
Topics Covered in 1Z0-1128-26 Exam
Exam Overview Exam Code: 1Z0-1128-26
Exam Name: Oracle Fusion Data Intelligence 2026 Implementation Professional
Exam Duration: 120 minutes
Format: Multiple-choice and scenario-based questions
Target Audience: Implementers, administrators, and technical consultants working
with Oracle Fusion Data Intelligence
Key Exam Topics
Architecture Provisioning: FDI functional architecture, ordering, activation,
and OCI prerequisites.
Security Configuration: Single Sign-On (SSO) activation, user/group management,
and data security frameworks.
Instance Administration: Deploying with private endpoints, managing
global/reporting parameters, and release management.
Data Integration Customization: Extending semantic models, data augmentation,
incremental uploads, and external application integration.
Maintenance Migration: Migrating artifacts between test and production,
backup/restore using bundles, and validation tools.
The 1Z0-1128-26: Oracle Fusion Data Intelligence 2026 Implementation
Professional Exam tests real-world skills required to deploy, configure,
customize, and manage Oracle Fusion Data Intelligence (FDI, formerly FAW).
* FDI Architecture System Setup: Platform components, pre-built semantic
models, preview features vs. general availability (GA) features.
* Data Pipeline Activation Configuration: Functional area activation,
prerequisite dependencies, incremental loads, and global pipeline parameters.
* Data Validation Troubleshooting: Post-load data reconciliation, handling
expected source-to-warehouse discrepancies, and pipeline error logging.
* Data Augmentation Customizations: Custom subject areas, extending pre-built
semantic models, adding custom columns/objects from Fusion Applications, and
external data integration.
* Security Access Management: Synchronization of Fusion Applications security,
duty roles, object-level security, and row-level data security predicates.
* Instance Administration Lifecycle Management: Test-to-production migrations,
bundle packaging, environment refreshes, and release update uptake.
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Oracle
Exam Syllabus - Objectives
Foundation and Core Architecture
This domain covers the essential concepts and structural foundation of Oracle
Fusion Data Intelligence. Candidates must
understand the platform's overall purpose, functional components, and how
various layers interact to deliver analytics
and reporting capabilities. This includes comprehending the end-to-end
architecture that supports data integration,
transformation, and consumption within enterprise environments.
* Platform overview and value proposition within the Oracle Fusion ecosystem
* Functional architecture components and their interconnections
* Core capabilities for analytics and business intelligence delivery
Relative weight: 10-15%
Prerequisites and Environmental Preparation
Before implementing a working instance, professionals must navigate several
prerequisite steps involving Oracle Cloud
Infrastructure, identity management, and application integration. This domain
tests knowledge of the ordering process,
activation workflows, and foundational setup requirements across multiple
platforms and services that must be in place
before deployment begins.
* FDI provisioning and activation procedures
* OCI infrastructure requirements and configuration
* Single sign-on integration and authentication setup
* Fusion application integration readiness
Relative weight: 10-15%
Instance Creation and Configuration
This domain focuses on the practical steps of standing up a functional FDI
instance within a target environment.
Candidates must be proficient in configuration decisions, ongoing administrative
tasks, and deployment topology options
including private endpoint architectures that protect sensitive environments.
This represents a significant hands-on competency area.
* Instance provisioning and initial configuration
* Administrative operations and maintenance workflows
* Private endpoint deployment for secure, isolated implementations
* Instance lifecycle management
Relative weight: 15-20%
Security Framework and Access Control
Security implementation across FDI involves multiple layers: identity and access
management, object-level permissions,
data-level restrictions, and automated security policies. Candidates must
understand how to establish proper user
hierarchies, define role-based access, protect sensitive objects, implement
row-level and field-level security, and
automate ongoing security governance to maintain compliance and data protection.
* User and group provisioning and role assignment
* Object-level security policies and restrictions
* Data security through filtering and access rules
* Security policy automation and enforcement
Relative weight: 15-20%
Data Pipeline Configuration and Management
This domain encompasses the technical setup required to move data through the
FDI system. Professionals must
configure system-wide parameters, establish reporting-specific settings,
organize functional areas within the platform,
and manage feature enablement across the data pipeline. This ensures data flows
correctly and business-relevant
information is accessible to end users.
* Global parameter configuration for system-wide behavior
* Reporting-specific parameter and configuration settings
* Functional area organization and management
* Feature enablement strategies and rollout approaches
Relative weight: 10-15%
Data Quality and Validation
Ensuring data integrity throughout the platform requires establishing validation
frameworks. This domain covers the
setup of data quality checks, both executed on-demand and on schedules, and the
prerequisites needed before
validation can occur. Candidates must understand how to detect and address data
quality issues systematically.
* Validation framework prerequisites and dependencies
* Detailed validation rule configuration
* Scheduled validation execution and monitoring
Relative weight: 8-12%
Customization and Extended Capabilities
FDI provides multiple customization pathways for organizations with specific
requirements. Candidates must know how
to tailor the user interface, modify the underlying semantic data model, extend
security logic, incorporate external data
sources, enable third-party application integrations, and leverage artificial
intelligence features. This domain emphasizes
adapting the platform to unique business needs.
* User interface personalization and design customization
* Semantic model extension and modification
* Security framework customization and enhancement
* Custom data integration and augmentation
* External system integration and API enablement
* Artificial intelligence and advanced analytics capabilities
Relative weight: 15-20%
Administration, Operations, and Deployment Lifecycle
This final domain covers the ongoing operational and lifecycle management of FDI
implementations. Professionals must
manage incremental data updates from source Fusion applications, perform routine
instance administration, execute
version upgrades and apply patches, migrate configurations across environments,
execute bulk data operations
efficiently, and implement backup and restore strategies. This represents the
sustaining phase of the implementation.
* Incremental data synchronization from Fusion applications
* Day-to-day instance administration and monitoring
* Upgrade procedures and release management
* Artifact migration between development, test, and production instances
* Bulk upload capabilities and rapid deployment tools
* Backup, restore, and bundle-based recovery strategies
Relative weight: 15-20%
QUESTION 1
Your organization is implementing Oracle Fusion Data Intelligence (FDI) for the
first time. During the preimplementation
phase, you have completed the OCI prerequisites and requested SSO activation.
However,
the Fusion Application team reports they have not yet completed their
prerequisite setup tasks. What should
be your next step before proceeding with FDI instance creation?
A. Proceed with FDI instance creation immediately; Fusion Application
prerequisites can be completed in
parallel without impacting the instance
B. Wait for the Fusion Application prerequisites to be completed, as these are
blocking requirements that
must be satisfied before creating the FDI instance
C. Request OCI to temporarily bypass Fusion Application prerequisites and
activate FDI in a restricted mode
D. Activate FDI with SSO only and manually configure Fusion Application
connectivity after instance creation
Answer: B
Explanation:
Fusion Application prerequisites are blocking requirements that must be
completed before creating an FDI
instance. These include proper configuration of source systems, user
provisioning, and data connectivity, which
are essential for the FDI instance to function correctly. Attempting to create
the instance without completing
these prerequisites will result in configuration errors and data integration
failures. SSO activation and OCI
prerequisites are necessary but not sufficient; all three categories of
prerequisites must be satisfied in sequence.
QUESTION 2
You are configuring security for a newly deployed FDI instance serving multiple
business units. Your
organization requires that different user groups have access to different sets
of data based on their roles.
Which two of the following security configuration approaches should you
implement to meet this requirement?
A. Configure FDI Object Security to control which reports and dashboards each
user group can access
B. Assign Data Security policies to restrict which data rows and columns are
visible to each user based on their organizational role
C. Enable Security Automation to automatically provision all users into a single
global security group regardless of role
D. Create separate FDI instances for each business unit to completely isolate
user access and data visibility
Answer: A, B
Explanation:
FDI Object Security and Data Security are complementary mechanisms for
implementing role-based access
control. FDI Object Security controls access to reports, dashboards, and
analytical objects at the metadata
level, while Data Security policies (row-level and column-level security)
restrict which actual data records and
fields users can see based on their assigned roles and attributes. Security
Automation streamlines the ongoing
management of these policies but does not replace the need for their initial
configuration. Creating separate
instances for each business unit is neither necessary nor a best practice—FDI
is designed to support multitenant
security models within a single instance using these configuration tools.
QUESTION 3
Your FDI instance is configured to sync data from Oracle Fusion Applications on
a daily incremental upload
schedule. During a recent data audit, you discovered that some recently modified
records from Fusion
Applications have not appeared in FDI despite the scheduled upload completing
successfully. What is the
most likely cause and recommended resolution?
A. The incremental upload is working correctly; recent changes are cached and
will appear in FDI within 24 hours
B. The data validation configuration has identified these records as suspect and
is holding them pending manual review
C. The Functional Areas managing these source tables may not be enabled, or the
global parameters controlling
incremental sync may need adjustment
D. Incremental uploads do not support modified records; you must perform a full
bulk upload to capture the changes
Answer: C
Explanation:
When incremental uploads from Fusion Applications complete but recent changes
are missing, the issue
typically relates to data pipeline configuration. The most common causes are:
(1) Functional Areas containing
the affected tables are not enabled in the data pipeline, or (2) Global
Parameters controlling the incremental
sync scope or scheduling are misconfigured. Both of these are administrative
configuration tasks within the
'Configure the Data Pipeline' objective. Data validation configured correctly
would flag suspect data but would
not silently exclude valid changes. Incremental uploads fully support detecting
and syncing modified
records—that is their primary function. Caching delays are typically minimal
in modern FDI deployments.
QUESTION 4
You are planning to promote semantic model customizations and custom data
augmentations from your FDI
test instance to the production instance. Your organization also requires that
these changes be immediately
available for backup and disaster recovery purposes. Which combination of tools
and approaches should you
use to accomplish this migration and backup requirement?
A. Use the artifact migration feature to promote changes to production, then
manually export the
semantic model configuration files
B. Migrate artifacts from test to production using the built-in migration tools,
then create a bundle
containing the promoted artifacts for backup and restore capability
C. Export all custom data as CSV files, upload them to production using bulk
upload tools, and store the
files in external object storage
D. Recreate the semantic model customizations manually in production and use the
built-in snapshot
feature to capture baseline versions
Answer: B
Explanation:
FDI provides integrated migration tools specifically designed to promote
artifacts (including customized
semantic models and security configurations) from lower environments to
production. Additionally, FDI bundles
are the recommended mechanism for packaging, versioning, and restoring complex
configurations for backup
and disaster recovery scenarios. Using bundles ensures that all migrated
artifacts can be quickly restored in
case of failures. Manual recreation is error-prone and does not scale. CSV file
approaches are appropriate for
data augmentation but do not manage metadata or semantic model customizations.
The combination of
artifact migration and bundles represents the enterprise-grade approach aligned
with FDI best practices.
QUESTION 5
Your FDI implementation includes AI/AIDP (Artificial Intelligence Data Platform)
features that you want to
leverage for predictive analytics. Before enabling these capabilities, what is
the primary customization
requirement you must address?
A. You must configure custom data augmentation sources to provide the training
datasets that AI/AIDP models require
B. You must migrate all existing reports to a special AI-enabled reporting
parameter set
C. You must increase the global parameter memory allocation to accommodate AI
processing overhead
D. You must disable Data Security policies because AI/AIDP models cannot operate
with row-level security restrictions
Answer: A
Explanation:
Leveraging AI/AIDP capabilities in FDI typically requires preparing appropriate
training data and augmenting
the semantic model with relevant data sources. Custom data augmentation is the
mechanism used to extend
FDI with external or derived datasets that train AI models and enable advanced
analytics. While reporting
parameters and global parameters are important configuration areas, they are not
prerequisites for AI/AIDP
enablement. Data security policies are fully compatible with AI/AIDP—in fact,
ensuring that AI models respect
data security boundaries is a critical requirement in production environments.
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Most Asked FAQs (Google, Reddit AI Search Trends)
1. What is the exam code for Oracle Fusion Data Intelligence 2026
Implementation Professional?
The official exam code is 1Z0-1128-26.
2. How many questions are on the 1Z0-1128-26 exam, and what is the time limit?
The exam consists of 50 multiple-choice questions to be completed within 90
minutes.
3. What is the passing score for the 1Z0-1128-26 exam?
The passing score is 65%.
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5. Is 1Z0-1128-26 the same as the old Oracle Fusion Analytics Warehouse (FAW)
exam?
It is the updated 2026 version of the FAW certification, rebranded to reflect
Oracle’s expanded Fusion Data Intelligence (FDI) ecosystem.
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9. How does FDI handle source-to-warehouse security synchronization?
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propagate access permissions directly into the warehouse semantic layer.
10. What is Data Augmentation in Oracle Fusion Data Intelligence?
Data Augmentation allows implementers to extend delivered pipelines with custom
Fusion attributes, custom Fusion objects, or external data sources.
11. How are custom configurations migrated from test to production in FDI?
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