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| Section | Objectives |
|---|---|
| Oracle Fusion Data Intelligence Fundamentals | - Oracle Fusion Data Intelligence solution, capabilities, components, and functional architecture - Oracle Fusion Cloud Applications and Oracle Cloud Infrastructure concepts |
| Data Pipeline Configuration and Validation | - Functional areas - Preview and Generally Available features - Detailed and scheduled data-validation processes - Global and reporting parameters - Data validation prerequisites |
| Security Configuration | - Object security - Security automation - Data-security assignments - Users and groups |
| Implementation Prerequisites and Instance Creation | - Ordering and activation requirements - FDI instance provisioning and configuration - Private endpoint deployment considerations - Single Sign-On activation and Fusion Applications prerequisites - Oracle Cloud Infrastructure prerequisites and identity considerations |
| Customization, Extensibility, Administration, and Maintenance | - AI and AIDP capabilities - Incremental uploads and instance lifecycle activities - Upgrades and releases - Data Augmentation and External Applications - User experience customization - Bundles for backup and restore - Security framework customization - Semantic model extensions - Test-to-production migration and bulk deployment |
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NEW QUESTION # 125
Which statement is true regarding the architecture and content delivery model of Oracle Fusion Data Intelligence solutions?
Answer: A
Explanation:
A). Oracle fully manages platform deployment, performance tuning, and updates, while delivering prebuilt analytics data models, key metrics, and workbook dashboards.
Explanation for the Correct Answer
Oracle Fusion Data Intelligence is a fully managed cloud service where Oracle handles all aspects of infrastructure deployment, platform updates, and performance tuning. It delivers comprehensive out-of-the- box value by providing prebuilt data models, industry-standard key performance indicators (KPIs), and interactive workbook dashboards tied directly to Oracle Fusion Cloud Applications.
Why the Other Options Are Incorrect
B). Oracle Fusion Data Intelligence requires customers to independently construct data pipelines and star- schema physical models before deploying prebuilt dashboards: The core benefit of the platform is that it removes the heavy lifting of custom data warehouse engineering; Oracle provides prebuilt data pipelines and star-schemas out of the box.
C). Prebuilt key performance indicators, cards, and decks remain active as a standalone user interface separate from the unified Oracle Analytics Cloud environment: These elements are natively integrated into the unified Oracle Analytics Cloud environment rather than operating as a completely separate standalone interface.
D). Oracle Fusion Data Intelligence operates solely as an on-premises analytics application that connects to cloud applications through periodic file transfers: It is a cloud-native architecture natively connected via automated cloud data pipelines, not an on-premises tool relying on manual file transfers.
NEW QUESTION # 126
Which mechanism would you use if you need to move security or financial category data into the FDI data warehouse using a file, rather than through the standard automated data pipeline?
Answer: A
Explanation:
Explanation of the Correct Answer
Uploads (Upload Center) (C): This console feature allows administrators to download template files, populate data offline via CSV files, and upload security assignments, financial categories, and financial category assignments directly into the FDI data warehouse, bypassing the standard automated data pipeline when manual interventions or custom mappings are required.
Explanation of the Incorrect Answers
Data Augmentation Wizard (A): This tool is used to enrich existing data models by adding custom columns, dimensions, or dataset transformations rather than managing flat-file administrative data uploads.
Bundle Repository (B): This repository is designed for migrating, exporting, and importing deployment packages, semantic model archives, and environment snapshots between different instances.
Semantic Model Extension (D): This framework is used to customize metadata schemas, define custom logical stars, and modify the business model layer rather than functioning as a file intake hub for security or financial categories
NEW QUESTION # 127
A security architect is establishing automated security controls for a newly deployed public Oracle Fusion Data Intelligence environment. The organization requires strict automated boundary protection against unauthorized IP addresses and automated scanning of all incoming user files uploaded to the platform.
Which TWO statements correctly describe how security automation features must be implemented in this scenario?
Answer: B,C
Explanation:
Statement B: The Virus Scanner feature integrated into the FDI Console is specifically designed to perform automated inspections on all files uploaded by users-such as CSVs, security templates, or data augmentation spreadsheets-to ensure they are free of malicious content before the system processes them.
Statement D: For public Oracle Fusion Data Intelligence instances, the Access Control List (ACL) configuration is governed by specific capacity limits: administrators are permitted to add up to 19 custom rows of access control rules, in addition to the one default rule that is pre-configured by the system.
Why the Incorrect Statements are Wrong
Statement A: Configuring an Access Control List on a public instance implements network-level IP restrictions (whitelisting/blacklisting), but it does not change the architecture or convert the instance's deployment type into a private endpoint.
Statement C: The Virus Scanner is designed to scan inbound user-uploaded files (like data augmentation or security templates). It is not restricted to internal data pipeline extraction files generated by Oracle Fusion Cloud Applications.
Statement E: Configuring an Access Control List at the FDI level does not prevent administrators from defining separate, tailored network access rules for the associated Oracle Analytics Cloud instances; the platform allows for both inherited FDI-level rules and service-specific overrides.
NEW QUESTION # 128
You have completed a direct promotion of modified User Extensions and custom subject area joins from your non-production environment to Production using the Promote Objects console task.
What is the published status of these semantic model customizations in the Production environment upon completion?
Answer: B
Explanation:
Why Option A is Correct
When an administrator uses the Promote Objects console task to migrate semantic model extensions, user modifications, and custom joins from a non-production environment to Production, the platform automatically applies and publishes these changes directly to the target environment's live semantic model. Once the promotion task completes successfully, the changes become active in Production, and because Production is a locked target for direct edits, administrators cannot make further direct modifications to the semantic model there.
Why the Other Options Are Incorrect
B). The promoted customizations are stored as uncommitted draft steps in Production requiring manual publishing in Semantic Model Extensions: Promoted objects do not land as draft or uncommitted branch steps in Production requiring a separate manual publish action; the promotion workflow executes the deployment directly.
C). The promoted customizations are held in staging until the next scheduled quarterly release update completes: Object promotions occur on-demand via the administrative console and are not gated or held back until a quarterly release upgrade cycle runs.
D). The promoted customizations overwrite only the physical layer while leaving presentation subject areas hidden: Promotion encompasses all selected layers (physical, logical, and presentation), ensuring custom subject area joins and user extensions are fully integrated across all tiers rather than hiding presentation components.
NEW QUESTION # 129
Which mapper controls which Descriptive Flexfields are loaded into FDI?
Answer: D
Explanation:
The DFF Mapper (Descriptive Flexfield Mapper) is the dedicated administration tool and user interface within Oracle Fusion Data Intelligence (FDI) used by administrators to select, map, and control which BI-enabled Descriptive Flexfields from source Oracle Fusion Cloud Applications are extracted and loaded into the FDI data model.
Why the Other Options Are Incorrect
A). Security Configuration: This area governs application roles, data security filters, and user permission mappings rather than controlling the selection and extraction of flexfield attributes.
B). PVO Extension: While View Objects (PVOs) are the underlying data structures used for extraction in Oracle BI Cloud Connector, the specific application-level UI utility designed for managing and mapping descriptive flexfields into FDI is the DFF Mapper.
D). Data Augmentation Template: Data augmentation templates are used for extending data models with custom entities or additional derived attributes, but they do not serve as the specific tool for mapping standard or flexfield attributes.
NEW QUESTION # 130
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