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| Section | Objectives |
|---|---|
| Fusion Data Intelligence Overview and Activation Planning | - Activation and Implementation Planning
|
| Semantic Model and Analytics Extension | - Dashboards, Reports, and AI Features
|
| Data Pipeline and Warehouse Configuration | - Data Integration and Pipelines
|
| OCI and Identity Configuration | - OCI Infrastructure Configuration
|
| Administration, Monitoring, and Maintenance | - Ongoing Administration
|
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NEW QUESTION # 105
An implementation consultant is preparing to configure global pipeline settings for an integrated Oracle Fusion Data Intelligence deployment. The project team needs to ensure that core enterprise defaults for currency conversion, exchange rates, and transaction extraction start dates are properly established before launching data pipeline extraction.
Which TWO statements correctly describe the rules and behavior of Global Parameters in Oracle Fusion Data Intelligence?
Answer: A,D
Explanation:
Statement B: Global Parameters in Oracle Fusion Data Intelligence (FDI) govern system-wide baseline settings that apply universally across all active functional areas, including enterprise reporting standards like the Initial Extract Date and Target Currency.
Statement D: Because global settings dictate how data is extracted and transformed across the environment from day one, administrators must configure and save Global Parameters prior to activating functional areas and launching the initial data pipeline extraction.
Why the Incorrect Answers are Wrong
Statement A: Changing the Initial Extract Date after the pipeline has run does not automatically pull in prior historical years through an incremental extract; the parameter is locked and requires a data reset to adjust historical boundaries.
Statement C: Global Parameters must be configured before running data pipelines, not after initial execution.
Statement D (alternative interpretation) / E: Global parameters apply environment-wide and are managed under Data Configuration rather than being set on an isolated, subject-area-by-subject-area basis.
NEW QUESTION # 106
Your organization plans to integrate custom reporting subject areas from a standalone Oracle Analytics Cloud instance into your FDI non-production instance using the External Application Merge capability. Before importing and merging the external semantic model in the FDI Console, the implementation team must prepare the database and client environment.
Which TWO steps must be completed prior to importing the external semantic model into FDI?
Answer: C,E
Explanation:
B). Create a custom database schema in the Oracle Autonomous Data Warehouse associated with FDI and grant semantic model access to its objects.
D). Export the semantic model template from FDI and bring custom database objects into its physical layer using Oracle Analytics Client Tools.
Detailed Explanations
Why the Correct Answers are Right
Statement B (Create a custom database schema...): Before merging an external semantic model, you must host your custom data objects inside the Autonomous Data Warehouse (ADW) instance associated with your FDI environment and ensure proper schema access and connection pool mappings are configured.
Statement D (Export the semantic model template...): The standard integration workflow requires administrators to export the base semantic model template from the FDI Console, open it via the Oracle Analytics Client Tools (BI Administration Tool), and integrate or merge the physical and logical layers of the external semantic model with the template prior to re-importing.
Why the Incorrect Answers are Wrong
Statement A: External application merges are restricted to non-production instances, and deploying a private endpoint in production is unrelated to prepping model merge traffic.
Statement C: The FDI virus scanner is strictly for inspecting uploaded files for security risks and has no role in scanning external database tables during pipeline execution.
Statement E: External application merges must be performed and tested in a non-production environment first; they cannot be directly promoted or pushed straight to production via the Promote Objects task without proper staging and import steps.
NEW QUESTION # 107
An organization wants to deploy Oracle Fusion Data Intelligence purely to consolidate and analyze custom enterprise data from external cloud databases, without linking to an Oracle Fusion Cloud Applications source.
Which instance creation option must be selected in the OCI Console to satisfy this deployment scenario?
Answer: B
Explanation:
C). Oracle Fusion Data Intelligence Instance without Fusion Applications Source (Correct) Why it is Correct: Oracle documentation defines three distinct instance creation modes in the OCI Console:
Integrated Instance
Standalone Instance
Oracle Fusion Data Intelligence Instance Without Oracle Fusion Cloud Applications Source When an organization provisions FDI solely to consolidate, augment, and analyze custom enterprise data from external sources (e.g., external cloud databases or third-party applications) without connecting to an Oracle Fusion SaaS source, selecting this option allows administrators to skip specifying Fusion Cloud Applications source connection details entirely during provisioning. (A Fusion source can still be attached later if needed).
A). Integrated Oracle Fusion Data Intelligence Instance created from Fusion Applications (Incorrect) Why it is Wrong: An Integrated instance requires a direct link to an active Oracle Fusion Cloud Applications environment and inherits its tenancy, identity domain, region, and security context automatically.
B). Standalone Oracle Fusion Data Intelligence Instance with OAuth Source Connection (Incorrect) Why it is Wrong: While a Standalone instance allows flexible compartment and tenancy selection, standard standalone setup still expects configuration details to point to an active Oracle Fusion Cloud Applications instance.
D). Standalone Oracle Fusion Data Intelligence Instance with External Semantic Merge (Incorrect) Why it is Wrong: This is a fictitious provisioning term; "External Semantic Merge" refers to customizing RPD
/semantic models after instance deployment, not an OCI provisioning option.
NEW QUESTION # 108
Which FDI release type is applied automatically to every customer on the same day, requires no administrator scheduling, and never changes the data model or content?
Answer: D
Explanation:
Platform Release (D): Platform releases contain service updates, backend infrastructure updates, security patches, and updates to the administrative Console. Oracle applies these patches automatically across all customer environments on the same day without requiring administrator scheduling or action. Because they focus entirely on infrastructure and service layers, they never modify the underlying data model or analytical content.
Explanation of the Incorrect Answers
Application Release (A): These releases contain data model updates and new analytical content. They feature auto-update target dates that administrators can customize or manually trigger ahead of time via the Console.
Major Quarterly Content Release (B): This is a descriptive term often used broadly for major application or feature cadences, but it involves content and data model changes governed by scheduled application update targets rather than immediate, automated platform-only deployment.
Emergency Data Model Patch (C): Emergency or hotfix patches are deployed to address specific urgent bugs or critical issues, which may target data models or functional logic rather than serving as the standard automated platform-wide maintenance routine.
NEW QUESTION # 109
Which database structure holds FDI's prebuilt data model?
Answer: C
Explanation:
Oracle Fusion Data Intelligence (FDI) structures its prebuilt data model within an immutable star schema implemented on the underlying Oracle Autonomous Data Warehouse. The core out-of-the-box fact and dimension tables are preconfigured and locked by Oracle to preserve data integrity and ensure smooth application lifecycle updates, while still allowing users to append custom data models through extension interfaces.
Why the Other Options Are Incorrect
A). Relational third-normal-form schema: Third-normal-form schemas are typically deployed in operational transactional systems (OLTP) to reduce data redundancy, whereas enterprise analytics platforms rely on dimensional star schemas optimized for aggregation speed and reporting performance.
B). Document store: Document stores are NoSQL repositories designed for semi-structured data like JSON documents, which contrasts sharply with the structured relational dimensional layout used by FDI.
D). Graph database: Graph databases specialize in managing complex network relationships and connected data nodes rather than the multi-dimensional fact and dimension aggregations required for business intelligence workloads.
NEW QUESTION # 110
......
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