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| Section | Objectives |
|---|---|
| Topic 1: OCI and Identity Configuration | - Security and Access Control
|
| Topic 2: Fusion Data Intelligence Overview and Activation Planning | - Architecture and Core Components
|
| Topic 3: Data Pipeline and Warehouse Configuration | - Data Validation and Quality
|
| Topic 4: Administration, Monitoring, and Maintenance | - Ongoing Administration
|
| Topic 5: Semantic Model and Analytics Extension | - Semantic Model Customization
|
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問題 #49
Which OCI service protects an FDI-associated Autonomous Data Warehouse with auditing and alerting?
答案：D
解題說明：
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.
問題 #50
Which authentication method is officially recommended by Oracle when configuring source application details during the creation of an Oracle Fusion Data Intelligence instance?
答案：B
解題說明：
B). JWT Based token authentication using a trusted issuer (Correct)
Why it is Correct: Oracle explicitly recommends JWT Based (JSON Web Token) authentication when configuring source Fusion Cloud Applications details during Oracle Fusion Data Intelligence (FDI) instance creation. JWT authentication provides a secure, token-based mechanism utilizing an RSA key pair and a trusted issuer (FAWServiceJWTIssuer), eliminating the risks associated with storing and transmitting static user passwords for automated pipeline extractions.
A). Password Based authentication using basic HTTP auth headers (Incorrect) Why it is Wrong: While password-based authentication is supported as an alternative option, it relies on static service account credentials and is not the officially recommended best practice by Oracle.
C). SAML 2.0 Web Browser SSO profile authentication (Incorrect)
Why it is Wrong: SAML 2.0 Web Browser SSO profile is used for federating end-user logins via interactive browser sessions, not for non-interactive server-to-server data pipeline extraction calls.
D). Kerberos Ticket Granting Service token authentication (Incorrect)
Why it is Wrong: Kerberos is an on-premises network authentication protocol and is not used for authentication between Oracle Cloud SaaS and PaaS instances.
問題 #51
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?
答案：D
解題說明：
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.
問題 #52
You have created new custom data security filters and modified object permissions for several custom subject areas in the FDI Console. What action must you perform next to deploy these custom security configurations into the active semantic model for end users?
答案：B
解題說明：
C). Publish the semantic model extension from the Console
Explanation:
When you make modifications via the Semantic Model Extensions framework-including custom data security filters (defined via Configure Data Security) and object-level permissions (defined via Configure Object Permissions)-these changes are held in a development or staging state. Publishing the extension is the required step to compile these metadata changes, validate them against the model, and push them to the active reporting layer where they become enforced and visible for end users.
The other options are incorrect for the following reasons:
A). Re-provisioning the FDI private endpoint is a network infrastructure task and has no role in deploying metadata or security configurations.
B). Resetting source credentials manages connectivity to external data sources and does not trigger metadata publication.
D). Uploading a security CSV file is not the mechanism for deploying security configurations defined within the FDI Console's security framework; security rules are configured natively within the console interface.
問題 #53
Your organization is planning to test new data pipeline features and connectors in a non-production Oracle Fusion Data Intelligence instance. The lead implementer needs to understand how Preview features are governed, configured, and managed within the FDI Console before granting access to project teams. Which TWO statements correctly describe the management and behavior of Preview features in Oracle Fusion Data Intelligence?
答案：B,C
解題說明：
Statement A: In Oracle Fusion Data Intelligence (FDI), all preview and opt-in features are disabled by default upon release. A functional administrator must explicitly navigate to the Enable Features console page and toggle them on.
Statement C: Preview features represent early-access or experimental capabilities that administrators can selectively turn on or off individually as needed for testing and evaluation purposes within non-production environments.
Why the Incorrect Statements are Wrong
Statement B: Enabling a preview feature is a metadata-level and application configuration toggle within the console UI; it does not require re-provisioning or disrupting the underlying Autonomous Data Warehouse instance.
Statement D: Preview features are additive or experimental capabilities; they never automatically overwrite or replace existing Generally Available pipeline configurations or active operational settings.
Statement E: Preview features are managed through the Enable Features tile under Application Administration, not through the System Settings tile under Service Administration.
問題 #54
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