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| Section | Objectives |
|---|---|
| Security Configuration | - Data-security assignments - Security automation - Object security - Users and groups |
| Customization, Extensibility, Administration, and Maintenance | - Security framework customization - AI and AIDP capabilities - Data Augmentation and External Applications - User experience customization - Bundles for backup and restore - Semantic model extensions - Test-to-production migration and bulk deployment - Upgrades and releases - Incremental uploads and instance lifecycle activities |
| Data Pipeline Configuration and Validation | - Detailed and scheduled data-validation processes - Global and reporting parameters - Data validation prerequisites - Functional areas - Preview and Generally Available features |
| Implementation Prerequisites and Instance Creation | - Private endpoint deployment considerations - Ordering and activation requirements - Oracle Cloud Infrastructure prerequisites and identity considerations - FDI instance provisioning and configuration - Single Sign-On activation and Fusion Applications prerequisites |
| Oracle Fusion Data Intelligence Fundamentals | - Oracle Fusion Cloud Applications and Oracle Cloud Infrastructure concepts - Oracle Fusion Data Intelligence solution, capabilities, components, and functional architecture |
>> Valid 1z0-1128-26 Test Questions <<
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NEW QUESTION # 126
Which database structure holds FDI's prebuilt data model?
Answer: B
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 # 127
Which exact string value must be entered as the trusted issuer when configuring JWT-based authentication for Oracle Fusion Data Intelligence single sign-on access?
Answer: B
Explanation:
B). FAWServiceJWTIssuer (Correct)
Why it is Correct: When configuring token-based (JWT) authentication for Oracle Fusion Data Intelligence (FDI) data source connections and single sign-on flows, Oracle documentation explicitly specifies that the Trusted Issuer field in the JWT Authentication Provider configuration must be set to the exact string FAWServiceJWTIssuer. This tells Oracle Fusion Cloud Applications to trust the JSON Web Token issued during pipeline extraction and user identity token exchange.
A). FAWServiceOAuthIssuer (Incorrect)
Why it is Wrong: FAWServiceOAuthIssuer is not a recognized configuration parameter or system-trusted token string within Oracle Fusion Data Intelligence or OCI Identity setup.
C). FAWServiceSAMLProvider (Incorrect)
Why it is Wrong: SAML and JWT are distinct authentication protocols. While FDI supports federated SSO via SAML 2.0 with IDCS/OCI Identity Domains, FAWServiceSAMLProvider is not a valid parameter string for JWT authentication provider configuration.
D). FAWServiceTokenAuthority (Incorrect)
Why it is Wrong: FAWServiceTokenAuthority is not a valid string value used by Oracle Fusion Cloud Applications for validating incoming JWT signatures from FDI.
NEW QUESTION # 128
Which statement is true regarding the OCI compartment and IAM policy requirements when preparing to create an Oracle Fusion Data Intelligence instance?
Answer: A
Explanation:
A). The IAM policy granting manage permissions for Autonomous Data Warehouse must target the same compartment where the FDI instance is created. (Correct) Why it is Correct: Oracle Fusion Data Intelligence automatically provisions an underlying Oracle Autonomous Data Warehouse (ADW) instance within the target OCI compartment specified during setup.
Therefore, the administrative IAM policies governing ADW resources (autonomous-database or autonomous- data-warehouse) must be scoped to match the designated compartment where the FDI service instance and its underlying data warehouse reside.
B). Oracle Fusion Data Intelligence instances must be created exclusively in the root compartment of the Oracle Cloud Infrastructure tenancy. (Incorrect) Why it is Wrong: Administrators can select the root compartment or any pre-created sub-compartment/child compartment within the tenancy to house the FDI instance.
C). IAM policies for managing FDI resources must be written at the tenancy level and cannot be scoped to a specific child compartment. (Incorrect) Why it is Wrong: OCI IAM policies follow standard compartment inheritance. Administrators can scope permissions specifically to a targeted compartment (e.g., ALLOW GROUP FDI_Admins TO MANAGE analytics-warehouses IN COMPARTMENT Production_Analytics).
D). Non-administrator users can create an FDI instance without being assigned to an OCI group if granted the Fusion Security Console admin role. (Incorrect) Why it is Wrong: Instance creation requires explicit privileges within Oracle Cloud Infrastructure (OCI) IAM (specifically membership in an OCI group with permissions to manage analytics and database resources).
SaaS duty roles inside the Fusion Security Console do not grant authorization to create OCI cloud infrastructure resources.
NEW QUESTION # 129
A lead architect needs to establish an application release update strategy that allows the testing team to validate custom reporting content on new quarterly features in non-production before the update is applied to Production.
Which configuration strategy satisfies this requirement?
Answer: B
Explanation:
Why Option D is Correct
In Oracle Fusion Data Intelligence (FDI), service administrators can control quarterly application updates and feature patches using the Release Updates configuration tile under Service Administration. To meet the requirement of testing and validating custom reporting content against new features prior to a production release, the standard best practice is to schedule the non-production instance update for an earlier date than the production instance. This grants the testing team a dedicated validation window in a non-production environment before the changes automatically or manually propagate to production.
Why the Other Options Are Incorrect
A). Export an application bundle from Production and restore it into non-production immediately after the Production update finishes: Exporting and restoring a bundle after production has already been updated completely reverses the deployment timeline. It fails to provide a staging environment to validate new features before production adoption.
B). Use Promote Objects to force the Production release update build onto the non-production instance ahead of schedule: Object promotion features (or migration bundles) are designed strictly to transfer custom metadata, semantic models, and reporting artifacts between environments. They cannot alter platform software versions or force core quarterly application release builds ahead of schedule.
C). Set the pipeline schedule parameter in Global Parameters to freeze all data extractions until both environments are updated simultaneously: Global Parameters govern data warehouse application variables and functional pipeline ingestion behavior. They do not control software patching milestones, quarterly feature upgrades, or environment update sequences.
NEW QUESTION # 130
Your organization is preparing to apply a new FDI Application Release and wants to understand what happens if no manual action is taken before the predefined auto-update date, while also confirming business users won't lose access to reporting during the process.
Which two statements are correct about this behavior?
Answer: B,D
Explanation:
Explanation of the Correct Answers
Oracle automatically updates your data model and content on the predefined date if you haven't updated manually (B): If an administrator does not manually trigger or reschedule an Application Release before its scheduled deadline, Oracle automatically applies the update on the predefined auto-update target date to ensure environments remain current.
All reports and dashboards remain available during the upgrade process (D): FDI is architected with high availability in mind; during standard application updates and data model patching, end users do not lose access to their existing dashboards and reports, ensuring uninterrupted business operations.
Explanation of the Incorrect Answers
Application Releases only apply to Platform-level security patches, not the data model (A): This is incorrect because Application Releases specifically deliver data model enhancements, new semantic structures, and updated analytical content, whereas Platform Releases handle underlying service infrastructure and security patches.
Business users lose access to all dashboards for 24 hours during any Application Release (C): This is false; updates do not cause extended 24-hour downtime for reporting environments.
You cannot change the auto-update target date once it's been set by Oracle (E): Administrators are given flexibility within the Console's Release Updates area to reschedule or adjust auto-update target dates within the allowed maintenance window before the automated application occurs.
NEW QUESTION # 131
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