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| Section | Objectives |
|---|---|
| Topic 1: OCI and Identity Configuration | - OCI Infrastructure Configuration
|
| Topic 2: Fusion Data Intelligence Overview and Activation Planning | - Architecture and Core Components
|
| Topic 3: Semantic Model and Analytics Extension | - Semantic Model Customization
|
| Topic 4: Data Pipeline and Warehouse Configuration | - Data Validation and Quality
|
| Topic 5: Administration, Monitoring, and Maintenance | - Ongoing Administration
|
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질문 # 52
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?
정답：A
설명：
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.
질문 # 53
Which OCI service protects an FDI-associated Autonomous Data Warehouse with auditing and alerting?
정답：C
설명：
Explanation of the Correct Answer
Oracle Data Safe is an Oracle Cloud Infrastructure (OCI) security service designed to protect Oracle Databases, including the underlying Autonomous Data Warehouse (or Autonomous AI Lakehouse) associated with Oracle Fusion Data Intelligence. It provides built-in capabilities for security assessments, user assessments, data discovery, data masking, and activity auditing and alerting to monitor database activity and enforce data security standards.
Why the Other Options Are Incorrect
B） Vanity URL: A vanity URL is a customized, user-friendly domain name or web address used to access an application endpoint rather than a security, auditing, or compliance service for databases.
C） Bundle Repository: A bundle repository manages application metadata artifacts and customized extension packages during lifecycle deployments between environments, rather than performing database monitoring or security auditing.
D）Search Index: A search index optimizes text queries and information retrieval across catalog objects or documents, lacking any database security, threat detection, or audit alerting features.
질문 # 54
You have created and published several semantic model extensions in your non-production environment and verified that all custom subject areas are functioning correctly in reporting workbooks. How should you move these tested semantic model customizations into your Production environment?
정답：C
설명：
C). Use the Promote Objects console task to promote the semantic model changes to Production: In Oracle Fusion Data Intelligence (FDI), once semantic model extensions, security configurations, and key metrics are fully developed and tested in a non-production master environment, administrators use the Promote Objects console task under Application Administration. This feature securely packages and pushes the tagged semantic model changes and configurations directly to the target production instance.
Why the Incorrect Answers are Wrong
A). Run an External Application Merge directly against the Production instance URL: External application merges are intended for integrating legacy or external Oracle Analytics repositories into non-production environments rather than directly updating live production schemas via URL connection.
B). Execute an incremental data pipeline reload from Fusion Applications into Production: Pipeline reloads handle the transactional data extraction and synchronization into the Autonomous Data Warehouse, whereas semantic model extensions manage metadata, subject areas, and logical layer definitions.
D). Re-create the semantic model manually using SQL Developer in Autonomous Data Warehouse: Manual database-level scripts in SQL Developer cannot replicate or properly compile semantic model extensions managed through the FDI Console's native sandbox and branch framework.
질문 # 55
Your organization already runs Oracle Fusion Cloud Applications and wants to provision FDI so that user, group, and role definitions are shared automatically between the two, rather than maintained separately.
What should you do from within Fusion Cloud Applications to achieve this?
정답：C
설명：
B). Navigate to the Environment page in Fusion Cloud Applications and add Fusion Data Intelligence to the environment.
Explanation of the Correct Answer
To automatically share user, group, and role definitions between Oracle Fusion Cloud Applications and Oracle Fusion Data Intelligence (FDI) without manual intervention, you must provision FDI as an integrated instance. This is achieved by logging into your source Oracle Fusion Cloud Applications environment, navigating to the Environment page (under My Applications), and selecting the option to add Fusion Data Intelligence directly. This self-service integration action automatically binds the two environments to the same identity domain and sets up automated user and role synchronization.
Why the Other Options Are Incorrect
A). Create a standalone FDI instance directly from the OCI Console using a new compartment: Provisioning an FDI instance purely as a standalone service from OCI without linking it to the source application environment prevents automatic synchronization of Fusion Cloud Application users, groups, and security roles.
C). Manually export the Fusion Cloud Applications user list and upload it through FDI's Upload Center: This approach is cumbersome, inefficient, and counter to FDI's native architecture, which automates user provisioning and role synchronization rather than relying on manual list uploads.
D). Request Oracle Support to link the two services' identity domains after both instances already exist: While identity domains can sometimes be managed or reviewed with support assistance, provisioning an integrated instance directly through the Fusion Applications Environment page is the standard, automated mechanism designed to bind the services correctly from the start.
질문 # 56
A service administrator wants to schedule an automated monthly full data reload for the General Ledger functional area while maintaining standard daily incremental extractions.
Which feature must be enabled under Pipeline Features in Generally Available Features to expose this capability on the Pipeline Settings page?
정답：C
설명：
D). Scheduled Full Data Reload: According to Oracle Fusion Data Intelligence documentation, the Scheduled Full Data Reload feature must be enabled under Pipeline Features in Generally Available Features to expose the warehouse full reload scheduling capabilities on the Pipeline Settings page. This enables administrators to schedule periodic full reloads for select functional areas (such as General Ledger) on a weekly, monthly, or quarterly basis while maintaining standard daily incremental extractions.
Why the Incorrect Answers are Wrong
A). Frequent Refresh: This feature is used to enable high-frequency data refresh intervals (such as every 4 hours or more frequently) rather than full data reloads.
B). Reset and Reload the Data Source: This feature enables a complete, one-off reset and reload of the entire data source (often used after a Production-to-Test refresh) rather than automated periodic full reloads of specific functional areas.
C). Override Data Pipeline Schedules: This feature is used to modify or override default functional area execution schedules rather than enabling full reload capabilities.
질문 # 57
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