Oracle 1z0-1080-24 Exam With Confidence Using Practice Dumps

As a Service Administrator in the context of Oracle Planning 2024 Implementation, application diagnostics is a critical tool used at design time to ensure that applications are free of design flaws before they are deployed into production. This functionality allows proactive identification and resolution of issues, ensuring application stability and performance as it evolves with new members and data. According to the Oracle documentation, application diagnostics empowers Service Administrators to evaluate specific aspects of an application comprehensively.

D. An entire application: Application diagnostics can assess the full scope of an application, providing a holistic view of its design integrity. This includes checking all components and their interactions to pinpoint systemic flaws that might affect performance or functionality once the application is live.

C. Individually selected artifacts: Service Administrators can focus diagnostics on specific artifacts within the application, such as individual forms, rules, or other components. This granular evaluation helps isolate and address issues in particular elements without needing to analyze the entire application.

E. Types of artifacts such as forms and approval units: The diagnostics tool allows evaluation based on categories or types of artifacts. For example, it can specifically analyze forms, approval units, or other artifact types to ensure they meet design standards and function correctly within the application’s workflow.

The optionsA. Error log filesandB. Migration snapshotsare not explicitly mentioned as evaluable components within the scope of application diagnostics at design time in the Oracle Planning 2024 Implementation documentation. Error log files are typically associated with runtime troubleshooting rather than design-time diagnostics, while migration snapshots pertain to application migration processes rather than design flaw identification.

References

Oracle Enterprise Performance Management Cloud Documentation: "About Application Diagnostics" (docs.oracle.com, published 2018-03-22, updated as of 2024). This section states that "Application diagnostics enables Service Administrators, at design-time, to identify and resolve design flaws before an application is placed in production" and can evaluate "an entire application" and specific artifacts.

Oracle Planning 2024 Implementation Study Guide: Application diagnostics section confirms the ability to assess "entire applications" and "individual or types of artifacts such as forms and approval units" to ensure design integrity.

These references align with the capabilities described for Service Administrators using application diagnostics in the Oracle Planning 2024 Implementation framework.

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.