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| Section | Objectives |
|---|---|
| Topic 1: Oracle Cloud Infrastructure | - OCI Concepts Relevant to Fusion Data Intelligence - Cloud Infrastructure Configuration - Security and Access |
| Topic 2: Functional Consultancy | - Troubleshooting and Verification - Implementation Decisions - Business Requirements Analysis - Configuration and Validation |
| Topic 3: Oracle Fusion Cloud Applications | - Integration with Fusion Data Intelligence - Application Data and Business Processes - Fusion Cloud Applications Overview |
| Topic 4: Oracle Fusion Data Intelligence | - Instance Provisioning and Configuration - Validation and Troubleshooting - Security and Access Management - Data Augmentation - Analytics and Reporting - Semantic Model Extensions and Customization - Administration and Configuration - Bundles, Backup and Restoration - Data Pipelines and Data Loading - Solution Overview and Architecture |
| Topic 5: Requirements Management | - Requirements Gathering - Implementation and Change Considerations - Requirements Analysis and Prioritization |
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NEW QUESTION # 119
You are creating custom data security rules for five regional business units in Oracle Fusion Data Intelligence using five distinct data-type application roles. How does the Semantic Model Extensions framework organize these custom data security definitions within the customization pipeline?
Answer: A
Explanation:
D). Each data-type application role configuration generates exactly one customization step: Within the Semantic Model Extensions framework in Oracle Fusion Data Intelligence (FDI), administrators use the Configure Data Security task wizard to define row-level security filters. According to Oracle architecture guidelines, you can add and manage one customization step for each data role, meaning configuring five distinct data-type application roles yields five individual, discrete security customization steps in the pipeline.
Why the Incorrect Answers are Wrong
A). All custom data security definitions are combined into a single global system parameter: Security configurations for multiple roles are treated as discrete, independent rule-sets per application role rather than being merged into a single global parameter.
B). Security configurations are saved as unmanaged SQL scripts in Autonomous Data Warehouse: Security rules and configurations are managed natively within the FDI Console's metadata extension framework, not as unmanaged database-level SQL scripts.
C). Data security rules automatically generate an exported .DVA archive file in the Uploads Center: Data security configurations reside as internal metadata and semantic model security steps, not as automatic .DVA file exports inside the Uploads Center.
NEW QUESTION # 120
Which OCI role or group must a user hold to activate the FDI subscription?
Answer: C
Explanation:
A). OCI_Administrator role or Administrators group
Explanation of the Correct Answer
OCI_Administrator role or Administrators group (A): To successfully activate an Oracle Fusion Data Intelligence (FDI) subscription (as well as its prerequisite Universal Credits subscription), the user must be a cloud administrator who has been explicitly assigned the OCI_Administrator role or added to the Administrators group within the target cloud account or OCI tenancy.
Explanation of the Incorrect Answers
Modeler Administrator (B): This role handles data modeling tasks within the analytics environment rather than possessing the high-level cloud account administration permissions required for tenancy service activations.
Integration Specialist Group (C): This group is typically responsible for setting up integrations, data pipelines, or middleware data flows rather than managing account-level subscriptions.
Functional Administrator (D): This role is designed for managing application-specific functional setups and configurations rather than global tenancy administration and subscription provisioning.
NEW QUESTION # 121
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?
Answer: B
Explanation:
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.
NEW QUESTION # 122
Which FDI bundle type should an administrator create when performing a complete system backup that captures all supported application artifacts across content, data configurations, semantic extensions, and security settings into a single snapshot?
Answer: C
Explanation:
A). Bundles can be deployed onto target environments running the same content version as the source or a higher content version, but cannot be deployed to a target environment running an older version than the source.
Why Option A is Correct
According to Oracle Fusion Data Intelligence (FDI) guidelines, bundles function on environments where the source and target instances are at the same version level, or where the source instance is at an older/lower version and the target instance is at a newer/higher version (e.g., a bundle generated from a previous content version can be successfully deployed onto a latest content version environment). Conversely, bundles cannot be deployed backward to an older target environment due to metadata and schema compatibility constraints.
Why the Other Options Are Incorrect
B). If a bundle snapshot exceeds 1 GB in size, Oracle Fusion Data Intelligence automatically compresses and splits the file archive into multiple parts during export: FDI does not automatically split oversized bundles.
Administrators must manually ensure that bundle sizes stay below the recommended 1 GB limit by selectively including necessary artifacts.
C). Restoring an environment using a bundle automatically executes a full historical data pipeline reset without administrative intervention: Restoring or deploying an environment-level bundle requires proper sequencing- such as pre-deploying data configuration bundles or manually activating data pipelines-rather than triggering an automatic, unassisted full historical reset.
D). Oracle Fusion Data Intelligence uses native Oracle Analytics Cloud snapshot files (.bar) as its primary snapshot mechanism for system backup and restore: FDI utilizes its own comprehensive internal bundle framework (supporting Data Config, Semantic Model, Content, and Composite bundle types) rather than relying exclusively on native OAC .bar catalog files for full system backups.
NEW QUESTION # 123
Which underlying mechanism does the Oracle Fusion Data Intelligence pipeline use to extract operational data from Oracle Fusion Cloud Applications?
Answer: B
Explanation:
C). Business Intelligence Cloud Connector
Explanation for the Correct Answer
The Oracle Fusion Data Intelligence (FDI) pipeline leverages the Business Intelligence Cloud Connector (BICC) as the core underlying mechanism to extract bulk transactional data and metadata views (known as Pivot View Objects or PVOs) from Oracle Fusion Cloud Applications. BICC is specifically optimized for high-volume SaaS data extraction, natively supporting both full initial loads and scheduled incremental (delta) updates.
Why the Other Options Are Incorrect
A). Oracle GoldenGate Change Data Capture: GoldenGate provides real-time, log-based database replication, but it is not the built-in application-level extraction mechanism utilized by standard Oracle Fusion Data Intelligence pipelines to extract structured data from Oracle Fusion SaaS applications.
B). OCI Data Integration REST Connectors: While OCI Data Integration handles general-purpose cloud ETL and uses various connectors for custom integrations, it is not the native underlying framework built into the automated Oracle Fusion Data Intelligence pipeline.
D). Oracle Enterprise Data Quality Engine: This engine is built for data profiling, cleansing, validation, and matching, rather than serving as the high-volume data extraction framework for pulling operational tables out of cloud applications.
NEW QUESTION # 124
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