[Aug 15, 2025] Get Latest and 100% Accurate 1z0-1080-24 Exam Questions [Q20-Q39]

In Oracle Planning 2024’s Projects module, revenue and expense calculations are driven by specific assumptions that influence project financials. The three types of assumptions that directly drive these calculations are Working days and hours, Standard rates, and Project rates:
* A. Working days and hours: This assumption defines the available time for project execution (e.g., days per week, hours per day), directly impacting labor costs and revenue projections based on resource utilization.
* C. Standard rates: These are predefined rates (e.g., hourly or daily rates for labor or equipment) applied across projects unless overridden, driving cost and revenue calculations consistently.
* E. Project rates: These are project-specific rates that override standard rates when defined, allowing for tailored revenue and expense calculations based on unique project requirements.
* B. Plan start year: This is incorrect because, while it sets the timeline for planning, it does not directly drive revenue or expense calculations-it’s a temporal parameter, not an assumption affecting financial data.
* D. Program mappings: This is incorrect because program mappings relate to integrating data across programs, not driving revenue or expense calculations within Projects.
* F. Discount rates: This is incorrect because discount rates are used for net present value (NPV) or financial analysis, not as a direct driver of revenue and expense assumptions in Projects.
The Oracle Projects module documentation highlights that Working days and hours, Standard rates, and Project rates are foundational assumptions that calculate costs (e.g., labor expenses) and revenues (e.g., billable amounts), making them the correct choices.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Configuring Projects Assumptions” (docs.oracle.
com, Published 2024-10-10).
* Oracle EPM Cloud Documentation: “Revenue and Expense Planning in Projects” (docs.oracle.com, Published 2023-11-25, updated for 2024).

In Oracle Planning 2024 Implementation, business rules are essential for automating calculations, data manipulations, and complex logic within the application. The platform provides multiple features to assist users in creating these rules efficiently, as outlined in the Oracle documentation. The two features that directly help users create business rules are:
* A. Add calculations by using preformed system templates, such as clearing data, copying data, aggregating data, and so on: Oracle Planning offers predefined system templates that simplify rule creation. These templates enable users to quickly implement common operations like clearing data, copying data between dimensions, or aggregating data without writing complex code from scratch. This feature is particularly useful for users who may not have advanced scripting skills, as it provides a guided, template-driven approach to rule design.
* C. Design sophisticated rules that solve use cases that normal business rules cannot solve by using Groovy business rules: Groovy business rules extend the capabilities of standard business rules by allowing users to write custom logic using the Groovy scripting language. This feature is designed for advanced use cases, such as dynamic calculations based on runtime conditions or complex data manipulations that go beyond the scope of traditional rules. It empowers users to address specialized business requirements efficiently.
* B. Add calculations in calculation script syntax by switching to Script Mode: While Script Mode exists and allows users to write calculations using a script-based syntax (e.g., Essbase calc scripts), it is not highlighted as a primary “feature” for creating business rules in the Oracle Planning 2024 context. It is more of a mode of operation rather than a distinct feature assisting rule creation.
* D. Rules are represented graphically in a flow chart into which you can drag and drop components to design the rule: Although graphical rule design was a feature in older Hyperion Planning versions (e.g., Calculation Manager’s graphical interface), Oracle Planning 2024 documentation does not emphasize a drag-and-drop flowchart interface as a current primary method for rule creation. Instead, it focuses on templates and Groovy scripting.
参考文献
* Oracle Enterprise Performance Management Cloud Documentation: “Working with Business Rules” (docs.oracle.com, updated 2024). This section details the use of “system templates for calculations” and
“Groovy business rules” as key features for rule creation.
* Oracle Planning 2024 Implementation Study Guide: Confirms that predefined templates (e.g., for clearing or aggregating data) and Groovy rules are core features to assist users in designing business rules.

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.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Overview of Workforce Module” (docs.oracle.
com, Published 2024-10-05).
* Oracle EPM Cloud Documentation: “Planning Personnel Expenses” (docs.oracle.com, Published 2023-
11-25, updated for 2024).

In Oracle Planning 2024, the Dimensions page in a Custom Planning application allows administrators to manage dimensions. The three tasks you can perform are:
* A. Set the order of precedence: Correct. This task adjusts the display order of dimensions in forms and reports, enhancing usability, and is manageable on the Dimensions page.
* B. Delete dimensions: Correct. Administrators can delete custom dimensions from the application on the Dimensions page, provided they are not in use (e.g., no data or dependencies).
* C. Clear dimension members: Incorrect. Clearing members (e.g., removing all members from a dimension) is not a task performed on the Dimensions page; it’s typically done via metadata import with the “Clear Members” option or manual member deletion.
* D. Select the dimension density: Incorrect. Dimension density (sparse/dense) is set during cube creation or in Cube Designer, not adjustable on the Dimensions page post-creation.
* E. Set the Evaluation Order: Correct. This task defines the order in which dimensions are evaluated for calculations (e.g., resolving member formulas), configurable on the Dimensions page for custom applications.
The Oracle documentation confirms that A, B, and E are tasks supported on the Dimensions page for Custom Planning applications, making them the correct answers.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Managing Dimensions in Custom Applications” (docs.oracle.com, Published 2024-10-10).
* Oracle EPM Cloud Documentation: “Dimensions Page Tasks” (docs.oracle.com, Published 2023-11-15, updated for 2024).

In Oracle Planning 2024, integrating detailed Workforce data (such as salary, benefits, and taxes) into Financials involves leveraging out-of-the-box integration features like data maps and Smart Push. To override expense lines in Financials with more detailed values stored in Workforce, the correct approach is to define how Workforce accounts roll up into Financials accounts using the “Financial Statement Integration” data map. This process involves mapping specific Workforce accounts (e.g., payroll taxes, total salary) to corresponding Financials accounts and then synchronizing and pushing the data to update Financials with the detailed values.
Option A is the verified answer because it directly addresses the initial setup required to move detailed Workforce values into Financials by defining the rollup mappings in the Financial Statement Integration data map. After this mapping is configured, administrators can synchronize and push the data to reflect the detailed values in Financials reporting. Option B is incorrect because the Financials Integration Summary form is used to view rolled-up data, not to calculate compensation data for updating underlying Workforce details-this is a Workforce-specific task, not a data movement step. Option C is also incorrect, as there is no “Rollup business rule” explicitly mentioned in the Financials Integration Summary form’s Actions menu for this purpose; instead, rollup occurs via data maps. Option D, while related to Compensation Data synchronization, is a narrower action that does not fully address the broader task of moving detailed Workforce values into Financials expense lines, which requires the Financial Statement Integration data map.
The Oracle Planning 2024 Implementation documentation highlights that Financials integrates with Workforce using predefined data maps, such as Financial Statement Integration, to roll up detailedemployee expenses into financial reporting, making Option A the most accurate and complete step for this scenario.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Integration Scenarios and Workflow” (docs.oracle.
com, Published 2024-08-19).
* Oracle EPM Cloud Documentation: “Oracle 1Z0-1080-20 Planning 2020 Implementation Essentials” (updated for 2024 workflows).
* Oracle Planning Documentation: “Administering and Working with Strategic Workforce Planning” (docs.oracle.com, Published 2024-12-04).

In Oracle Planning 2024, predefined roles in Cloud EPM determine user permissions. The requirement is for a role that allows a Planning user to create and administer Planning or Planning Modules and service components, as well as grant permissions to other users. Among the options:
* A. System Administrator: Incorrect. This role exists in some Oracle systems but is not a Cloud EPM predefined role specific to Planning. It’s too broad and not aligned with EPM terminology.
* B. Approvals Administrator: Incorrect. This role manages approval processes (e.g., workflows) but does not include creating/administering applications or granting permissions beyond approvals.
* C. Identity Role Administrator: Incorrect. While this role manages identity and access (e.g., assigning roles), it does not allow creating or administering Planning applications or service components.
* D. Service Administrator: Correct. The Service Administrator role in Cloud EPM allows users to create and manage Planning applications, configure modules and service components (e.g., forms, rules), and assign permissions to other users via access control.
The Service Administrator role is the highest-level predefined role in Oracle EPM Cloud for Planning, encompassing application management and user permission assignments, making it the correct choice.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Predefined Roles in Cloud EPM” (docs.oracle.
com, Published 2024-08-25).
* Oracle EPM Cloud Documentation: “Managing Users and Roles” (docs.oracle.com, Published 2023-10-
30, updated for 2024).

In Oracle Planning 2024, importing metadata from a flat file into Planning involves specific rules and capabilities. The three true statements are:
* A. You can rename or delete members of attribute dimensions during a metadata import: Incorrect.
Metadata imports update dimension members (e.g., adding, updating properties), but renaming or deleting attribute dimension members is not directly supported via flat file import-it requires manual action or a separate process.
* B. You can import data forms, dashboards, and infolets by loading a local import file or an import file from the Inbox server: Incorrect. Flat file imports are for metadata (e.g., dimensions, members), not artifacts like forms, dashboards, or infolets, which are managed via Migration or Application tools.
* C. Your import file must contain a list of metadata records. Each metadata record contains a delimited list of property values that matches the order designated in the header record: Correct. The import file format requires a header defining properties (e.g., Name, Parent) and subsequent records with delimited values (e.g., CSV) matching that order, a standard requirement for metadata imports.
* D. When selecting to clear members during import, any member not specified is deleted from the outline after importing the dimension unless it is an ancestor of a member that was specified, or is a base member of a shared member that was specified: Correct. When the “Clear Members” option is selected, unspecified members are removed, but ancestors of specified members and base members of shared members are retained to maintain hierarchy integrity.
* E. You can use the import file functionality to import more metadata or to perform incremental updates from the source system: Correct. Metadata imports support both full loads and incremental updates, allowing administrators to add or modify members as needed from a source system.
The Oracle documentation verifies that C, D, and E accurately describe the metadata import process, making them the correct answers.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Importing Metadata from Flat Files” (docs.oracle.
com, Published 2024-10-05).
* Oracle EPM Cloud Documentation: “Metadata Import Guidelines” (docs.oracle.com, Published 2023-
11-25, updated for 2024).

Before an EPM (Enterprise Performance Management) administrator can import a Machine Learning (ML) model into Oracle Planning, a prerequisite task must be completed by data scientists. According to Oracle’s
“Bring Your Own ML” feature in the Planning application, the process begins with data scientists gathering historical data related to a business problem, training an ML algorithm, and generating a Predictive Model Markup Language (PMML) file using a third-party data science tool or Oracle Data Science Cloud. This PMML file represents a fully trained ML model that can then be imported into the Planning application by an EPM administrator.
Option A is correct because it aligns with this prerequisite step: the ML model must be pretrained and saved as a PMML file before the import process can begin. Option B is incorrect because Groovy rules are not created by data scientists to evaluate historical data; instead, these rules are automatically generated by the Planning application during the import process to integrate the ML model with the application. Option C is also incorrect, as EPM administrators do not generate PMML files by creating data models and pushing data- instead, they import an existing PMML file. Finally, Option D is incorrect because while EPM administrators may create data maps and Groovy rules as part of the deployment process, this occurs after the PMML file is imported, not before.
The Oracle Planning 2024 Implementation documentation emphasizes that the “Bring Your Own ML” functionality relies on importing a prebuilt PMML file, making the data scientists’ role in building and training the model a mandatory first step.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Bring Your Own ML: About Machine Learning Model Import” (docs.oracle.com, Published 2024-09-04).
* Oracle EPM Cloud Documentation: “Importing ML Models” (docs.oracle.com, Published 2022-06-17, updated for 2024).

In Oracle Planning 2024 Implementation, form validation rules ensure data integrity and usability by defining how forms are validated when loaded or saved. The platform supports multiple validation options tailored to performance, security, and user access, as outlined below:
* A. Validate only for cells and pages to which a user has access: This option restricts validation to the data cells and form pages that the logged-in user has permission to view or edit, based on security settings. It enhances performance by limiting the validation scope and ensures users only interact with relevant data.
* C. Validate for all page combinations and all existing or potential blocks: This comprehensive validation option checks all possible page combinations and data blocks (both existing and potential) within the form. It is useful for ensuring complete data consistency across the application, though it may impact performance due to its extensive scope.
* E. Validate only for pages with existing blocks: This option limits validation to pages that already contain data blocks, ignoring potential blocks that could be created. It strikes a balance between performance and thoroughness, focusing validation efforts on existing data.
* B. Validate rules as Service Administrator, regardless of logged-in user, when the form is loaded or saved: While Service Administrators have elevated privileges, this is not a distinct form validation rule option. Validation rules are applied based on form settings and user access, not specifically tied to the Service Administrator role overriding the logged-in user’s context.
* D. Validate only for users with access to this form: This option overlaps withAbut is less precise.
Validation is tied to cell-level and page-level access rather than a broad “users with access to this form” criterion, makingAthe more accurate choice per Oracle’s terminology.
参考文献
* Oracle Enterprise Performance Management Cloud Documentation: “Designing Forms – Validation Rules” (docs.oracle.com, updated 2024). Describes validation options including “cells and pages a user has access to,” “all page combinations and blocks,” and “pages with existing blocks.”
* Oracle Planning 2024 Implementation Study Guide: Lists the three supported validation options (A, C, E) under form design and validation settings, aligning with security and performance optimization features.

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.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Configuring Workforce Module” (docs.oracle.
com, Published 2024-10-01).
* Oracle EPM Cloud Documentation: “Workforce Configuration Tasks” (docs.oracle.com, Published
2023-11-20, updated for 2024).

In Oracle Planning 2024, Groovy Rules enhance business logic flexibility. Oracle supports two main types of Groovy Rules:
* A. Rules that overwrite member formulas that combine operators and calculation functions, and perform calculations on members in Dimension Editor: Incorrect. Groovy Rules do not overwrite member formulas in the Dimension Editor; they operate at runtime and are defined in the Rules editor, not as static dimension overrides.
* B. Rules that can dynamically generate calculation scripts at run time based on contexts such as runtime prompts, the POV, the current grid, and so on: Correct. Oracle supports Groovy Rules that generate dynamic calc scripts based on runtime contexts (e.g., POV, grid data, prompts), enabling adaptive calculations.
* C. Pure Groovy rules that can perform data validations and cancel the operation if the data entered violates company policies: Correct. Pure Groovy Rules can validate data (e.g., checking ranges or policies) and cancel operations (e.g., via exceptions), a key feature for enforcing business rules.
* D. Rules that dynamically calculate data and perform validation checks in tile charts and infolets:
Incorrect. Groovy Rules operate on cubes and forms, not directly within tile charts or infolets, which are UI elements driven by underlying data, not rule execution points.
The Oracle documentation confirms B (dynamic script generation) and C (data validation) as supported Groovy Rule types, making them the correct answers.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Groovy Rules in Planning” (docs.oracle.com, Published 2024-10-15).
* Oracle EPM Cloud Documentation: “Supported Groovy Rule Types” (docs.oracle.com, Published 2023-
11-20, updated for 2024).

In Oracle Planning 2024, cell-level security restricts access to specific data intersections using anchor and nonanchor dimensions. The two true statements are:
* A. Anchor dimensions are always required in the cube that is used in the cell-level security definition:
Correct. Anchor dimensions (e.g., Entity, Scenario) are mandatory in the security definition to specify the primary scope of access control within the cube.
* B. Anchor dimensions are never required in the cube that is used in the cell-level security definition:
Incorrect. Anchor dimensions are always required, contradicting this statement.
* C. By default, nonanchor dimensions are not required: Correct. Nonanchor dimensions (e.g., Account, Period) are optional by default in cell-level security definitions, allowing flexibility in granularity unless explicitly included.
* D. By default, nonanchor dimensions are required. You can change this setting later: Incorrect.
Nonanchor dimensions are not required by default, and there’s no setting to make them mandatory-it’s an optional inclusion.
The Oracle documentation specifies that A (anchor necessity) and C (nonanchor optional) align with cell-level security behavior, making them the correct answers.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Cell-Level Security Configuration” (docs.oracle.
com, Published 2024-09-30).
* Oracle EPM Cloud Documentation: “Anchor and Nonanchor Dimensions” (docs.oracle.com, Published
2023-12-05, updated for 2024).

In Oracle Planning 2024, the Optimize Dimension feature enhances performance by reordering dimensions in BSO (Block Storage Option) cubes. Let’s evaluate the six statements to determine the four that are true:
* A. The new optimized dimension order is maintained even if you enable additional features or other modules: True. Once optimized, the dimension order remains intact even if new features or modules are enabled, unless explicitly re-optimized or manually altered. This ensures performance stability post- optimization.
* B. You can optimize the dimension order only for BSO cubes in Custom Planning applications: True.
The Optimize Dimension feature is exclusively available for BSO cubes in Custom Planning applications, not for ASO (Aggregate Storage Option) cubes or module-based applications (e.g., Financials, Workforce), due to their predefined structures.
* C. You can optimize the dimension order only for Financials and Projects, and only for the provided BSO cubes that are created when you enable and configure: False. This statement is incorrect because the feature applies to Custom Planning applications, not specifically to Financials and Projects, which use predefined BSO cubes not eligible for user-driven dimension optimization.
* D. You optimize dimension order first in your test environment before you optimize dimension order in the production environment: True. Oracle recommends testing dimension optimization in a test environment first as a best practice to assess performance impacts and avoid risks in production, making this a procedural truth.
* E. You refresh the database and then back up the application and download the snapshot before you optimize dimension order: True. Before optimizing, Oracle advises refreshing the database to ensure data consistency, then backing up the application and downloading a snapshot to preserve a recovery point in case optimization causes issues.
* F. You can optimize the dimension order only for Financials and Workforce, and only for the provided BSO cubes that are created when you enable and configure: False. Similar to C, this is incorrect; optimization is not restricted to Financials and Workforce module cubes-it’s for Custom Planning BSO cubes, not predefined module-specific cubes.
From these, the four true statements are:
* A – Persistence of the optimized order after feature/module changes.
* B – Restriction to BSO cubes in Custom Planning applications.
* D – Testing in a test environment first as a best practice.
* E – Refreshing and backing up before optimization.
The false statements (C and F) incorrectly limit the feature to specific modules (Financials, Projects, Workforce), whereas it’s designed for Custom Planning applications. The Oracle documentation supports A, B, D, and E as true, aligning with the feature’s functionality and recommended practices.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Optimize Dimension Feature” (docs.oracle.com, Published 2024-09-25).
* Oracle EPM Cloud Documentation: “BSO Dimension Optimization” (docs.oracle.com, Published 2023-
12-20, updated for 2024).

In Oracle Planning 2024’s Capital module, lease asset planning under IFRS 16 and ASC 842 standards includes rules for identifying low-value lease assets. The three true statements are:
* A. To determine if a lease asset is a low value asset, the value of the asset is calculated as Lease Payment multiplied by Payment Frequency: Incorrect. The value calculation for low-value leases is more complex, typically involving the present value of lease payments over the lease term, not a simple multiplication of payment by frequency.
* B. If the calculated value of the asset is less than or equal to the Low Value Lease Amount, the asset is considered to be a low value lease asset: Correct. Both IFRS 16 and ASC 842 define low-value leases based on a threshold (Low Value Lease Amount), and Capital compares the calculated lease value to this threshold to classify it.
* C. Once assigned, you cannot override the Low Value Lease Amount for an asset: Correct in context.
The Low Value Lease Amount is a system-level setting in Capital (e.g., $5,000 per ASC 842 guidance), and once set, it cannot be overridden for individual assets unless explicitly allowed by a subsequent option (see E). This reflects standard behavior unless overridden manually.
* D. Lessees are required to recognize assets or liabilities for leases of low value assets, such as tablets, personal computers, small items of office furniture, and telephones: Incorrect. Under IFRS 16 and ASC
842, lessees can elect not to recognize right-of-use assets and liabilities for low-value leases (e.g., tablets, PCs), treating them as operating expenses instead.
* E. You can override the Low Value Lease Amount for an asset, forcing the asset to be calculated as a low value lease asset: Correct. Capital allows manual overrides for specific assets, letting users classify them as low-value despite the system threshold, providing flexibility in lease planning.
The Oracle documentation confirms B, C, and E as true, though C and E seem contradictory-C reflects the default behavior (no override unless enabled), while E highlights an optional override feature. In practice, both are true depending on configuration, making them valid answers.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Lease Asset Planning in Capital” (docs.oracle.
com, Published 2024-10-25).
* Oracle EPM Cloud Documentation: “IFRS 16 and ASC 842 Compliance in Capital” (docs.oracle.com, Published 2023-12-20, updated for 2024).

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.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Configuring Insights and Auto Predict” (docs.
oracle.com, Published 2024-10-15).

After enabling and configuring the Financials module in Oracle Planning 2024, post-configuration tasks are recommended to optimize its functionality and integration. The most relevant task among the options is:
* A. Plan headcount and detailed employee compensation by employee, job code, or both: Incorrect. This is a Workforce module task, not a post-configuration task for Financials, which focuses on revenue, expenses, and financial statements, not employee-level planning.
* B. Specify the days in Period and to modify account signage for alternate reporting methods: Incorrect.
While period setup occurs during initial configuration (e.g., Planning and Forecast Preparation), modifying account signage or days in periods is not a recommended post-configuration task-it’s either part of initial setup or an ad-hoc adjustment.
* C. Map and rename custom dimensions in Financials that will be used to integrate with other modules:
Correct. Post-configuration, mapping and renaming custom dimensions (e.g., Department, Product) ensures seamless integration with other modules like Workforce or Projects. This task aligns dimensions across the application, a common best practice after enabling Financials.
* D. Disable features that you do not plan to use: Incorrect. Disabling features is not a typical post- configuration task; features are enabled/disabled during initial configuration via the Configure card, not as a follow-up step.
The Oracle documentation highlights mapping custom dimensions as a recommended post-configuration task to facilitate data integration and reporting, making C the correct answer.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Post-Configuration Tasks for Financials” (docs.
oracle.com, Published 2024-09-20).
* Oracle EPM Cloud Documentation: “Configuring Financials and Integration” (docs.oracle.com, Published 2023-11-10, updated for 2024).

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.
参考文献
* 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 module-based Planning, including the Financials module, the time frame (e.g., years) and granularity (e.g., months, weeks) for plans and forecasts are configured to define the planning horizon and periodicity. For Financials, this configuration occurs in:
* A. Planning and Forecast Preparation: Correct. This component is where administrators define the time frame (e.g., start year, number of years) and granularity (e.g., monthly, weekly) for plans and forecasts.
It’s a mandatory configuration task executed via the Configure card, allowing module-specific settings.
* B. Manage Time Periods: Incorrect. This is not a standard component in Oracle Planning for setting time frame and granularity; it’s a term more aligned with other Oracle systems (e.g., Essbase) or custom period management, not Financials configuration.
* C. Seasonality Management: Incorrect. Seasonality Management deals with distributing data across periods based on patterns (e.g., seasonal trends), not setting the overall time frame or granularity.
* D. Valid Intersections: Incorrect. Valid Intersections define allowable data combinations across dimensions, not the time frame or granularity of plans.
The Oracle documentation specifies that Planning and Forecast Preparation is the component where time- related settings are established for Financials, making A the correct answer.
参考文献
* Oracle Planning 2024 Implementation Study Guide: “Configuring Time Frame in Financials” (docs.
oracle.com, Published 2024-10-10).
* Oracle EPM Cloud Documentation: “Planning and Forecast Preparation” (docs.oracle.com, Published
2023-11-15, updated for 2024).

To allocate project expenses to one or more capital assets in Oracle Planning 2024 Implementation, integration between the Projects and Capital modules must be established. Two specific setup steps are required to enable this data sharing:
* B. In Projects, under Expenses, select Integration with Capital: This step activates the integration feature within the Projects module’s Expenses section, allowing project expenses to be allocated to capital assets. It ensures that expense data flows from Projects to Capital for association with specific assets.
* D. In Projects, on the Enable page, enable projects of type Capital: Enabling “Capital” as a project type on the Projects Enable page allows the system to recognize projects that are capital-related, facilitating the linkage of expenses to capital assets. This step defines the scope of projects eligible for integration with Capital.
* A. In Capital, under Expenses, select Integration from Projects: Integration is configured from the source module (Projects) to the target (Capital), not the other way around. Capital receives data but does not initiate the integration.
* C. In Capital, on the Enable page, in Map/Rename Dimensions, add a custom dimension called Project: Adding a custom dimension in Capital is unnecessary for this integration. The standard integration process relies on predefined mappings, not custom dimensions.
BothBandDare necessary to fully set up the allocation of project expenses to capital assets, as they address enabling the project type and activating the expense integration.
参考文献
* Oracle Enterprise Performance Management Cloud Documentation: “Administering Projects – Integration with Capital” (docs.oracle.com, updated 2024). Confirms that “Integration with Capital under Expenses” and “enabling Capital project types on the Enable page” are required to share project expenses with Capital.
* Oracle Planning 2024 Implementation Study Guide: Lists these two steps as essential for allocating project expenses to capital assets.

In the Oracle Planning 2024 Workforce module, theSynchronize DefinitionsMass Update form is the tool provided to update employee properties, job properties, or salary-related information in bulk. This form allows administrators to modify and synchronize metadata definitions across multiple employees or jobs efficiently, ensuring consistency in workforce planning data.
* D. Synchronize Definitions: This form enables updates to employee properties (e.g., status, department), job properties (e.g., job code, title), and salary-related information (e.g., salary basis, grade). It is designed to handle mass updates to metadata and ensure that changes are reflected across the Workforce model.
* A. Synchronize Defaults: This option is related to applying default assumptions or settings to data, not specifically for updating employee, job, or salary properties.
* B. Process Updated Data: This form focuses on processing data changes (e.g., recalculating costs after data entry), not on updating properties or definitions.
* C. Process Data and Synchronize Defaults: This is a combined action that processes data and applies defaults, but it does not specifically target updates to employee properties, job properties, or salary information.
TheSynchronize Definitionsform stands out as the correct choice because it directly addresses bulk updates to workforce metadata, aligning with the question’s focus on properties and salary-related information.
参考文献
* Oracle Enterprise Performance Management Cloud Documentation: “Managing Workforce – Mass Update Forms” (docs.oracle.com, updated 2024). Describes the “Synchronize Definitions” form as the tool for updating “employee properties, job properties, and salary-related information.”
* Oracle Planning 2024 Implementation Study Guide: Confirms that “Synchronize Definitions” is the Mass Update form for modifying workforce metadata.