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| Section | Objectives |
|---|---|
| Topic 1: Oracle Fusion Data Intelligence | - Solution Overview and Architecture - Validation and Troubleshooting - Bundles, Backup and Restoration - Data Pipelines and Data Loading - Instance Provisioning and Configuration - Analytics and Reporting - Semantic Model Extensions and Customization - Data Augmentation - Security and Access Management - Administration and Configuration |
| Topic 2: Oracle Cloud Infrastructure | - OCI Concepts Relevant to Fusion Data Intelligence - Cloud Infrastructure Configuration - Security and Access |
| Topic 3: Oracle Fusion Cloud Applications | - Application Data and Business Processes - Fusion Cloud Applications Overview - Integration with Fusion Data Intelligence |
| Topic 4: Functional Consultancy | - Configuration and Validation - Implementation Decisions - Business Requirements Analysis - Troubleshooting and Verification |
| Topic 5: Requirements Management | - Implementation and Change Considerations - Requirements Analysis and Prioritization - Requirements Gathering |
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NEW QUESTION # 98
Which scheduled process must you run in Fusion Applications if BI-enabled DFF columns don't appear in OTBI after deployment?
Answer: A
Explanation:
C). Import Oracle Fusion Data Extensions for Transactional Business Intelligence Explanation of the Correct Answer When you make Descriptive Flexfields (DFFs) BI-enabled or make structural modifications to flexfields in Oracle Fusion Applications, the changes are not immediately visible in business intelligence layers. You must run the scheduled process named "Import Oracle Fusion Data Extensions for Transactional Business Intelligence" in the source Fusion Cloud Applications instance. This process extracts the updated metadata definitions-including the newly enabled DFF columns-and updates the underlying transactional business intelligence repository and views so they appear correctly in OTBI reports.
Why the Other Options Are Incorrect
A). Reset and Reload Data Source: This is not a standard scheduled process name used in Oracle Fusion Applications for refreshing flexfield metadata or making DFF columns available to intelligence tools.
B). Publish Flexfield Metadata: While flexfields must be deployed and compiled, "Publish Flexfield Metadata" is not the correct scheduled process name used to push DFF changes to the business intelligence data layer.
D). Synchronize Security Assignments: This process handles the synchronization of user roles, job responsibilities, and security privileges rather than updating reporting metadata or extending BI views with new flexfield columns.
NEW QUESTION # 99
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: D
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 # 100
Which database structure holds FDI's prebuilt data model?
Answer: A
NEW QUESTION # 101
Which statement is true regarding the OCI compartment and IAM policy requirements when preparing to create an Oracle Fusion Data Intelligence instance?
Answer: B
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 # 102
An implementation team is preparing to execute data validation tests comparing metrics in Oracle Fusion Data Intelligence against Oracle Transactional Business Intelligence (OTBI). The lead consultant needs to verify that all prerequisite user setups, security roles, and credential configurations are correctly in place before creating validation sets. Which TWO actions are mandatory prerequisites for executing data validation in this environment?
Answer: C,E
Explanation:
A). Create a custom BI Abstract role and assign it to the dedicated validation user in Oracle Fusion Cloud Applications: To ensure the validation user can retrieve the necessary metrics from OTBI for comparison, they must be provisioned with the appropriate BI Abstract role within the source Oracle Fusion Cloud Applications environment.
C). Ensure the validation user exists in both FDI and Fusion Applications with identical data security privileges: It is a core requirement that the dedicated validation user accounts in both the source Fusion Applications and the FDI instance hold equivalent data security access privileges to ensure the accuracy and alignment of the data being compared.
Why the Incorrect Answers are Wrong
B). Deploy a private endpoint in OCI before enabling the Data Validation console tile: While networking configurations are important, deploying a private endpoint is not a functional prerequisite for enabling the Data Validation console tile.
D). Configure row-level data security filters within the Object Permissions tab of Semantic Model Extensions:
Validation relies on comparing aggregated source metrics against warehouse data; row-level security configuration in the semantic model is not a mandatory prerequisite for setting up validation sets.
E). Reset the Autonomous Data Warehouse admin password before saving Source Credentials: The Source Credentials tab is used to configure application-level source authentication (such as the validation user credentials for Fusion Applications), not database-level administrative passwords for the Autonomous Data Warehouse.
NEW QUESTION # 103
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