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| Section | Objectives |
|---|---|
| Requirements Management | - Requirements Gathering - Requirements Analysis and Prioritization - Implementation and Change Considerations |
| Oracle Fusion Cloud Applications | - Integration with Fusion Data Intelligence - Fusion Cloud Applications Overview - Application Data and Business Processes |
| Functional Consultancy | - Business Requirements Analysis - Configuration and Validation - Implementation Decisions - Troubleshooting and Verification |
| Oracle Fusion Data Intelligence | - Validation and Troubleshooting - Instance Provisioning and Configuration - Analytics and Reporting - Solution Overview and Architecture - Data Augmentation - Security and Access Management - Semantic Model Extensions and Customization - Bundles, Backup and Restoration - Data Pipelines and Data Loading - Administration and Configuration |
| Oracle Cloud Infrastructure | - OCI Concepts Relevant to Fusion Data Intelligence - Security and Access - Cloud Infrastructure Configuration |
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NEW QUESTION # 14
An organization completed the initial pipeline extraction for ERP Analytics six months ago using an Initial Extract Date set to January 1, 2020.
The implementer now attempts to edit the Initial Extract Date global parameter to January 1, 2015, to pull five additional years of historical data. What should the implementer expect?
Answer: C
Explanation:
Why the Correct Answer is Right
D). Locked Parameter and Reset Requirement: In Oracle Fusion Data Intelligence (FDI), once the initial data pipeline execution has run successfully, critical baseline settings like the Initial Extract Date become locked to prevent data corruption, orphan records, and timeline discrepancies in the Autonomous Data Warehouse. To expand the historical extraction boundary further back (e.g., from 2020 to 2015), the implementer must perform a data pipeline reset or re-initialization rather than simply editing the active parameter.
Why the Incorrect Answers are Wrong
A). The global parameter can be updated directly and will automatically trigger an incremental extract for the newly requested date range: Incremental extracts only capture changes made forward in time from the current high-water mark; they cannot automatically pull back historical gaps for years prior to the established initial boundary without a full reset.
B). The global parameter updates immediately but only applies to newly activated functional areas without affecting ERP Analytics: Global parameters govern the core extraction logic across the environment, and historical boundaries cannot be bypassed or treated as functional-area-specific subsets in this manner.
C). The global parameter is automatically overwritten by the latest transaction timestamp in Oracle Fusion Cloud Applications: The system does not automatically overwrite administrative configuration parameters based on source system timestamps; these boundaries are explicitly controlled by administrator inputs.
NEW QUESTION # 15
Which preview feature predicts how long a data refresh will take to complete?
Answer: D
Explanation:
B Explanation: Documentation states: "This feature enables prediction of completion time for a data refresh.
You can see the predicted time under Data Pipeline in the Pipeline Parameters section on the Pipeline Settings page." Frequent Data Refresh (A) changes refresh cadence rather than predicting duration, Reset and Reload (C) discards and refetches all data, and Bulk Data Augmentation (D) batches non-Fusion extraction jobs - none of these forecast refresh time. Reference: Administering Oracle Fusion Data Intelligence - "About Data Refresh Performance
NEW QUESTION # 16
Which database structure holds FDI's prebuilt data model?
Answer: D
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 # 17
Which authentication method is officially recommended by Oracle when configuring source application details during the creation of an Oracle Fusion Data Intelligence instance?
Answer: C
Explanation:
B). JWT Based token authentication using a trusted issuer (Correct)
Why it is Correct: Oracle explicitly recommends JWT Based (JSON Web Token) authentication when configuring source Fusion Cloud Applications details during Oracle Fusion Data Intelligence (FDI) instance creation. JWT authentication provides a secure, token-based mechanism utilizing an RSA key pair and a trusted issuer (FAWServiceJWTIssuer), eliminating the risks associated with storing and transmitting static user passwords for automated pipeline extractions.
A). Password Based authentication using basic HTTP auth headers (Incorrect) Why it is Wrong: While password-based authentication is supported as an alternative option, it relies on static service account credentials and is not the officially recommended best practice by Oracle.
C). SAML 2.0 Web Browser SSO profile authentication (Incorrect)
Why it is Wrong: SAML 2.0 Web Browser SSO profile is used for federating end-user logins via interactive browser sessions, not for non-interactive server-to-server data pipeline extraction calls.
D). Kerberos Ticket Granting Service token authentication (Incorrect)
Why it is Wrong: Kerberos is an on-premises network authentication protocol and is not used for authentication between Oracle Cloud SaaS and PaaS instances.
NEW QUESTION # 18
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 # 19
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