1z0-1080-24 Dumps With Exact Questions and Answers

In Oracle Planning 2024’s Machine Learning capabilities, particularly with the "Bring Your Own ML" feature, predictions can be defined based on the type of analysis required. To predict revenue using multiple input variables such as price, promotions, industry market size, and climate, the appropriate prediction type is:

A. Dimension Prediction: Incorrect. This type is not a standard term in Oracle’s ML framework for Planning; it suggests predicting across dimensions, which isn’t specific to multi-variable revenue prediction.

B. Source Prediction: Incorrect. This is not a defined prediction type in Oracle Planning’s ML documentation; it might imply source data analysis, but it’s not applicable here.

C. Forecast Prediction: Incorrect. While forecasting involves predicting future values, “Forecast Prediction” is not a specific ML type in Oracle, and it doesn’t emphasize the use of multiple variables.

D. Multivariate Prediction: Correct. Multivariate prediction involves using multiple input variables (e.g., price, promotions, market size, climate) to predict an outcome (e.g., revenue). Oracle’s ML integration supports importing PMML models that handle multivariate analysis, aligning with this scenario.

The Oracle documentation confirms that Multivariate Prediction is the type suited for complex predictions with several input variables, making D the correct answer.

References:

Oracle Planning 2024 Implementation Study Guide: "Machine Learning Prediction Types" (docs.oracle.com, Published 2024-10-15).

Oracle EPM Cloud Documentation: "Bring Your Own ML: Multivariate Models" (docs.oracle.com, Published 2023-11-20, updated for 2024).

In Oracle Planning 2024 Implementation, the Benefits and Taxes Wizard is used to configure employee-related financial components, such as additional earnings, benefits, and taxes, within the Workforce module. To configure Additional Earnings specifically, members must be imported into theComponentdimension. This dimension is designed to categorize and manage various types of earnings, benefits, and taxes that apply to employees.

TheComponentdimension acts as a foundational structure in the Workforce module, allowing administrators to define and import members (e.g., "Bonus," "Overtime," or other additional earnings types) that can then be associated with employees via the wizard. The wizard uses these members to calculate and allocate costs accurately across the workforce plan.

B. Account: While the Account dimension is critical for financial reporting and calculations, it is not the dimension where Additional Earnings members are imported in the Benefits and Taxes Wizard. Accounts are typically used to map earnings to financial statements, not to define the earnings types themselves.

C. Property: The Property dimension is used for employee or job attributes (e.g., location, department), not for configuring earnings types in the wizard.

D. Pay Type: Although Pay Type is related to salary and wage classifications, it is not the dimension used for importing Additional Earnings members in the Benefits and Taxes Wizard. Pay Type is more about categorizing base pay structures rather than additional earnings components.

References

Oracle Enterprise Performance Management Cloud Documentation: "Administering Workforce – Benefits and Taxes Wizard" (docs.oracle.com, updated 2024). Specifies that "members for additional earnings must be imported into the Component dimension" for configuration in the wizard.

Oracle Planning 2024 Implementation Study Guide: Highlights the Component dimension as the target for importing earnings-related members in Workforce configuration.

In Oracle Planning 2024 Implementation, access permissions are configured to control user access to data and metadata at the dimension level. By default, four dimensions are enabled for access permissions to ensure granular security across the application:Scenario,Version,Entity, andAccount. These dimensions are foundational to planning applications and are preconfigured for security settings out of the box.

A. Scenario: Defines different planning scenarios (e.g., Budget, Forecast), and access permissions determine which scenarios a user can view or edit.

B. Version: Controls access to different versions of data (e.g., Working, Final), allowing segregation of draft and approved plans.

C. Entity: Represents organizational units (e.g., departments, divisions), and permissions restrict access to specific entities based on user roles.

D. Account: Governs access to financial accounts (e.g., Revenue, Expenses), ensuring users only interact with relevant account data.

E. Period: While Period (e.g., months, quarters) is a critical dimension, it is not enabled for access permissions by default. Access to time periods is typically managed indirectly through other dimensions or data-level security.

F. Years: Similarly, the Years dimension is not enabled for access permissions by default. It is often controlled through Scenario or Version settings rather than direct permissions.

The default enablement of Scenario, Version, Entity, and Account for access permissions reflects Oracle’s design to provide robust security across planning contexts, organizational structures, and financial data.

References

Oracle Enterprise Performance Management Cloud Documentation: "Managing Security – Access Permissions" (docs.oracle.com, updated 2024). Lists "Scenario, Version, Entity, and Account" as the four dimensions enabled for access permissions by default.

Oracle Planning 2024 Implementation Study Guide: Confirms that these four dimensions are preconfigured for security settings to control user access.