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Oracle 1z0-1128-26 Exam Syllabus Topics:

SectionObjectives
Topic 1: Oracle Fusion Data Intelligence- Administration and Configuration
- Semantic Model Extensions and Customization
- Data Pipelines and Data Loading
- Analytics and Reporting
- Solution Overview and Architecture
- Instance Provisioning and Configuration
- Security and Access Management
- Data Augmentation
- Bundles, Backup and Restoration
- Validation and Troubleshooting
Topic 2: Oracle Cloud Infrastructure- OCI Concepts Relevant to Fusion Data Intelligence
- Security and Access
- Cloud Infrastructure Configuration
Topic 3: Functional Consultancy- Troubleshooting and Verification
- Configuration and Validation
- Implementation Decisions
- Business Requirements Analysis
Topic 4: Oracle Fusion Cloud Applications- Application Data and Business Processes
- Integration with Fusion Data Intelligence
- Fusion Cloud Applications Overview
Topic 5: Requirements Management- Implementation and Change Considerations
- Requirements Analysis and Prioritization
- Requirements Gathering

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Oracle Fusion Data Intelligence 2026 Implementation Professional Sample Questions (Q54-Q59):

NEW QUESTION # 54
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?

Answer: C,E

Explanation:
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.


NEW QUESTION # 55
You are managing an FDI Production instance and discover that an upcoming quarterly release update is scheduled during your organization's fiscal year-end financial close window.
What action should you take in the FDI Console to prevent operational disruption during the close window?

Answer: B

Explanation:
Why Option A is Correct
To prevent operational disruptions during critical business cycles such as a fiscal year-end financial close, service administrators must use the Release Updates task within the Oracle Fusion Data Intelligence (FDI) Console. This interface allows administrators to view the schedule for upcoming quarterly updates and, provided the selection falls within the permitted window, adjust or postpone the update date and time to a more suitable maintenance slot.
Why the Other Options Are Incorrect
B). Execute a manual Reset & Reload action on the Pipeline Settings page to pause platform upgrades: Reset
& Reload is a heavy administrative task used to rebuild or clear data pipeline artifacts; it has no functional capability to pause, skip, or modify the platform-level quarterly release schedule.
C). Disable the Virus Scanner task to suppress update installation scripts: Attempting to manipulate background security or system tasks like a virus scanner is not a supported method for controlling service upgrades and will not prevent the platform from applying mandatory updates.
D). Delete the associated Autonomous Data Warehouse database wallet to block system updates: Deleting a database wallet is a destructive action that would break the connection between the FDI application and its data warehouse, rendering the instance unusable, and it would not successfully block an Oracle-managed cloud service update.


NEW QUESTION # 56
Which of the following statements is true regarding bulk data file management using the Uploads center in Oracle Fusion Data Intelligence?

Answer: B

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 # 57
You need to ensure that user data access assignments, such as Business Unit and Business Unit Set access, update automatically in FDI whenever security assignments are modified in Oracle Fusion Cloud Applications.
Which mechanism satisfies this requirement without requiring manual CSV uploads or manual console edits?

Answer: D

Explanation:
Why the Correct Answer is Right
A). Automatic Data Security Synchronization: In Oracle Fusion Data Intelligence (FDI), organizations can automate the extraction and maintenance of user data security assignments (such as Business Units and Ledgers) directly from source Oracle Fusion Cloud Applications. By creating and scheduling data pipelines for the Security Configuration Option functional area within the application's security configuration modules, FDI automatically synchronizes these mappings without requiring manual CSV uploads or console edits.
Why the Incorrect Answers are Wrong
B). Manual export via the Uploads center: This method requires manual administrative effort-downloading template files, modifying entries, and uploading them back into the system-which directly contradicts the requirement for an automated solution.
C). Reapply Steps in Configure Object Permissions: This option refreshes or re-applies metadata-level object permissions within the semantic model extension framework rather than synchronizing dynamic user data security assignments from source cloud applications.
D). Custom script execution in Autonomous Data Warehouse: While database-level custom sync tables can be manually implemented for custom edge cases, the native, out-of-the-box enterprise mechanism for pulling security mappings from Oracle Fusion Cloud Applications is handled through platform security pipelines rather than custom-written warehouse scripts.


NEW QUESTION # 58
An implementation team is deploying Oracle Fusion Data Intelligence across Financials, Projects, and Procurement. The team needs to schedule initial data loads for Financials first, add Procurement at a later date, and establish a plan for handling corrupted staging data if a pipeline error occurs in Projects.
Which TWO statements correctly describe how functional areas must be managed in this scenario?

Answer: A,D

Explanation:
B). Adding Procurement to the activation plan after Financials is active triggers an initial extract for Procurement without impacting Financials.
D). Resetting the Projects functional area clears its warehouse data and requires a new initial load without resetting Financials or Procurement.
Detailed Explanations
Why the Correct Statements are Right
Statement B: Oracle Fusion Data Intelligence (FDI) supports modular activation, allowing administrators to add new functional areas (like Procurement) to an existing deployment at any time. When activated, the system performs an initial data extraction for that specific module, which operates independently and does not impact the stability or historical data of already active areas like Financials.
Statement D: The Reset action is scoped strictly to the functional area being managed. If a pipeline error occurs in Projects, an administrator can trigger a Reset for that specific area to clear its corrupted warehouse data and force a clean reload, leaving Financials and Procurement completely unaffected.
Why the Incorrect Statements are Wrong
Statement A: FDI is designed for incremental deployment; functional areas do not need to be activated simultaneously and can be enabled as project requirements evolve.
Statement C: Activating a new functional area does not alter or reset global environment settings (such as the Global Parameters or historical extract dates) established at the instance level.
Statement E: Resetting a functional area only affects the data warehouse tables and metadata associated with that module's pipeline; it has no impact on external security components like OCI Identity Domains, user accounts, or application role mappings.


NEW QUESTION # 59
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