh intervals), satisfying the requirement to automatically re-verify metrics after future data refreshes.
Why the Incorrect Statements are Wrong
Statement C: Re-applying security configurations under Semantic Model Extensions governs semantic layer permissions and model attributes, not data validation routines or record comparisons.
Statement D: Exporting an application artifact bundle from the Bundles tile is used for moving customizations and extensions between environments, not for setting up data validation or scheduling runs.
Statement E: Resetting source credentials before every run is unnecessary and incorrect, as valid source credentials only need to be configured once on the Source Credentials tab.
NEW QUESTION # 25
A functional administrator is setting up data security for a new custom group and wants users in that group to actually see restricted subject areas and data once they're assigned.
Which two steps are required, based on Oracle's documented sequence for granting a new custom group access?
Answer: A,E
Explanation:
Assign the identified users to the custom group (A): Once the custom group is configured, you must add the relevant users to that specific group to establish their membership identity for access control.
Map the required data duty and licensed roles to the newly created custom group (C): FDI uses a role-based access control (RBAC) model. Mapping the appropriate data duty roles and licensed functional roles to your custom group is a mandatory step that grants the group the necessary privileges to access specific subject areas, data, and dashboard content.
Explanation of the Incorrect Answers
Define a security assignment exclusion rule for every user in the group by default (B): This is incorrect because exclusion rules are used to specifically restrict access to certain data points, not as a standard prerequisite for granting initial access to a new group.
Wait for the next scheduled Application Release before role mappings take effect (D): Role mappings and security assignments are dynamic and take effect as soon as the security synchronization process completes; they do not require waiting for a platform or application release cycle.
Skip role mapping entirely if the group name matches an existing licensed group (E): You cannot skip role mapping; even if names are similar, you must explicitly associate the custom group with the necessary duty and data roles to ensure the security engine can correctly resolve the permissions for those users.
NEW QUESTION # 26
For how many days does the Autonomous Data Warehouse associated with FDI retain automated daily backups?
Answer: A
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 # 27
You are customizing an Overview Dashboard in Oracle Fusion Data Intelligence to display executive performance summaries with tailored metric targets, conditional formatting, and associated dimensions.
Which reusable business object construct should you configure to serve as the foundation for these overview composite visualizations?
Answer: C
Explanation:
D). Key Metrics: In Oracle Fusion Data Intelligence (FDI), Key Metrics are the standardized, reusable business object constructs designed specifically to serve as the foundation for executive dashboards and overview visualizations. They encapsulate business logic, aggregation rules, and targets, ensuring consistency across composite visualizations, KPI cards, and performance summaries.
Why the Incorrect Answers are Wrong
A). Pipeline Parameters: These are configuration settings used to control the behavior of the data extraction pipelines (such as functional area scopes or ledger filters), rather than serving as foundational objects for dashboard visualizations.
B). Data Augmentations: This feature is used to extend the semantic data model by incorporating additional attributes or custom columns from source applications into existing star schemas, not for defining business- level KPIs for dashboard display.
C). Access Control Rules: These define the data security and row-level access permissions for users, ensuring they see only the data they are authorized to view; they do not function as the structural building blocks for visualizations.
NEW QUESTION # 28
You have enabled the Fusion Augmentations feature under Generally Available Features to extract raw public view object (PVO) data at a higher frequency without congesting the main pipeline.
Which limitation applies when using the Fusion Augmentations data source on the Data Configuration page?
Answer: D
Explanation:
A). You cannot activate functional areas using the Fusion Augmentations data source: According to Oracle Fusion Data Intelligence documentation, the Fusion Augmentations data source is dedicated entirely to managing raw public view object (PVO) data augmentations. Because this source operates independently to keep the main pipeline uncongested, you cannot use it to activate or configure standard prebuilt application functional areas (such as core ERP, HCM, or SCM modules).
Why the Incorrect Answers are Wrong
B). You cannot perform frequent data refreshes on tables created by the Fusion Augmentations source: On the contrary, this feature is explicitly designed to support and accelerate high-frequency data refreshes for custom warehouse tables without resource contention.
C). You must deploy a private endpoint before creating data augmentations in the Fusion Augmentations source: Private endpoint deployment is a general network connectivity configuration and is not a unique prerequisite specifically mandated for using the Fusion Augmentations source.
D). You must re-extract all historical data across all functional areas every time a Fusion Augmentations job runs: Fusion Augmentations do not require a full historical re-extraction across all unrelated functional areas every time they run.
NEW QUESTION # 29
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