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| Section | Objectives |
|---|---|
| Requirements Management | - Requirements Analysis and Prioritization - Requirements Gathering - Implementation and Change Considerations |
| Functional Consultancy | - Implementation Decisions - Troubleshooting and Verification - Configuration and Validation - Business Requirements Analysis |
| Oracle Fusion Data Intelligence | - Administration and Configuration - Validation and Troubleshooting - Data Augmentation - Semantic Model Extensions and Customization - Security and Access Management - Data Pipelines and Data Loading - Instance Provisioning and Configuration - Analytics and Reporting - Solution Overview and Architecture - Bundles, Backup and Restoration |
| Oracle Fusion Cloud Applications | - Integration with Fusion Data Intelligence - Fusion Cloud Applications Overview - Application Data and Business Processes |
| Oracle Cloud Infrastructure | - OCI Concepts Relevant to Fusion Data Intelligence - Security and Access - Cloud Infrastructure Configuration |
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NEW QUESTION # 24
Which component is intentionally bypassed from running during intraday Frequent Data Refresh runs to optimize processing speed?
Answer: B
Explanation:
B). Semantic model update job: According to Oracle Fusion Data Intelligence (FDI) technical documentation regarding Frequent Data Refresh execution architecture, the semantic model is not updated during intraday frequent data refresh runs. Jobs that update or re-deploy the semantic model are intentionally bypassed during these cycles to minimize processing overhead and drastically accelerate the ingestion of transactional base tables.
Why the Incorrect Answers are Wrong
A). Primary extract job: Extracting raw transactional data from the source is the primary mechanism of the frequent data refresh, so it is actively executed rather than bypassed.
C). Autonomous Data Warehouse table ingestion: Loading and updating records directly into the Autonomous Data Warehouse / AI Lakehouse target tables is essential for making the latest transactional rows available.
D). Incremental delta staging table load: Frequent data refreshes process delta or incremental changes, requiring staging and processing of the latest transactional delta records.
NEW QUESTION # 25
Which Console area would you check if you need to see the available data-model and content patches for your FDI application and their auto-update target dates?
Answer: B
Explanation:
Release Updates (B): This Console area provides visibility into scheduled content patches, data-model updates, and feature rollouts for your Fusion Data Intelligence (FDI) application, including their associated auto-update target dates.
Explanation of the Incorrect Answers
Data Configuration (A): This area manages functional area setups, data pipelines, and extraction parameters rather than release schedules and patch deployment timelines.
Bundle Repository (C): This section handles the import and export of custom content migration packages, semantic model archives, and backup snapshots.
Enable Features (D): This toggle menu is used to activate early-access, preview, or newly available features within the environment rather than reviewing update patches and timelines.
NEW QUESTION # 26
Which capability does an integrated FDI instance gain by attaching to its source Fusion Cloud Applications environment, compared to a standalone instance?
Answer: A
Explanation:
B Explanation: Documentation states that creating an FDI instance integrated with Fusion Cloud Applications
"prefills Fusion Cloud application-specific data on the Create Instance page in FDI," in addition to attaching the instance and sharing users, groups, and roles. Data Safe enrollment (A) is a separate, manually enabled feature, ECPU scaling limits (C) still apply regardless of integration type, and VCN prerequisites (D) still apply to private-endpoint deployments regardless of whether the instance is integrated. Reference: "Set up an Integrated Fusion Data Intelligence instance for use with a Fusion Application" (blogs.oracle.com/analytics)
NEW QUESTION # 27
You are setting up the dedicated data extraction user account in Oracle Fusion Cloud Applications for integration with Oracle Fusion Data Intelligence.
Which abstract role must be assigned to this user in Fusion Security Console to grant access to functional settings and enterprise setups required for extraction?
Answer: B
Explanation:
A). ASM_FUNCTIONAL_SETTING_USER_ABSTRACT (Correct)
Why it is Correct: In Oracle Fusion Cloud Applications, functional settings, setup offerings, and underlying enterprise datastores are managed via Application Setup Manager (ASM). Assigning the Functional Setting User abstract role (ASM_FUNCTIONAL_SETTING_USER_ABSTRACT / ORA_ASM_APPLICATION_IMPLEMENTATION_ADMIN_ABSTRACT) grants the dedicated data extraction user account the required access to read global setup data, enterprise structures, and functional metadata necessary for extracting data into Oracle Fusion Data Intelligence.
B). ORA_ASM_SYSTEM_ADMINISTRATOR_ABSTRACT (Incorrect)
Why it is Wrong: This is not a standard functional abstract role assigned to FDI data extraction accounts for reading setup data structures.
C). FND_INTEGRATION_MANAGER_JOB_ABSTRACT (Incorrect)
Why it is Wrong: Integration roles handle web service execution and standard middleware connections, but they do not provide the specific ASM functional setup privileges required to query enterprise data structures during pipeline extraction.
D). PER_HUMAN_CAPITAL_ADMIN_JOB_ABSTRACT (Incorrect)
Why it is Wrong: This abstract role is specific to HCM domain administration (Human Resources management) and does not provide the cross-functional Application Setup Manager (ASM) privileges required for FDI global data extractions across all modules (ERP, SCM, CX, HCM).
NEW QUESTION # 28
An implementation team is deploying Oracle Fusion Data Intelligence across Financials, Projects, and Procurement. The team needs to schedule initial data loads for Financials first, add Procurement at a later date, and establish a plan for handling corrupted staging data if a pipeline error occurs in Projects.
Which TWO statements correctly describe how functional areas must be managed in this scenario?
Answer: B,E
Explanation:
B). Adding Procurement to the activation plan after Financials is active triggers an initial extract for Procurement without impacting Financials.
D). Resetting the Projects functional area clears its warehouse data and requires a new initial load without resetting Financials or Procurement.
Detailed Explanations
Why the Correct Statements are Right
Statement B: Oracle Fusion Data Intelligence (FDI) supports modular activation, allowing administrators to add new functional areas (like Procurement) to an existing deployment at any time. When activated, the system performs an initial data extraction for that specific module, which operates independently and does not impact the stability or historical data of already active areas like Financials.
Statement D: The Reset action is scoped strictly to the functional area being managed. If a pipeline error occurs in Projects, an administrator can trigger a Reset for that specific area to clear its corrupted warehouse data and force a clean reload, leaving Financials and Procurement completely unaffected.
Why the Incorrect Statements are Wrong
Statement A: FDI is designed for incremental deployment; functional areas do not need to be activated simultaneously and can be enabled as project requirements evolve.
Statement C: Activating a new functional area does not alter or reset global environment settings (such as the Global Parameters or historical extract dates) established at the instance level.
Statement E: Resetting a functional area only affects the data warehouse tables and metadata associated with that module's pipeline; it has no impact on external security components like OCI Identity Domains, user accounts, or application role mappings.
NEW QUESTION # 29
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