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| Section | Objectives |
|---|---|
| Topic 1: Requirements Management | - Requirements Gathering - Requirements Analysis and Prioritization - Implementation and Change Considerations |
| Topic 2: Functional Consultancy | - Configuration and Validation - Troubleshooting and Verification - Business Requirements Analysis - Implementation Decisions |
| 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 | - Solution Overview and Architecture - Security and Access Management - Instance Provisioning and Configuration - Semantic Model Extensions and Customization - Validation and Troubleshooting - Data Augmentation - Data Pipelines and Data Loading - Bundles, Backup and Restoration - Administration and Configuration - Analytics and Reporting |
| Topic 5: Oracle Cloud Infrastructure | - Security and Access - Cloud Infrastructure Configuration - OCI Concepts Relevant to Fusion Data Intelligence |
>> Oracle 1z0-1128-26 New Questions <<
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NEW QUESTION # 122
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: B
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 # 123
An organization has finalized testing of new custom security data roles and modified subject area joins in their FDI Test environment. The lead administrator is preparing to deploy these verified artifacts into Production while ensuring that operational transactional data is not affected and that release versions are compatible.
Which TWO actions must the administrator perform to execute and verify this customization migration successfully?
Answer: B,C
Explanation:
B). Version Compatibility: Successful migration of semantic models and configuration artifacts requires that both the source (Test) and target (Production) environments are operating on compatible application release versions. Compatibility ensures that metadata definitions and logical object structures are consistent across instances, preventing failures during the import or promotion process.
D). Promotion or Bundle Transfer: To migrate verified security configurations, key metrics, and custom subject area joins, administrators should utilize the Promote Objects feature for direct environment-to- environment transfers or the Bundles feature if direct connectivity is unavailable (e.g., across separate OCI tenancies). These mechanisms are specifically designed to package and deploy semantic model extensions, security roles, and user experience workbooks without disrupting transactional data operations.
Why the Other Options Are Incorrect
A). Re-installing functional area data pipelines: This is not a requirement for migrating semantic customizations. Re-installing pipelines is an unnecessary and destructive process that would interrupt data ingestion and does not relate to transferring model metadata.
C). Resetting the Autonomous Data Warehouse ADMIN database password: Password management and schema refreshes are separate operational tasks. Resetting the database administrator password does not initiate a schema refresh or assist in the deployment of semantic customizations.
E). Enabling the Virus Scanner task: The platform manages security and maintenance tasks internally. Users cannot influence semantic model deployment through manual virus scanning configurations, and this is not a valid step in the customization migration workflow.
NEW QUESTION # 124
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?
Answer: A
NEW QUESTION # 125
Which database structure holds FDI's prebuilt data model?
Answer: C
Explanation:
Oracle Fusion Data Intelligence (FDI) structures its prebuilt data model within an immutable star schema implemented on the underlying Oracle Autonomous Data Warehouse. The core out-of-the-box fact and dimension tables are preconfigured and locked by Oracle to preserve data integrity and ensure smooth application lifecycle updates, while still allowing users to append custom data models through extension interfaces.
Why the Other Options Are Incorrect
A). Relational third-normal-form schema: Third-normal-form schemas are typically deployed in operational transactional systems (OLTP) to reduce data redundancy, whereas enterprise analytics platforms rely on dimensional star schemas optimized for aggregation speed and reporting performance.
B). Document store: Document stores are NoSQL repositories designed for semi-structured data like JSON documents, which contrasts sharply with the structured relational dimensional layout used by FDI.
D). Graph database: Graph databases specialize in managing complex network relationships and connected data nodes rather than the multi-dimensional fact and dimension aggregations required for business intelligence workloads.
NEW QUESTION # 126
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 # 127
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