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| Section | Objectives |
|---|---|
| Oracle Fusion Data Intelligence Fundamentals | - Oracle Fusion Cloud Applications and Oracle Cloud Infrastructure concepts - Oracle Fusion Data Intelligence solution, capabilities, components, and functional architecture |
| Implementation Prerequisites and Instance Creation | - FDI instance provisioning and configuration - Single Sign-On activation and Fusion Applications prerequisites - Private endpoint deployment considerations - Oracle Cloud Infrastructure prerequisites and identity considerations - Ordering and activation requirements |
| Security Configuration | - Security automation - Data-security assignments - Users and groups - Object security |
| Customization, Extensibility, Administration, and Maintenance | - Data Augmentation and External Applications - Test-to-production migration and bulk deployment - Incremental uploads and instance lifecycle activities - Security framework customization - Bundles for backup and restore - User experience customization - AI and AIDP capabilities - Upgrades and releases - Semantic model extensions |
| Data Pipeline Configuration and Validation | - Global and reporting parameters - Detailed and scheduled data-validation processes - Preview and Generally Available features - Data validation prerequisites - Functional areas |
1z0-1128-26学習ガイドの資料は、常に卓越性と同義語です。 1z0-1128-26実践ガイドは、さまざまな資格試験に合格するかどうかに関係なく、ユーザーが簡単に目標を達成するのに役立ちます。当社の製品は、必要な学習教材を提供します。もちろん、1z0-1128-26の実際の質問は、ユーザーに試験に関する貴重な経験だけでなく、試験に関する最新情報も提供します。 1z0-1128-26の実用的な教材は、他の教材よりも高い歩留まりをもたらす学習ツールです。決心したら、私たちを選んでください！
質問 # 130
For how many days does the Autonomous Data Warehouse associated with FDI retain automated daily backups?
正解：B
解説：
60 days (C): The Autonomous Data Warehouse instance utilized by Oracle Fusion Data Intelligence (FDI) automatically executes and retains daily backups for a default window of 60 days, enabling point-in-time recovery within this timeframe.
Explanation of the Incorrect Answers
30 days (A): This is shorter than the standard retention window managed natively by the cloud service for automated daily backups.
45 days (B): This duration does not align with the standard 60-day automated backup policy framework for the underlying autonomous data instance.
90 days (D): While long-term backup retention policies can be customized for extended archival needs in standard OCI environments, the default automated daily rolling backup retention is configured for 60 days.
質問 # 131
Your organization is planning to test new data pipeline features and connectors in a non-production Oracle Fusion Data Intelligence instance. The lead implementer needs to understand how Preview features are governed, configured, and managed within the FDI Console before granting access to project teams. Which TWO statements correctly describe the management and behavior of Preview features in Oracle Fusion Data Intelligence?
正解：B、D
解説：
Statement A: In Oracle Fusion Data Intelligence (FDI), all preview and opt-in features are disabled by default upon release. A functional administrator must explicitly navigate to the Enable Features console page and toggle them on.
Statement C: Preview features represent early-access or experimental capabilities that administrators can selectively turn on or off individually as needed for testing and evaluation purposes within non-production environments.
Why the Incorrect Statements are Wrong
Statement B: Enabling a preview feature is a metadata-level and application configuration toggle within the console UI; it does not require re-provisioning or disrupting the underlying Autonomous Data Warehouse instance.
Statement D: Preview features are additive or experimental capabilities; they never automatically overwrite or replace existing Generally Available pipeline configurations or active operational settings.
Statement E: Preview features are managed through the Enable Features tile under Application Administration, not through the System Settings tile under Service Administration.
質問 # 132
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?
正解：B
質問 # 133
You have enabled the Fusion Augmentations feature under Generally Available Features to extract raw public view object (PVO) data at a higher frequency without congesting the main pipeline.
Which limitation applies when using the Fusion Augmentations data source on the Data Configuration page?
正解：D
解説：
A). You cannot activate functional areas using the Fusion Augmentations data source: According to Oracle Fusion Data Intelligence documentation, the Fusion Augmentations data source is dedicated entirely to managing raw public view object (PVO) data augmentations. Because this source operates independently to keep the main pipeline uncongested, you cannot use it to activate or configure standard prebuilt application functional areas (such as core ERP, HCM, or SCM modules).
Why the Incorrect Answers are Wrong
B). You cannot perform frequent data refreshes on tables created by the Fusion Augmentations source: On the contrary, this feature is explicitly designed to support and accelerate high-frequency data refreshes for custom warehouse tables without resource contention.
C). You must deploy a private endpoint before creating data augmentations in the Fusion Augmentations source: Private endpoint deployment is a general network connectivity configuration and is not a unique prerequisite specifically mandated for using the Fusion Augmentations source.
D). You must re-extract all historical data across all functional areas every time a Fusion Augmentations job runs: Fusion Augmentations do not require a full historical re-extraction across all unrelated functional areas every time they run.
質問 # 134
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?
正解：D、E
解説：
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.
質問 # 135
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