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| Section | Objectives |
|---|---|
| Topic 1: Functional Consultancy | - Business Requirements Analysis - Implementation Decisions - Troubleshooting and Verification - Configuration and Validation |
| Topic 2: Requirements Management | - Requirements Gathering - Implementation and Change Considerations - Requirements Analysis and Prioritization |
| Topic 3: Oracle Cloud Infrastructure | - Cloud Infrastructure Configuration - Security and Access - OCI Concepts Relevant to Fusion Data Intelligence |
| Topic 4: Oracle Fusion Data Intelligence | - Data Augmentation - Solution Overview and Architecture - Data Pipelines and Data Loading - Instance Provisioning and Configuration - Validation and Troubleshooting - Administration and Configuration - Bundles, Backup and Restoration - Semantic Model Extensions and Customization - Security and Access Management - Analytics and Reporting |
| Topic 5: Oracle Fusion Cloud Applications | - Fusion Cloud Applications Overview - Integration with Fusion Data Intelligence - Application Data and Business Processes |
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NEW QUESTION # 63
You are defining custom database objects in the Autonomous AI Lakehouse associated with your Oracle Fusion Data Intelligence instance to support a custom dataset data augmentation.
What is the standard suffix required for a Data Augmentation Dataset object to adhere to Oracle's database naming standards?
Answer: A
Explanation:
B). _DS: According to Oracle Fusion Data Intelligence database naming standards for the Autonomous Data Warehouse / AI Lakehouse, custom database objects and datasets must follow strict suffix guidelines.
Specifically, _DS is the required standard suffix designated for Data Augmentation Dataset objects (whereas
_EXT is used for Data Augmentation Extensions, _MD for Mini Dimensions, and _F for Facts).
Why the Incorrect Answers are Wrong
A). _EXT: This suffix designates a Data Augmentation Extension rather than a dataset object.
C). _MD: This suffix is reserved for Mini Dimensions in custom star schemas.
D). _F: This suffix is standard for Fact tables rather than data augmentation datasets.
NEW QUESTION # 64
Which security feature would you use if you want security-assignment changes maintained in an external cost- center hierarchy to propagate into FDI automatically, without relying on manual Upload Center file uploads?
Answer: A
Explanation:
Auto Sync Security (D): This feature enables the automated propagation of user-to-security assignments into FDI without requiring manual file uploads via the Upload Center. By leveraging custom synchronization interfaces or tracking tables (such as automated mapping sync routines), it ensures that changes maintained in external cost-center hierarchies flow into the platform dynamically.
Explanation of the Incorrect Answers
Security Exclusion Rules (A): These rules are used to explicitly exclude certain data values or records from being visible to specific roles or users, rather than handling the automated synchronization of user-to- hierarchy assignments.
Configurable Security Context (B): While this framework defines the structure and rules for data access controls (such as mapping cost and balancing segments), it requires assignment mechanisms like the Upload Center or automated sync processes to populate user mappings.
Data Security Policy Template (C): This is used to govern baseline functional or data permissions within applications rather than serving as the automated synchronization mechanism for external hierarchy changes.
NEW QUESTION # 65
An administrator is setting up data validation using basic credentials for a dedicated validation user named MyFAWValidationUser in an environment where OAuth authentication is not configured. On which Console tab under Application Administration must these user credentials be entered and maintained?
Answer: D
Explanation:
D). Source Credentials: In Oracle Fusion Data Intelligence (FDI), when basic authentication is used for data validation (as opposed to OAuth), the administrative credentials for the designated validation user must be configured and maintained specifically on the Source Credentials tab under the Data Validation section in the Console.
Why the Incorrect Answers are Wrong
A). Pipeline Parameters: This tab is used to define functional parameters (such as ledger sets or currency settings) for the data extraction pipelines, not for managing validation user credentials.
B). Object Permissions: This section governs access control for specific semantic objects, reports, and workbooks in the Oracle Analytics Cloud catalog, not source system authentication credentials.
C). System Settings: This is a general administrative area used for instance-level configurations and properties, rather than functional-area source system credentials.
NEW QUESTION # 66
Which database technology serves as the core physical data foundation and storage engine for Oracle Fusion Data Intelligence?
Answer: B
Explanation:
B). Oracle Autonomous Data Warehouse
Explanation for the Correct Answer
Oracle Fusion Data Intelligence (FDI)-formerly known as Oracle Fusion Analytics Warehouse-is built upon Oracle Autonomous Data Warehouse (ADW) as its core data foundation and storage engine. When data pipelines extract and transform information from Oracle Fusion Cloud Applications, they load those conformed datasets directly into ADW to support prebuilt enterprise dashboards, KPIs, and machine learning models.
Why the Other Options Are Incorrect
A). Oracle Autonomous Database Dedicated: While FDI utilizes the Autonomous Database architecture,
"Dedicated" specifies an infrastructure deployment model (where a tenant isolates workloads on dedicated Exadata infrastructure) rather than the specific cloud data warehouse component designated for storing the application's transformed analytics data.
C). Oracle Analytics Cloud Repository: The Oracle Analytics Cloud (OAC) Repository serves as the metadata and semantic layer (defining business logic, hierarchies, and presentation catalogs), but it is a metadata definition file/container, not the physical database storage layer that houses the actual mass-transformed analytics data.
D). Oracle Transactional Business Intelligence: OTBI is a built-in reporting solution that allows users to run operational reports directly against the transactional database schemas of Oracle Fusion Cloud Applications in near-real-time, rather than functioning as an underlying cloud data warehouse component for an analytics intelligence platform.
NEW QUESTION # 67
A service administrator wants to schedule an automated monthly full data reload for the General Ledger functional area while maintaining standard daily incremental extractions.
Which feature must be enabled under Pipeline Features in Generally Available Features to expose this capability on the Pipeline Settings page?
Answer: A
Explanation:
D). Scheduled Full Data Reload: According to Oracle Fusion Data Intelligence documentation, the Scheduled Full Data Reload feature must be enabled under Pipeline Features in Generally Available Features to expose the warehouse full reload scheduling capabilities on the Pipeline Settings page. This enables administrators to schedule periodic full reloads for select functional areas (such as General Ledger) on a weekly, monthly, or quarterly basis while maintaining standard daily incremental extractions.
Why the Incorrect Answers are Wrong
A). Frequent Refresh: This feature is used to enable high-frequency data refresh intervals (such as every 4 hours or more frequently) rather than full data reloads.
B). Reset and Reload the Data Source: This feature enables a complete, one-off reset and reload of the entire data source (often used after a Production-to-Test refresh) rather than automated periodic full reloads of specific functional areas.
C). Override Data Pipeline Schedules: This feature is used to modify or override default functional area execution schedules rather than enabling full reload capabilities.
NEW QUESTION # 68
......
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