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Oracle 1z0-1128-26 Exam Syllabus Topics:

SectionObjectives
Topic 1: Implementation Prerequisites and Instance Creation- Private endpoint deployment considerations
- Oracle Cloud Infrastructure prerequisites and identity considerations
- Single Sign-On activation and Fusion Applications prerequisites
- FDI instance provisioning and configuration
- Ordering and activation requirements
Topic 2: Customization, Extensibility, Administration, and Maintenance- Incremental uploads and instance lifecycle activities
- Upgrades and releases
- AI and AIDP capabilities
- Security framework customization
- Bundles for backup and restore
- Test-to-production migration and bulk deployment
- User experience customization
- Semantic model extensions
- Data Augmentation and External Applications
Topic 3: Security Configuration- Users and groups
- Data-security assignments
- Security automation
- Object security
Topic 4: Oracle Fusion Data Intelligence Fundamentals- Oracle Fusion Cloud Applications and Oracle Cloud Infrastructure concepts
- Oracle Fusion Data Intelligence solution, capabilities, components, and functional architecture
Topic 5: Data Pipeline Configuration and Validation- Global and reporting parameters
- Detailed and scheduled data-validation processes
- Preview and Generally Available features
- Data validation prerequisites
- Functional areas

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Oracle Fusion Data Intelligence 2026 Implementation Professional Sample Questions (Q29-Q34):

NEW QUESTION # 29
Which mapper controls which Descriptive Flexfields are loaded into FDI?

Answer: A

Explanation:
The DFF Mapper (Descriptive Flexfield Mapper) is the dedicated administration tool and user interface within Oracle Fusion Data Intelligence (FDI) used by administrators to select, map, and control which BI-enabled Descriptive Flexfields from source Oracle Fusion Cloud Applications are extracted and loaded into the FDI data model.
Why the Other Options Are Incorrect
A). Security Configuration: This area governs application roles, data security filters, and user permission mappings rather than controlling the selection and extraction of flexfield attributes.
B). PVO Extension: While View Objects (PVOs) are the underlying data structures used for extraction in Oracle BI Cloud Connector, the specific application-level UI utility designed for managing and mapping descriptive flexfields into FDI is the DFF Mapper.
D). Data Augmentation Template: Data augmentation templates are used for extending data models with custom entities or additional derived attributes, but they do not serve as the specific tool for mapping standard or flexfield attributes.


NEW QUESTION # 30
Which of the following statements is true regarding the migration of semantic model customizations from a non-production instance to a Production instance?

Answer: C

Explanation:
Why Option D is Correct
When promoting semantic model extensions, key metrics, and reporting configurations from a non-production environment to a Production instance in Oracle Fusion Data Intelligence, both environments must be operating on compatible release versions. Ensuring release compatibility guarantees that metadata definitions, logical models, and underlying object references packaged from the source can be seamlessly interpreted and applied by the target instance without syntax failures or broken schema dependencies.
Why the Other Options Are Incorrect
A). Promoted semantic model extensions automatically erase and reset all transactional data tables in the Production Autonomous Data Warehouse: Semantic model promotions apply changes to metadata repository structures and reporting layers; they do not drop, erase, or reset transactional data tables stored within the underlying Autonomous Data Warehouse.
B). Using Promote Objects transfers user password credentials and OCI IAM identity domain policies alongside semantic model extensions: The object promotion feature targets application-specific configurations, semantic extensions, KPIs, and granular object/data security maps. It does not manage, transfer, or overwrite user account passwords or tenancy-wide OCI IAM identity domain policies.
C). Customizations promoted from non-production remain in draft status in Production until an administrator manually rebuilds the physical database schema: Promoted customizations are deployed and activated on the target environment through the managed platform workflow. They do not require manual physical database schema rebuilds to exit a draft state.


NEW QUESTION # 31
Which OCI role or group must a user hold to activate the FDI subscription?

Answer: B

Explanation:
A). OCI_Administrator role or Administrators group
Explanation of the Correct Answer
OCI_Administrator role or Administrators group (A): To successfully activate an Oracle Fusion Data Intelligence (FDI) subscription (as well as its prerequisite Universal Credits subscription), the user must be a cloud administrator who has been explicitly assigned the OCI_Administrator role or added to the Administrators group within the target cloud account or OCI tenancy.
Explanation of the Incorrect Answers
Modeler Administrator (B): This role handles data modeling tasks within the analytics environment rather than possessing the high-level cloud account administration permissions required for tenancy service activations.
Integration Specialist Group (C): This group is typically responsible for setting up integrations, data pipelines, or middleware data flows rather than managing account-level subscriptions.
Functional Administrator (D): This role is designed for managing application-specific functional setups and configurations rather than global tenancy administration and subscription provisioning.


NEW QUESTION # 32
Which system application role must be assigned to a user in Oracle Fusion Data Intelligence to grant them permissions to manage users, groups, application roles, and security assignments?

Answer: A

Explanation:
C). FDI Security Administrator (Correct): The FDI Security Administrator system application role provides the privileges required to access the Security administrative pages within the Oracle Fusion Data Intelligence Console. Users assigned this role can create and manage user assignments, groups, custom application roles (data and duty roles), security contexts, and data security assignments.
Why Other Options Are Incorrect
A). FDI Functional Administrator: Responsible for managing pipeline functional configurations, subject area settings, data extraction parameters, and data validation rules, but does not manage core platform security, user roles, or identity groups.
B). FDI Author: A content creation system role that allows users to build, edit, save, and publish custom workbooks, analyses, dashboards, and key metrics in Oracle Analytics Cloud; it grants no administrative permissions for security management.
D). FDI Data Pipeline Administrator: Oversees data pipeline jobs, load monitoring, dataset refresh schedules, and data warehouse pipeline executions.


NEW QUESTION # 33
After increasing or decreasing the ECPU count for the Autonomous Data Warehouse, what must you run for the change to take effect?

Answer: A

Explanation:
Pipeline incremental job (A): After increasing or decreasing the ECPU count (or compute units) for the Autonomous Data Warehouse associated with Oracle Fusion Data Intelligence, you must run a pipeline incremental job so that the changes, such as updated maximum connection limits, take full effect across the application framework.
Explanation of the Incorrect Answers
A full data warehouse reset (B): This action completely resets the warehouse data and structures (often required for major global configuration changes like language parameters), which is unnecessary and overly disruptive for a simple compute scale-up or scale-down.
A new environment bundle (C): Environment bundles are used for migrating, importing, and deploying semantic models, application objects, or customizations between different instances rather than applying backend database resource scaling changes.
A Detailed Data Validation report (D): This report is utilized to check data integrity, schema consistency, and data reconciliation between source applications and the target data warehouse, rather than updating provisioned infrastructure compute capacity.


NEW QUESTION # 34
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