Oracle 1Z0-1128-26 Real Exam Dumps [September 2026 Update]

Oracle Fusion Data Intelligence is not Oracle Analytics Cloud with Fusion data – and candidates who approach the 1Z0-1128-26 exam as an OAC implementation exam will find the exam tests a fundamentally different implementation model. OAC is a general-purpose analytics platform where the implementer builds everything: data connections, data flows, semantic model subject areas, dashboards. The design and build work belongs to the implementation team. Oracle Fusion Data Intelligence works from the opposite direction: Oracle ships pre-built data pipelines that automatically extract from Oracle Fusion Cloud Applications (ERP, HCM, SCM, CX), pre-built semantic models that map Fusion business objects to analytics-ready subject areas, pre-built KPIs, and pre-built dashboards. The implementation professional’s job is to activate and configure what Oracle has pre-built, validate that the data loaded correctly, extend the pre-built model with the organization’s custom data through Data Augmentation, configure security to ensure users see only their authorized data, and manage the ongoing pipeline refresh cycles. A candidate who knows how to build a semantic model layer from scratch in OAC has not specifically studied how to extend an existing pre-built FDI Semantic Model, how to activate functional areas so their pipelines begin loading data, or how to configure Data Augmentation to bring in custom Fusion fields that the pre-built pipelines don’t include by default. These FDI-specific implementation tasks require FDI-specific preparation.

The Oracle 1Z0-1128-26 (Oracle Fusion Data Intelligence 2026 Implementation Professional) validates the ability to implement, configure, customize, and administer Oracle Fusion Data Intelligence – Oracle’s AI-powered, pre-built analytics platform for Oracle Fusion Cloud Applications. 50 questions, 90 minutes, 65% passing ($245). Builds on Oracle Fusion Data Intelligence (formerly Oracle Fusion Analytics Warehouse).

Cert Empire’s 1Z0-1128-26 exam questions cover all implementation domains at FDI-specific configuration depth – not generic OAC or analytics platform knowledge.

Exam Snapshot

FDI Architecture – What Makes It Different

The pre-built analytics platform model:

Oracle Fusion Data Intelligence operates on a fundamentally different model from general-purpose analytics platforms. Oracle ships:

• Pre-built data pipelines that extract data from Oracle Fusion Cloud Applications (ERP, HCM, SCM, CX) into a dedicated Autonomous Data Warehouse.
• Pre-built semantic models – a carefully organized presentation layer that maps Fusion business objects (invoices, employees, purchase orders, opportunities) into subject areas that business users can query.
• Pre-built KPIs and dashboards for each Fusion module (Financials KPIs, HCM headcount dashboards, SCM procurement dashboards, CX sales pipeline analytics).

What the implementer does: The FDI implementer doesn’t build pipelines or semantic models from scratch – they activate, configure, validate, and extend what Oracle has built. The implementation professional decides which functional areas to activate (which Fusion modules’ pipelines to turn on), verifies that data validates correctly after initial load, extends the pre-built model with custom data through Data Augmentation, configures security so users see only authorized data, and manages pipeline administration tasks.

Domain 1: Configuring Data Pipelines

OCI prerequisites for FDI provisioning: Before creating an FDI instance, specific OCI infrastructure must be in place: the required networking (VCN and subnets), compartments with appropriate IAM policies, and an Autonomous Data Warehouse instance allocated for FDI. The exam tests that FDI provisions into this OCI infrastructure and what permissions are required in the OCI tenancy before provisioning can succeed.

Functional area enablement: FDI organizes its pre-built pipelines by functional areas – each functional area corresponds to a set of Fusion Cloud modules. Enabling a functional area activates the pipelines that extract data from those modules. The exam tests the enablement sequence (functional areas depend on prerequisite areas being enabled first – for example, enabling financial subject areas may require the Financials functional area to be enabled before the Procurement functional area), and what happens when a functional area is enabled for a module the customer has not licensed in Fusion.

Global and reporting parameters: Before pipelines run, global parameters configure how data is extracted: fiscal calendar configuration (which calendar does the organization use – Oracle’s default or a custom fiscal calendar), currency settings (which currencies to report in, exchange rate types to use), and reporting parameters that control aggregation behavior. The exam tests which parameters must be set before the first pipeline run and what incorrect parameter configuration produces (wrong fiscal period assignments, incorrect currency conversions).

Preview versus Generally Available features: FDI has a feature preview mechanism – new capabilities released by Oracle appear as Preview features that administrators can optionally enable before they become Generally Available (GA). The exam tests how to enable preview features, what risks enabling preview features carries (Oracle may change preview feature behavior before GA), and how preview features are different from production-grade GA features.

Domain 2: Data Validation

What data validation verifies: After an FDI pipeline runs and loads data into the Autonomous Data Warehouse, data validation confirms that the extracted data matches the source Fusion Application data. FDI provides a built-in data validation framework that runs comparison queries against both the Fusion source system and the FDI warehouse tables.

Prerequisites for data validation: The exam tests that data validation requires specific Oracle Fusion user roles on the source system (to run the comparison queries against Fusion), the FDI warehouse must have completed at least one successful full load before validation can run, and the validation user must have appropriate FDI privileges.

Scheduled versus detailed validation: FDI supports two validation modes. Detailed validation runs row-level and aggregate-level comparisons – comprehensive but resource-intensive. Scheduled validation runs on a defined schedule (daily or weekly) using lighter-weight aggregate checks, appropriate for ongoing production monitoring. The exam tests when each mode is appropriate and how to interpret validation results when discrepancies appear.

Common validation failure causes: The exam tests the most common causes of data validation failures: data transformation rules in FDI that legitimately produce different aggregations from the source (expected discrepancies that should be documented and accepted), mapping configuration errors (incorrect fiscal calendar or currency mapping that produces systematic differences), and data latency issues (validation runs before Fusion source data has been committed).

Domain 3: FDI Customization

Semantic Model Extension

What the FDI Semantic Model contains: The Semantic Model is FDI’s business presentation layer – a set of subject areas, dimensions, and metrics that expose the Fusion data in business terms. Subject areas correspond to functional domains: Finance Revenue subject area, HCM Workforce subject area, etc. Each subject area contains logical dimensions (Company, Period, Employee) and logical metrics (Revenue, Headcount, Invoice Amount).

Extending versus replacing the Semantic Model: The exam specifically tests that FDI implementers extend the pre-built Semantic Model – they do not build a replacement from scratch. Extensions add custom dimensions, add custom metrics derived from Data Augmentation data, or surface additional pre-built attributes that the default presentation doesn’t expose. Replacing the Semantic Model entirely breaks the FDI upgrade path (Oracle’s updates to the pre-built model cannot be applied).

Custom subject areas: Implementers can create custom subject areas within FDI that are separate from the pre-built subject areas. Custom subject areas can combine data from the pre-built model with custom Data Augmentation data. The exam tests how custom subject areas are created and what constraints apply (they cannot modify the pre-built subject areas directly).

Data Augmentation

What Data Augmentation enables: Data Augmentation is FDI’s mechanism for bringing custom data – data from custom Fusion fields, from custom Fusion objects, or from external sources – into the FDI analytics environment alongside the pre-built content. It extends FDI’s pre-built pipelines with additional data that the pre-built pipelines don’t include by default.

Data Augmentation pipeline types the exam tests:

• Custom columns in Fusion objects: Adding additional Fusion fields that exist in the source application but are not included in FDI’s default extraction. An organization may have added custom descriptive flexfields (DFFs) to Oracle Fusion that contain business-critical data – Data Augmentation can include these fields in the FDI pipeline.
• Custom Fusion objects: Entire custom tables created in Oracle Fusion that don’t exist in the standard Fusion data model. Data Augmentation can create extraction pipelines for these objects.
• External data sources: Data from non-Fusion systems (REST APIs, flat files, third-party applications) can be brought into FDI through Data Augmentation.

The exam tests when each Data Augmentation type is appropriate and the configuration steps required for each.

Security Framework Configuration

FDI security model: FDI inherits security from Oracle Fusion – users authenticate using their Fusion identity, and their data access in FDI is governed by Fusion’s data security model. The exam tests how FDI security is configured: security configurations in FDI map Fusion security predicates to the FDI data warehouse, ensuring that a user who can only see their own business unit’s data in Fusion also only sees that business unit’s data in FDI analytics.

Row-level security in FDI: The exam tests how FDI implements row-level data security (restricting which rows of data a user can query based on their Fusion authorization). Row-level security uses Oracle’s database vault capabilities and the security predicates defined in the FDI semantic model. Incorrect security configuration produces either data exposure (users seeing data they shouldn’t) or data gaps (users unable to see data they should have access to).

AI in FDI

Oracle’s AI capabilities in FDI: FDI includes embedded AI features: anomaly detection on KPIs (automatically flagging when a KPI value deviates significantly from its historical trend), predictive KPIs (ML-based forecasts of future KPI values), and natural language querying (users asking questions in plain language and receiving data-driven answers). The exam tests how these AI capabilities are enabled and configured at the FDI administrator level.

Domain 4: Administration and Maintenance

Incremental pipeline management: After the initial full data load, FDI runs incremental pipelines that extract only data changed since the last run. The exam tests how incremental loads are scheduled, what triggers a full reload requirement (significant schema changes in Fusion source, FDI upgrade that requires re-extraction), and how pipeline failures are monitored and resolved.

Backup, restore, and Bundles: FDI’s Bundle feature provides a mechanism for exporting the FDI configuration – customizations, security settings, augmentation configurations – as a portable package. The exam tests Bundles as the mechanism for migrating FDI configuration from a test instance to a production instance (export from test → import to production). This is the recommended migration path, not manual recreation of configuration in production.

Release management and upgrades: FDI is a SaaS platform that Oracle upgrades on a rolling schedule. The exam tests how FDI upgrades are managed: Oracle notifies administrators of upcoming upgrades, administrators have a window to review and test preview features before the upgrade, and Oracle manages the actual upgrade execution.

Test-to-production migration: The exam tests the complete test-to-production workflow: configure and validate in a test instance using Bundles to package configuration, validate the Bundle content against the target production instance, import the Bundle in production, and verify post-migration configuration.

5 Study Tips for Oracle 1Z0-1128-26

• Tip 1: Study FDI’s pre-built activation model specifically – functional area enablement sequence, prerequisites, and what “activating” a functional area means operationally. This is FDI-specific knowledge that OAC preparation doesn’t cover.
• Tip 2: Study Data Augmentation types (custom columns, custom objects, external sources) with their configuration workflows. This is the most common extension mechanism and appears consistently in exam questions.
• Tip 3: Study the Bundle mechanism as the only supported test-to-production migration path. Know what a Bundle contains and what it does not contain.
• Tip 4: Study data validation – prerequisites, scheduled versus detailed modes, and how to interpret validation discrepancies. Data validation is a distinctive FDI capability with no direct equivalent in generic OAC.
• Tip 5: Practice with Cert Empire’s 1Z0-1128-26 exam questions at FDI-specific implementation depth – pipeline activation, Semantic Model extension, Data Augmentation configuration, and Bundle-based migration.

Best Study Resources

• Cert Empire 1Z0-1128-26 exam questions PDF and practice simulator (2026 edition).
• Oracle University: Oracle Fusion Data Intelligence 2026 Implementation Professional official learning path.
• Oracle Fusion Data Intelligence documentation (docs.oracle.com/en/cloud/saas/analytics/fusion-data-intelligence).
• Oracle MyLearn: Fusion Data Intelligence courses.
• DBExam.com: Oracle 1Z0-1128-26 sample questions and preparation guide.

Why Candidates Choose Cert Empire for Oracle 1Z0-1128-26 Preparation

✔ Functional area activation and pipeline configuration scenario questions. Our questions test the prerequisite dependencies between functional areas and what incorrect parameter configuration produces.

✔ Data Augmentation type selection questions. We test when custom columns, custom objects, and external data source augmentation are appropriate and what each requires.

✔ Semantic Model extension versus replacement questions. Our questions test why extending the pre-built model is required rather than replacing it.

✔ Bundle migration workflow questions. We test the complete test-to-production workflow using Bundles.

✔ Backed by a full money-back guarantee. If our exam questions do not help you pass, we refund your purchase.

FAQ’s

What is Oracle 1Z0-1128-26?

1Z0-1128-26 is the Oracle Fusion Data Intelligence 2026 Implementation Professional exam. It validates the ability to implement, configure, customize, and administer Oracle Fusion Data Intelligence – Oracle’s pre-built AI analytics platform for Oracle Fusion Cloud Applications.

How is FDI different from OAC?

Oracle Analytics Cloud (OAC) is a general-purpose analytics platform where implementers build everything from scratch. Fusion Data Intelligence ships with pre-built data pipelines, pre-built semantic models, and pre-built dashboards specifically for Oracle Fusion Cloud Applications. The implementer activates, configures, and extends what Oracle has built rather than building from scratch.

What is Data Augmentation in FDI?

Data Augmentation is FDI’s mechanism for adding custom data – custom Fusion fields, custom Fusion objects, or external data – into the FDI analytics environment alongside the pre-built content. It extends FDI’s pre-built pipelines without replacing them.

What is the FDI Bundle?

A Bundle is FDI’s export/import mechanism for migrating configuration (customizations, security settings, Data Augmentation configurations) between FDI instances – for example, from a test environment to production.

Related Certifications Worth Exploring

Oracle 1Z0-1128-26 certified professionals expanding their Oracle analytics credentials will find our Oracle 1Z0-1122-26 (OCI AI Foundations Associate) exam questions page covers the AI foundations credential that contextualizes FDI’s embedded AI capabilities within Oracle’s broader AI platform. For those building Oracle Cloud application implementation expertise, our Oracle 1Z0-1085-26 (OCI Foundations Associate) exam questions page covers the foundational OCI credential that underpins FDI’s OCI-based infrastructure.