Pass the Oracle Oracle Enterprise Planning and Budgeting Cloud Service 1z0-1080-25 Questions and answers with CertsForce

To budget for future headcount and related personnel expenses (e.g., salary, benefits, taxes) in Oracle Planning 2024, the Workforce module must be enabled and configured. This module is specifically designed for detailed employee planning, including:

A. Financials: Incorrect. Financials focuses on revenue, expense, and financial statement planning at an aggregated level, not detailed headcount or personnel expenses like benefits and taxes.

B. Strategic Modeling: Incorrect. Strategic Modeling is for high-level scenario analysis (e.g., mergers, long-term strategies), not granular headcount budgeting.

C. Sales Planning: Incorrect. Sales Planning (if available as a custom module) targets sales forecasts and quotas, not employee-related expenses.

D. Workforce: Correct. Workforce enables budgeting for headcount (e.g., hiring plans) and calculates associated costs—salaries, benefits (e.g., health insurance), and taxes (e.g., payroll taxes)—with predefined and customizable options.

The Oracle documentation confirms that Workforce is the module tailored for headcount and personnel expense budgeting, making D the correct answer.

In Oracle Planning 2024 Implementation’s Workforce module, configuring merit-related settings for employees involves specifying eligibility criteria and timing, such as a hire date cutoff for existing employees to receive merit increases and the month when merit adjustments begin. The Merit Assumptions option is the correct choice for this purpose.

B. Merit Assumptions: This feature allows administrators to define merit-related parameters, including the "hire by" date (the date by which employees must be hired to be eligible for merit) and the "merit start month" (the month when merit increases take effect). It provides a centralized way to set these assumptions, ensuring they are applied consistently across the workforce plan.

A. Workforce Assumptions: This option covers broader workforce settings (e.g., default hire dates, salary assumptions), but it does not specifically address merit eligibility or timing details like hire-by dates or merit start months.

C. Merit Rates: This pertains to defining the percentage or amount of merit increases, not the eligibility dates or start month for merit application.

D. Merit Month: While this might seem relevant, "Merit Month" is not a standalone option in Workforce. It is a setting typically configured within Merit Assumptions, not an independent feature.

The Merit Assumptions option is explicitly designed to handle these merit-specific configurations, making it the most suitable choice.

References

Oracle Enterprise Performance Management Cloud Documentation: "Administering Workforce – Merit Assumptions" (docs.oracle.com, updated 2024). States that "Merit Assumptions allow setting the hire-by date for merit eligibility and the merit start month."

Oracle Planning 2024 Implementation Study Guide: Confirms that Merit Assumptions is used to specify eligibility criteria and timing for merit increases in Workforce.

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, and Account. 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.

In Oracle Planning 2024’s Workforce module, certain configuration tasks are mandatory to enable basic functionality, while others are optional depending on the organization’s needs. The task that is not mandatory is:

A. Employee Type: Incorrect. Defining Employee Type (e.g., full-time, part-time) is mandatory because it establishes the categories of employees to be planned, forming the foundation of workforce data.

B. Planning and Forecast Preparation: Incorrect. This task is mandatory as it sets up the planning periods, scenarios, and versions, which are essential for Workforce to function within the broader Planning application.

C. Benefits and Taxes: Correct. Configuring Benefits and Taxes is optional. While Workforce provides predefined options to calculate benefits (e.g., health insurance) and taxes (e.g., payroll taxes), organizations can choose not to configure these if they do not need detailed compensation planning beyond salaries.

D. Workforce Assumptions: Incorrect. Workforce Assumptions (e.g., hiring rates, salary increases) are mandatory to drive calculations and populate employee data over time.

The Oracle documentation specifies that while Benefits and Taxes enhance Workforce planning, they are not required for core functionality, making C the non-mandatory task.

In Oracle Planning 2024, importing data from a file and saving the operation as a job involves specific steps and options. The two true statements about Import Data jobs are:

A. Reference a data file stored locally when creating the Import Data job: Incorrect. Oracle EPM Cloud does not allow referencing files stored locally on a user’s machine for Import Data jobs. Files must be uploaded to the cloud environment (e.g., Inbox) for processing.

B. Select the option to clear data before import: Correct. When configuring an Import Data job, you can choose to clear existing data in the target before importing new data. This option ensures a clean slate for the import, avoiding data duplication or overlap, and is a standard feature in the job setup.

C. Upload your data file to the Inbox before running the Import Data job: Correct. Oracle requires that data files be uploaded to the Inbox (or another cloud storage location like the Outbox) before scheduling or running an Import Data job. The job then references this uploaded file for execution.

D. Include the path for the data file stored on the server: Incorrect. While you specify a file name in the job definition, you do not manually include a server path. The system automatically manages file locations within the cloud environment (e.g., Inbox), and users select files from there, not via explicit server paths.

The documentation confirms that uploading the file to the Inbox and optionally clearing data are key aspects of setting up an Import Data job, making B and C the true statements.

In Oracle Planning 2024, Navigation Flows can be customized to tailor the user interface and experience based on specific categories. The three customization categories supported are Role, Group, and Global:

A. Role: Navigation Flows can be customized for specific user roles (e.g., Planner, Administrator), allowing different layouts or access to cards based on job functions.

C. Group: Customization can be applied to user groups, enabling administrators to assign tailored navigation flows to predefined sets of users based on their team or department.

E. Global: Global customization applies to all users across the application, serving as the default navigation flow unless overridden by Role or Group settings.

B. User: This is incorrect because Oracle Planning does not support navigation flow customization at the individual user level—customizations are broader, targeting roles or groups.

D. Artifact: This is incorrect because "Artifact" refers to application components (e.g., forms, rules) managed in migration, not a category for navigation flow customization.

The Oracle documentation confirms that Role, Group, and Global are the three levels at which navigation flows can be customized, providing flexibility in how users interact with the Planning application.

In Oracle Planning 2024, configuring Insights with Auto Predict allows users to analyze past and predicted data to uncover patterns and insights. Oracle provides specific guidelines to ensure effective implementation:

A. For future data, create a new insight by leveraging templates that include insight definitions: Incorrect. While templates can be used to set up Insights, this is not a specific Oracle guideline for implementing Auto Predict. Auto Predict relies on historical data and predictive algorithms, not predefined insight templates for future data.

B. For historical data, there should be at least twice the amount of historical data as the number of prediction periods: Correct. Oracle recommends having sufficient historical data—specifically, at least twice the number of periods you intend to predict—to ensure the accuracy of Auto Predict’s machine learning algorithms. For example, predicting 12 months requires at least 24 months of historical data.

C. For historical data, create the Insights job using the lowest level of Period members possible so that the greatest amount of historical data can be used: Incorrect. While granularity matters, Oracle does not mandate using the lowest level of Period members (e.g., days instead of months) as a guideline. The focus is on the quantity of historical data, not necessarily the lowest level of aggregation.

D. For future data, first run predictions in a test environment to ensure there is no impact on production data: Correct. Oracle advises testing Auto Predict in a non-production environment to validate results and avoid unintended impacts on live data, aligning with best practices for predictive analytics deployment.

The two guidelines—B and D—are explicitly outlined in Oracle’s documentation for Insights and Auto Predict to ensure reliable predictions and safe implementation.