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| Section | Objectives |
|---|---|
| Requirements Management | - Implementation and Change Considerations - Requirements Gathering - Requirements Analysis and Prioritization |
| Oracle Cloud Infrastructure | - OCI Concepts Relevant to Fusion Data Intelligence - Cloud Infrastructure Configuration - Security and Access |
| Oracle Fusion Cloud Applications | - Application Data and Business Processes - Integration with Fusion Data Intelligence - Fusion Cloud Applications Overview |
| Oracle Fusion Data Intelligence | - Analytics and Reporting - Validation and Troubleshooting - Bundles, Backup and Restoration - Data Pipelines and Data Loading - Solution Overview and Architecture - Security and Access Management - Administration and Configuration - Instance Provisioning and Configuration - Data Augmentation - Semantic Model Extensions and Customization |
| Functional Consultancy | - Troubleshooting and Verification - Implementation Decisions - Business Requirements Analysis - Configuration and Validation |
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NEW QUESTION # 74
You are preparing to import a bundle containing updated semantic model extensions into your Production environment, but the Production instance already contains existing custom subject areas created by another team.
What happens to the existing Production semantic model customizations when the imported bundle is applied?
Answer: A
Explanation:
Why Option C is Correct
When deploying a semantic extensions bundle into an environment containing existing modifications, Oracle Fusion Data Intelligence (FDI) supports a merge operation. This mechanism intelligently integrates new or updated semantic model components, custom subject areas, and extensions from the bundle with the pre- existing customizations already present in the target environment, preserving non-conflicting model steps rather than wiping out the entire environment.
Why the Other Options Are Incorrect
A). The imported bundle forces a hard database reset and deletes all Autonomous Data Warehouse staging tables: Importing an application or semantic bundle deals exclusively with application metadata and metadata repository configurations; it does not trigger a hard database reset or wipe transactional staging tables in the Autonomous Data Warehouse.
B). The import operation aborts immediately and revokes all active application role assignments: A valid bundle import passes validation checks and applies successfully without throwing immediate abort errors or stripping active user security role mappings.
D). The imported bundle overwrites OCI IAM identity domain security groups while leaving subject areas untouched: Semantic and content bundles target application-level artifacts and model layers rather than tenancy-wide OCI IAM identity domain security groups.
NEW QUESTION # 75
You are creating a Composite Bundle to export a curated package of application catalog artifacts from a development environment to a target instance.
Which artifact type must you plan to manually recreate or re-import in the target instance because it is excluded from Composite Bundles?
Answer: D
Explanation:
D). User-created datasets, connections, and machine learning models
Explanation of the Correct Answer
When you build a Composite Bundle in Oracle Fusion Data Intelligence (FDI)-which combines multiple individual bundle types like Content, Security, and Semantic Models-certain catalog-level items are omitted by design. Specifically, Oracle Analytics Cloud (OAC) content snapshots capture folders excluding datasets.
Because user-created datasets and certain standalone ML artifacts are not natively packaged inside standard catalog or composite bundle exports, administrators must manually recreate or re-import them (such as via Data Visualization Archive files) into the target instance.
Why the Other Options Are Incorrect
A). Customized key metrics and semantic extension subject areas: These elements are fully supported and included natively within Content bundles and Semantic Model bundles, allowing them to be seamlessly packaged and deployed as part of a Composite Bundle.
B). Functional area activation metadata and global reporting parameters: Pipeline parameters, global configurations, and functional area activation metadata are explicitly handled and bundled via Data Configuration bundles, which integrate directly into composite deployment structures.
C). Custom application roles and object security permissions: Custom application roles, data security rules, and role-to-group assignments are fully supported inside Security bundles, meaning they are successfully included and migrated through Composite Bundles.
NEW QUESTION # 76
An admin user wants to use Bulk Data Augmentation to load several external, non-Fusion datasets that share the same connector, minimizing the number of extraction jobs needed.
Which two statements accurately describe Bulk Data Augmentation?
Answer: B,E
Explanation:
A and E
Detailed Explanations of the Correct Options
A). It submits a single extraction job covering multiple data stores to the Data Pipeline component: Bulk Data Augmentation allows administrators to group multiple data stores sharing the same connector into a single bundle, submitting them as one consolidated extraction job to the Data Pipeline framework to minimize management overhead.
E). It is especially useful for loading multiple external datasets that are functionally related, such as ledger or party entities: The feature is engineered specifically to streamline the loading and management of groups of related external non-Fusion datasets, such as associated ledger or party entities.
Detailed Explanations of the Incorrect Options
B). It requires each data store to use a different, unrelated connector: This statement is false because Bulk Data Augmentation specifically requires all included data stores to share the same connector or data source.
C). It supports Oracle Fusion Applications sources as well as external sources: This statement is incorrect because Bulk Data Augmentation is restricted exclusively to non-Fusion external data sources and does not support native Oracle Fusion Applications sources.
D). It replaces the need for the Data Pipeline component entirely: This statement is wrong because Bulk Data Augmentation utilizes the Data Pipeline component to process and execute the bundled job rather than replacing it.
NEW QUESTION # 77
Which statement is true regarding the OCI compartment and IAM policy requirements when preparing to create an Oracle Fusion Data Intelligence instance?
Answer: D
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 # 78
After increasing or decreasing the ECPU count for the Autonomous Data Warehouse, what must you run for the change to take effect?
Answer: C
Explanation:
Pipeline incremental job (A): After increasing or decreasing the ECPU count (or compute units) for the Autonomous Data Warehouse associated with Oracle Fusion Data Intelligence, you must run a pipeline incremental job so that the changes, such as updated maximum connection limits, take full effect across the application framework.
Explanation of the Incorrect Answers
A full data warehouse reset (B): This action completely resets the warehouse data and structures (often required for major global configuration changes like language parameters), which is unnecessary and overly disruptive for a simple compute scale-up or scale-down.
A new environment bundle (C): Environment bundles are used for migrating, importing, and deploying semantic models, application objects, or customizations between different instances rather than applying backend database resource scaling changes.
A Detailed Data Validation report (D): This report is utilized to check data integrity, schema consistency, and data reconciliation between source applications and the target data warehouse, rather than updating provisioned infrastructure compute capacity.
NEW QUESTION # 79
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