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| Section | Objectives |
|---|---|
| Requirements Management | - Implementation and Change Considerations - Requirements Gathering - Requirements Analysis and Prioritization |
| Oracle Cloud Infrastructure | - Security and Access - OCI Concepts Relevant to Fusion Data Intelligence - Cloud Infrastructure Configuration |
| Functional Consultancy | - Business Requirements Analysis - Configuration and Validation - Implementation Decisions - Troubleshooting and Verification |
| Oracle Fusion Cloud Applications | - Fusion Cloud Applications Overview - Application Data and Business Processes - Integration with Fusion Data Intelligence |
| Oracle Fusion Data Intelligence | - Validation and Troubleshooting - Security and Access Management - Data Pipelines and Data Loading - Instance Provisioning and Configuration - Data Augmentation - Solution Overview and Architecture - Analytics and Reporting - Semantic Model Extensions and Customization - Bundles, Backup and Restoration - Administration and Configuration |
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NEW QUESTION # 119
Which of the following statements is true regarding bulk data file management using the Uploads center in Oracle Fusion Data Intelligence?
Answer: D
Explanation:
Why Option C is Correct
When managing data through the Uploads center in Oracle Fusion Data Intelligence (FDI), administrators have the capability to download two distinct file types for reference and editing:
Sample Files: Provide a CSV template with predefined, pre-populated column headers designed to familiarize users with expected data structures.
Current Files: Provide a snapshot containing active system configurations or assignments currently deployed in the environment, which can be modified for updates or migrations.
Why the Other Options Are Incorrect
A). Uploading a CSV file requires administrators to modify column header names to match the exact schema column names of the underlying data warehouse: Modifying or changing the pre-existing header names in downloaded FDI upload templates will cause processing errors. Administrators are explicitly instructed not to change any header names.
B). Bulk uploads of security assignments and financial categories can be submitted using either XML or JSON formatted files: FDI only supports comma-separated values (.csv) for data upload and download operations in the Uploads center; XML and JSON formats are not accepted for these templates.
D). Uploading a Financial Category Assignments file automatically creates missing chart of accounts segment values in Oracle Fusion Cloud Applications: Uploaded mapping files only map and configure categorization metadata within the analytics layer; they cannot dynamically create or write new foundational chart of accounts setup records back into source Oracle Fusion Cloud Applications.
NEW QUESTION # 120
You need to perform a complete data reset and reload across all activated functional areas, data augmentations, and custom data configurations due to corrupted staging data from a source migration.
Which action should you perform on the Pipeline Settings page after enabling the feature under Generally Available Features?
Answer: A
Explanation:
C). Click Actions and select Reset & Reload: After enabling the required data reload/reset feature under Generally Available Features in the Oracle Fusion Data Intelligence Console, you navigate to the Pipeline Settings page, click on the Actions menu, and select Reset & Reload. This triggers a full, comprehensive reset and reload of all activated functional areas, custom tables, data augmentations, and data configurations to clear corrupted staging data and rebuild the data warehouse from scratch.
Why the Incorrect Answers are Wrong
A). Click Data Validation and select Reset Data Warehouse: The data validation menu is used for troubleshooting data discrepancies and inspecting pipeline health, not for triggering a warehouse reset.
B). Click Pipeline Parameters and select Purge Incremental Logs: Purging incremental logs only clears transactional log records and does not perform a complete schema reset or data source reload.
D). Click Frequent Data Refresh Schedule and select Full Cache Reset: This is a distractor; frequent data refreshes handle intraday incremental updates rather than full architectural data reloads and schema resets.
NEW QUESTION # 121
Which access control feature, when enabled in Fusion Cloud Applications, requires extraction and validation roles to be public?
Answer: B
Explanation:
When Location Based Access Control (LBAC) is enabled in an Oracle Fusion Cloud Applications source instance, access to applications and tasks is strictly filtered based on registered IP addresses and network locations. Because data extraction and validation pipelines run automated integration services that may originate outside typical user network perimeters, Oracle requires that the specific roles assigned to users performing data extraction and validation must be explicitly designated as public (accessible from all IP locations) to ensure pipelines can execute successfully without being blocked by network-level access restrictions.
Why the Other Options Are Incorrect
A). Configurable Security Context: This mechanism manages dynamic data and context parameters during transactional processing rather than controlling network-based IP restrictions that mandate public role configurations.
B). Row-Level Security: Row-level security restricts data visibility at the table row level based on criteria such as business unit or department assignments, rather than governing network accessibility or role-to-IP permissions.
C). Auto Sync Security: Auto sync security handles the automated synchronization of user accounts, groups, and roles between source applications and FDI, rather than handling network or location-based access rules.
NEW QUESTION # 122
You are preparing to configure data validation between Oracle Fusion Data Intelligence and an Oracle Fusion Cloud Applications instance that has Location Based Access Control (LBAC) enabled. What role prerequisite must be met for the user accounts responsible for extracting and validating the data?
Answer: B
Explanation:
A). Public Role Designation: According to official Oracle Fusion Data Intelligence documentation, if Location Based Access Control (LBAC) is enabled in the source Oracle Fusion Cloud Applications instance, the roles assigned to the user accounts responsible for extracting and validating data must be explicitly marked as public. This ensures that the automated extraction pipelines and validation processes can successfully authenticate and bypass location-based restrictions without failing due to network or geographic boundary blocks.
Why the Incorrect Answers are Wrong
B). The roles must be assigned exclusively through OCI IAM policy statements: Role assignments for application data security and validation in Fusion Cloud Applications are managed internally via the Security Console, not through OCI IAM policy statements.
C). The extraction and validation users must be added to the OCI Network Administrator group: Network administrator groups govern cloud resource infrastructure and networking services rather than application- level data extraction prerequisites or LBAC role configurations.
D). The roles must be configured with IP restrictions inside the FDI Console ACL: The FDI Console ACL manages public instance IP address whitelists, not individual application roles or LBAC settings within Oracle Fusion Cloud Applications.
NEW QUESTION # 123
An author user in Oracle Fusion Data Intelligence is preparing a subject area dataset so that non-technical consumer users can use natural language prompts in the Oracle Analytics AI Assistant to explore business metrics. The author user needs to ensure business terms commonly used by regional teams are recognized by the assistant while maintaining optimal search performance.
Which TWO configuration actions should the author user take during data preparation?
Answer: D,E
Explanation:
Statement B (Add common business synonyms...): To ensure regional or alternative business terms are successfully recognized by natural language prompts, authors must configure custom synonyms mapped directly to the appropriate attribute columns, allowing the AI Assistant to bridge user vocabulary with underlying database objects.
Statement D (Build search indexes for essential dimension attributes...): Optimizing search performance while keeping the model accurate requires focusing search indexing efforts exclusively on essential dimensions and measures, reducing noise and search overhead from bloated or irrelevant columns.
Why the Incorrect Answers are Wrong
Statement A: Logical layer metadata is managed natively through semantic model development and console tooling rather than manual CSV exports and uploads via the Uploads center.
Statement C: Private endpoints secure internal network traffic between cloud components, but they are not a configuration step for managing vector embeddings or natural language synonyms.
Statement E: Re-activating core functional areas is a pipeline configuration task that forces full extractions; it does not selectively optimize or refresh semantic search caches for natural language assistants.
NEW QUESTION # 124
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