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| Section | Objectives |
|---|---|
| Data Pipeline Configuration and Validation | - Data validation prerequisites - Functional areas - Preview and Generally Available features - Global and reporting parameters - Detailed and scheduled data-validation processes |
| Security Configuration | - Security automation - Users and groups - Data-security assignments - Object security |
| Customization, Extensibility, Administration, and Maintenance | - AI and AIDP capabilities - Incremental uploads and instance lifecycle activities - Security framework customization - Bundles for backup and restore - User experience customization - Data Augmentation and External Applications - Test-to-production migration and bulk deployment - Upgrades and releases - Semantic model extensions |
| Oracle Fusion Data Intelligence Fundamentals | - Oracle Fusion Data Intelligence solution, capabilities, components, and functional architecture - Oracle Fusion Cloud Applications and Oracle Cloud Infrastructure concepts |
| Implementation Prerequisites and Instance Creation | - Private endpoint deployment considerations - Oracle Cloud Infrastructure prerequisites and identity considerations - Ordering and activation requirements - FDI instance provisioning and configuration - Single Sign-On activation and Fusion Applications prerequisites |
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NEW QUESTION # 118
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 # 119
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: B,D
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 # 120
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: D
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 # 121
Which underlying mechanism does the Oracle Fusion Data Intelligence pipeline use to extract operational data from Oracle Fusion Cloud Applications?
Answer: A
Explanation:
C). Business Intelligence Cloud Connector
Explanation for the Correct Answer
The Oracle Fusion Data Intelligence (FDI) pipeline leverages the Business Intelligence Cloud Connector (BICC) as the core underlying mechanism to extract bulk transactional data and metadata views (known as Pivot View Objects or PVOs) from Oracle Fusion Cloud Applications. BICC is specifically optimized for high-volume SaaS data extraction, natively supporting both full initial loads and scheduled incremental (delta) updates.
Why the Other Options Are Incorrect
A). Oracle GoldenGate Change Data Capture: GoldenGate provides real-time, log-based database replication, but it is not the built-in application-level extraction mechanism utilized by standard Oracle Fusion Data Intelligence pipelines to extract structured data from Oracle Fusion SaaS applications.
B). OCI Data Integration REST Connectors: While OCI Data Integration handles general-purpose cloud ETL and uses various connectors for custom integrations, it is not the native underlying framework built into the automated Oracle Fusion Data Intelligence pipeline.
D). Oracle Enterprise Data Quality Engine: This engine is built for data profiling, cleansing, validation, and matching, rather than serving as the high-volume data extraction framework for pulling operational tables out of cloud applications.
NEW QUESTION # 122
An organization maintains a strict disaster recovery strategy for its production Oracle Fusion Data Intelligence environment. The lead administrator needs to establish a regular backup routine for all custom analytics configurations and store the backup files in an external OCI Object Storage bucket for long-term retention.
Which TWO actions should the administrator take to establish this backup routine?
Answer: B,D
Explanation:
B). Create an Environment Bundle in the Oracle Fusion Data Intelligence Console under Application Administration.
C). Export the generated bundle file from the Bundles page and upload it to the secure OCI Object Storage bucket.
Explanation of the Correct Answers
To establish a backup routine for custom analytics configurations in Oracle Fusion Data Intelligence (FDI), administrators must leverage the platform's native bundling mechanism.
Environment Bundles (Option B) encompass all essential elements, including semantic model extensions, security roles, and catalog content required to preserve a point-in-time state of the custom environment. They are created directly through the FDI Console under Application Administration > Bundles.
Exporting and Storing (Option C) involves downloading the generated archive bundle file and transferring it to a resilient external destination, such as an OCI Object Storage bucket, for long-term retention and disaster recovery compliance.
Why the Other Options Are Incorrect
A). Export Oracle Analytics Cloud snapshots (.bar files) directly from the underlying OAC administration console on a weekly schedule: Oracle Fusion Data Intelligence does not use traditional standalone OAC snapshots (.bar files) from the underlying OAC console for system backups; it relies entirely on FDI application and environment bundles.
D). Enable the automated weekly data warehouse export in the Security Automation console: There is no such feature or console named the "Security Automation console" designated for automated data warehouse configuration backups in FDI.
E). Run a hard reset on the Autonomous Data Warehouse instance before exporting the application bundle:
Performing a hard reset on the underlying database instance wipes or disrupts the environment and is completely counterproductive when trying to perform a routine backup of existing configurations.
NEW QUESTION # 123
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