Quiz 2026 Oracle 1z0-1128-26: Fantastic Oracle Fusion Data Intelligence 2026 Implementation Professional Exam Format

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| Section | Objectives |
|---|
| Topic 1: Semantic Model and Analytics Extension | - Semantic Model Customization
- 1. Extending Subject Areas and Metrics
- 2. Custom Dimensions and Hierarchies
- Dashboards, Reports, and AI Features
- 1. Leveraging Generative AI Capabilities
- 2. Configuring Prebuilt and Custom Analytics
|
| Topic 2: OCI and Identity Configuration | - OCI Infrastructure Configuration
- 1. Instance Provisioning and Networking
- Security and Access Control
- 1. Identity and Access Management
- 2. Roles, Permissions, and Data Security
|
| Topic 3: Fusion Data Intelligence Overview and Activation Planning | - Architecture and Core Components
- 1. Prebuilt Analytics and Data Foundation
- 2. FDI Platform Architecture
- Activation and Implementation Planning
- 1. Project Scope and Implementation Phases
- 2. Prerequisites and Environment Setup
|
| Topic 4: Data Pipeline and Warehouse Configuration | - Data Validation and Quality
- 1. Warehouse Data Validation
- 2. Troubleshooting Data Load Issues
- Data Integration and Pipelines
- 1. Data Pipeline Setup and Scheduling
- 2. Fusion Data Source Connections
|
| Topic 5: Administration, Monitoring, and Maintenance | - Ongoing Administration
- 1. Monitoring and Performance Tuning
- 2. Instance Maintenance and Updates
|
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Oracle Fusion Data Intelligence 2026 Implementation Professional Sample Questions (Q67-Q72):
NEW QUESTION # 67
You have created and published several semantic model extensions in your non-production environment and verified that all custom subject areas are functioning correctly in reporting workbooks. How should you move these tested semantic model customizations into your Production environment?
- A. Run an External Application Merge directly against the Production instance URL
- B. Execute an incremental data pipeline reload from Fusion Applications into Production
- C. Re-create the semantic model manually using SQL Developer in Autonomous Data Warehouse
- D. Use the Promote Objects console task to promote the semantic model changes to Production
Answer: D
Explanation:
C). Use the Promote Objects console task to promote the semantic model changes to Production: In Oracle Fusion Data Intelligence (FDI), once semantic model extensions, security configurations, and key metrics are fully developed and tested in a non-production master environment, administrators use the Promote Objects console task under Application Administration. This feature securely packages and pushes the tagged semantic model changes and configurations directly to the target production instance.
Why the Incorrect Answers are Wrong
A). Run an External Application Merge directly against the Production instance URL: External application merges are intended for integrating legacy or external Oracle Analytics repositories into non-production environments rather than directly updating live production schemas via URL connection.
B). Execute an incremental data pipeline reload from Fusion Applications into Production: Pipeline reloads handle the transactional data extraction and synchronization into the Autonomous Data Warehouse, whereas semantic model extensions manage metadata, subject areas, and logical layer definitions.
D). Re-create the semantic model manually using SQL Developer in Autonomous Data Warehouse: Manual database-level scripts in SQL Developer cannot replicate or properly compile semantic model extensions managed through the FDI Console's native sandbox and branch framework.
NEW QUESTION # 68
Which checkbox must be selected on a Descriptive Flexfield segment before FDI's DFF mapper can pick it up?
- A. BI Enabled
- B. Deploy Ready
- C. Extensible Enabled
- D. Context Sensitive
Answer: A
Explanation:
B Explanation: Oracle documentation states: "If a descriptive Flexfield is enabled for Oracle Business Intelligence, the Manage Descriptive Flexfields task displays a BI Enabled checkbox for each global, context, and context-sensitive segment. Select a segment's BI Enabled checkbox to specify that the segment is available for use in Oracle Business Intelligence" - this is the prerequisite step before the segment can appear in OTBI/FDI. "Extensible Enabled" (A) and "Deploy Ready" (D) aren't real flags in this workflow, and
"Context Sensitive" (C) describes a DFF segment type, not an enablement checkbox. Reference: "Enabling Descriptive Flexfields in Oracle Fusion Analytics" (blogs.oracle.com/analytics)
NEW QUESTION # 69
Which OCI IAM policy statement must be granted to an administrator group to permit provisioning and managing Oracle Fusion Data Intelligence instances in a designated compartment?
- A. ALLOW GROUP FAWAdmin.grp TO MANAGE analytics-tenancies IN COMPARTMENT FAWServices
- B. ALLOW GROUP FAWAdmin.grp TO MANAGE analytics-workspaces IN COMPARTMENT FAWServices
- C. ALLOW GROUP FAWAdmin.grp TO MANAGE analytics-instances IN COMPARTMENT FAWServices
- D. ALLOW GROUP FAWAdmin.grp TO MANAGE analytics-clusters IN COMPARTMENT FAWServices
Answer: C
Explanation:
C). ALLOW GROUP FAWAdmin.grp TO MANAGE analytics-instances IN COMPARTMENT FAWServices (Correct) Why it is Correct: Oracle Fusion Data Intelligence (FDI) - formerly Oracle Fusion Analytics Warehouse (FAW) - leverages underlying Oracle Cloud Infrastructure (OCI) services, specifically Oracle Autonomous Data Warehouse (ADW) and Oracle Analytics Cloud (OAC). In OCI Identity and Access Management (IAM), the designated resource type for managing Oracle Analytics Cloud instances is analytics-instances.
For a designated administrator group to provision, view, and manage the analytics components of the FDI instance, they must be granted MANAGE permissions on analytics-instances within their designated compartment.
A, B, and D (Incorrect)
Why they are Wrong: analytics-clusters, analytics-workspaces, and analytics-tenancies are not valid OCI IAM resource types for managing Oracle Analytics Cloud/FDI environments. The only valid resource-type keywords to permit administration of these analytics services in OCI are analytics-instances (for OAC) and analytics-warehouse (for the FDI service itself).
NEW QUESTION # 70
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?
- A. It replaces the need for the Data Pipeline component entirely.
- B. It is especially useful for loading multiple external datasets that are functionally related, such as ledger or party entities.
- C. It requires each data store to use a different, unrelated connector.
- D. It supports Oracle Fusion Applications sources as well as external sources.
- E. It submits a single extraction job covering multiple data stores to the Data Pipeline component.
Answer: B,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 # 71
An organization decides to temporarily suspend data refresh pipelines for HCM Analytics to perform maintenance in the source Oracle Fusion Cloud Applications environment.
What happens when the administrator sets the status of the HCM functional area to Deactivated in the Data Pipeline Activation Plan?
- A. The underlying data pipeline parameters for all other functional areas are locked until HCM is reactivated
- B. The FDI instance automatically drops all user security assignments associated with HCM data roles
- C. Scheduled incremental pipeline extractions for HCM stop, while existing warehouse data for HCM is retained
- D. All historical HCM transactional data in the Autonomous Data Warehouse is immediately truncated and purged
Answer: C
NEW QUESTION # 72
......
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