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| Section | Objectives |
|---|---|
| Oracle Fusion Cloud Applications | - Integration with Fusion Data Intelligence - Fusion Cloud Applications Overview - Application Data and Business Processes |
| Oracle Cloud Infrastructure | - Cloud Infrastructure Configuration - Security and Access - OCI Concepts Relevant to Fusion Data Intelligence |
| Oracle Fusion Data Intelligence | - Bundles, Backup and Restoration - Analytics and Reporting - Administration and Configuration - Instance Provisioning and Configuration - Data Pipelines and Data Loading - Data Augmentation - Semantic Model Extensions and Customization - Solution Overview and Architecture - Security and Access Management - Validation and Troubleshooting |
| Requirements Management | - Requirements Analysis and Prioritization - Implementation and Change Considerations - Requirements Gathering |
| Functional Consultancy | - Business Requirements Analysis - Configuration and Validation - Troubleshooting and Verification - Implementation Decisions |
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NEW QUESTION # 127
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 # 128
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: C,E
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 # 129
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?
Answer: A
Explanation:
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.
NEW QUESTION # 130
Which OCI service protects an FDI-associated Autonomous Data Warehouse with auditing and alerting?
Answer: D
Explanation:
Explanation of the Correct Answer
Oracle Data Safe is an Oracle Cloud Infrastructure (OCI) security service designed to protect Oracle Databases, including the underlying Autonomous Data Warehouse (or Autonomous AI Lakehouse) associated with Oracle Fusion Data Intelligence. It provides built-in capabilities for security assessments, user assessments, data discovery, data masking, and activity auditing and alerting to monitor database activity and enforce data security standards.
Why the Other Options Are Incorrect
B） Vanity URL: A vanity URL is a customized, user-friendly domain name or web address used to access an application endpoint rather than a security, auditing, or compliance service for databases.
C） Bundle Repository: A bundle repository manages application metadata artifacts and customized extension packages during lifecycle deployments between environments, rather than performing database monitoring or security auditing.
D）Search Index: A search index optimizes text queries and information retrieval across catalog objects or documents, lacking any database security, threat detection, or audit alerting features.
NEW QUESTION # 131
A security administrator is setting up data-level security for global financial analysts who need row-level access restricted by Ledger and Business Unit across multiple functional areas. The organization wants to leverage automated capabilities for ingesting user access rights from Fusion Applications while establishing custom logical security rules in the semantic model.
Which TWO statements correctly describe how data security functions in Oracle Fusion Data Intelligence?
Answer: A,C
Explanation:
C). Data security context assignments can be synchronized automatically from Oracle Fusion Cloud Applications into Oracle Fusion Data Intelligence.
D). Data security context filters configured across different functional groups in Configure Data Security are combined using the AND logical operator.
Detailed Explanations
Why the Correct Statements are Right
Statement C: Oracle Fusion Data Intelligence supports automated data security synchronization pipelines.
This allows organizations to automatically pull user data access assignments (such as Business Units and Ledgers) directly from source Oracle Fusion Cloud Applications without relying exclusively on manual CSV file uploads.
Statement D: When configuring multiple filters within Configure Data Security, the system evaluates different functional groups using logical conjunction. Specifically, all sets of filters established across different functional groups are combined using the AND operator to ensure strict multi-criteria compliance.
Why the Incorrect Statements are Wrong
Statement A: Data security rules configured via Configure Data Security rely on data-type application roles, whereas metadata object permissions rely on duty-type application roles.
Statement B: Filters defined within the same functional group are actually combined using the OR operator (not the AND operator), allowing users to match any of the criteria included in that group.
Statement E: Managing user data access and security assignment files via the Uploads center updates user context mappings; it does not overwrite, delete, or impact the custom semantic model design steps created under Configure Data Security
NEW QUESTION # 132
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