1Z0-1128-26 Exam Dumps and Practice Questions

Comprehensive and Detailed Explanation From Oracle Fusion Data Intelligence / Course Guide Topics:

C . Fusion Accounting Hub Analytics

Explanation for the Correct Answer

Fusion Accounting Hub Analytics is a specialized analytics solution designed to bridge operational data with core financial reporting. It enables finance teams to analyze granular subledger accounting transactions, journal entries, and supporting references alongside standard financial balances, offering end-to-end traceability and deep insights into accounting data.

Why the Other Options Are Incorrect

A . Fusion ERP Analytics core module: While the core ERP Analytics module covers general ledger, payables, and receivables reporting, the specific capability to dive deep into granular subledger accounting transactions, journals, and supporting references from external or specialized subledgers requires the dedicated Accounting Hub Analytics add-on SKU.

B . Fusion CX Analytics add-on solution: Fusion CX Analytics focuses entirely on customer experience domains---such as marketing, sales, and service operations---rather than financial accounting and subledger data.

D . Fusion SCM Analytics supply chain module: Fusion SCM Analytics is built to optimize supply chain execution, procurement, inventory, and fulfillment operations, not accounting subledgers and financial journals.

Oracle Study Guide reference area: Configuring Security

Comprehensive and Detailed Explanation From Oracle Fusion Data Intelligence / Course Guide Topics:

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.

Oracle Study Guide reference area: Administration and Maintenance

Comprehensive and Detailed Explanation From Oracle Fusion Data Intelligence / Course Guide Topics:

Statement A: Front-end analytical artifacts---such as individual workbooks, folders, and key metrics---do not rely on the centralized semantic model wizard. Instead, their permissions are explicitly managed and set on an individual basis by selecting the object, adding the appropriate duty role, and assigning the corresponding access level.

Statement B: The Configure Object Permissions tool is provided as a prebuilt, unified single step within the FDI Security Configurations interface. It is specifically designed to manage and enforce access constraints across subject areas and their underlying metadata elements using duty-type application roles.

Why the Incorrect Statements are Wrong

Statement C: You do not manually create a separate Configure Object Permissions step for each custom duty role. Instead, there is a single prebuilt Configure Object Permissions step provided by the system, which administrators edit to handle multiple custom and prebuilt duty roles.

Statement D: Object-level and element-level security mapping relies on duty-type application roles, whereas row-level and column-level data filters are governed separately by data-type application roles via the Configure Data Security feature.

Statement E: Column-level object permissions control metadata visibility and do not automatically eliminate or override separate data security filters configured for users.

Oracle Study Guide reference area: FDI Customization

Comprehensive and Detailed Explanation From Oracle Fusion Data Intelligence / Course Guide Topics:

D . User-created datasets, connections, and machine learning models

Explanation of the Correct Answer

When you build a Composite Bundle in Oracle Fusion Data Intelligence (FDI)---which combines multiple individual bundle types like Content, Security, and Semantic Models---certain catalog-level items are omitted by design. Specifically, Oracle Analytics Cloud (OAC) content snapshots capture folders excluding datasets. Because user-created datasets and certain standalone ML artifacts are not natively packaged inside standard catalog or composite bundle exports, administrators must manually recreate or re-import them (such as via Data Visualization Archive files) into the target instance.

Why the Other Options Are Incorrect

A . Customized key metrics and semantic extension subject areas: These elements are fully supported and included natively within Content bundles and Semantic Model bundles, allowing them to be seamlessly packaged and deployed as part of a Composite Bundle.

B . Functional area activation metadata and global reporting parameters: Pipeline parameters, global configurations, and functional area activation metadata are explicitly handled and bundled via Data Configuration bundles, which integrate directly into composite deployment structures.

C . Custom application roles and object security permissions: Custom application roles, data security rules, and role-to-group assignments are fully supported inside Security bundles, meaning they are successfully included and migrated through Composite Bundles.

Oracle Study Guide reference area: Administration and Maintenance

Comprehensive and Detailed Explanation From Oracle Fusion Data Intelligence / Course Guide Topics:

Oracle Fusion Data Intelligence (FDI) structures its prebuilt data model within an immutable star schema implemented on the underlying Oracle Autonomous Data Warehouse. The core out-of-the-box fact and dimension tables are preconfigured and locked by Oracle to preserve data integrity and ensure smooth application lifecycle updates, while still allowing users to append custom data models through extension interfaces.

Why the Other Options Are Incorrect

A . Relational third-normal-form schema: Third-normal-form schemas are typically deployed in operational transactional systems (OLTP) to reduce data redundancy, whereas enterprise analytics platforms rely on dimensional star schemas optimized for aggregation speed and reporting performance.

B . Document store: Document stores are NoSQL repositories designed for semi-structured data like JSON documents, which contrasts sharply with the structured relational dimensional layout used by FDI.

D . Graph database: Graph databases specialize in managing complex network relationships and connected data nodes rather than the multi-dimensional fact and dimension aggregations required for business intelligence workloads.

Oracle Study Guide reference area: Introduction to Oracle Fusion Data Intelligence