Which three form validation rules options are supported in Planning?
Validate only for cells and pages to which a user has access
Validate rules as Service Administrator, regardless of logged-in user, when the form is loaded or saved
Validate for all page combinations and all existing or potential blocks
Validate only for users with access to this form
Validate only for pages with existing blocks
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.
References
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 Workforce, you want to set a date by which existing employees must be hired to be eligible to receive merit. You also want to specify the month in which merit should start.
Which option should you enable for this?
Workforce Assumptions
Merit Assumptions
Merit Rates
Merit Month
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. TheMerit Assumptionsoption 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.
TheMerit Assumptionsoption 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.
Which three statements are true about importing metadata from a flat file into Planning?
You can rename or delete members of attribute dimensions during a metadata import.
You can import data forms, dashboards, and infolets by loading a local import file or an import file from the Inbox server.
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.
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.
You can use the import file functionality to import more metadata or to perform incremental updates from the source system.
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.
References:
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).
You want to develop your forecast with Forms 2.0. Which statement about Forms 2.0 setup is true?
Set up Forms 2.0 in your environment one time and it will work with all your applications.
Switch between Forms 1.0 and Forms 2.0 by selecting the Forms Version in Application Settings.
Redesign forms 1.0 forms so that they are set up to work with Forms 2.0.
Migrate the forms you want to work with in Forms 2.0 from Forms 1.0 to Forms 2.0.
In Oracle Planning 2024 Implementation, Forms 2.0 represents an enhanced version of the form design and functionality framework compared to Forms 1.0. To develop forecasts using Forms 2.0, existing forms must be transitioned from the older version to the newer one, as they are not automatically compatible or universally enabled.
D. Migrate the forms you want to work with in Forms 2.0 from Forms 1.0 to Forms 2.0: This is the correct statement. Oracle provides a migration process to convert Forms 1.0 forms to Forms 2.0, enabling users to leverage the advanced features of Forms 2.0 (e.g., improved navigation, dynamic rows/columns, and enhanced usability). This migration is selective, meaning only the forms you choose to use with Forms 2.0 need to be migrated, and it is not a one-time global setup.
A. Set up Forms 2.0 in your environment one time and it will work with all your applications: Forms 2.0 is not a one-time environment-wide setup. It requires specific forms to be migrated or designed for Forms 2.0 compatibility, and not all applications automatically adopt it.
B. Switch between Forms 1.0 and Forms 2.0 by selecting the Forms Version in Application Settings: There is no such toggle in Application Settings to switch between Forms 1.0 and Forms 2.0. The transition to Forms 2.0 involves migration rather than a simple version switch.
C. Redesign forms 1.0 forms so that they are set up to work with Forms 2.0: While redesigning is an option for creating new Forms 2.0-compatible forms, the standard process for existing forms is migration, not a complete redesign from scratch. Migration preserves the form structure while adapting it to Forms 2.0.
The migration process ensures that users can take advantage of Forms 2.0’s capabilities while maintaining continuity with existing form designs, aligning with Oracle’s recommended approach.
References
Oracle Enterprise Performance Management Cloud Documentation: "Working with Forms – Forms 2.0" (docs.oracle.com, updated 2024). States that "to use Forms 2.0, migrate existing Forms 1.0 forms to Forms 2.0 using the provided migration tools."
Oracle Planning 2024 Implementation Study Guide: Confirms that migrating Forms 1.0 to Forms 2.0 is the true setup process for leveraging Forms 2.0 in forecasting.
What two levels of workforce detail granularity would you need to perform Merit-Based Planning?
Merit
Employee and Job
Job
Employee
In Oracle Planning 2024’s Workforce module, Merit-Based Planning involves planning salary increases or adjustments based on employee performance (merit). To perform this, you need workforce data at a level of granularity that includes individual employee details. The two levels required are:
A. Merit: Incorrect. "Merit" is not a granularity level; it’s a planning concept or assumption applied to employee data, not a structural level of detail.
B. Employee and Job: Correct. This level combines employee-specific data (e.g., individual identity) with job-specific data (e.g., role, grade), enabling merit-based adjustments tailored to both the person and their position.
C. Job: Incorrect. Job-level granularity (e.g., aggregated data for a role) lacks individual employee details, which are necessary for merit-based planning.
D. Employee: Correct. Employee-level granularity provides the individual data (e.g., current salary, performance rating) needed to calculate merit increases for specific employees.
Merit-Based Planning requires at least Employee-level detail, and often Employee and Job for more precise planning (e.g., tying merit to job roles or grades). The Oracle documentation confirms these as the key granularity levels for this functionality, making B and D the correct answers.
References:
Oracle Planning 2024 Implementation Study Guide: "Merit-Based Planning in Workforce" (docs.oracle.com, Published 2024-10-10).
Oracle EPM Cloud Documentation: "Workforce Granularity Levels" (docs.oracle.com, Published 2023-11-15, updated for 2024).
You want to analyze past data and predicted data to help you find patterns and insights into data that you might not have found on your own. To accomplish this, you configure Insights with Auto Predict.
Which two are Oracle EPM guidelines for implementing Insights and Auto Predict?
For future data, create a new insight by leveraging templates that include insight definitions.
For historical data, there should be atleast twice the amount of historical data as the number of prediction periods.
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.
For future data, first run predictions in a test environment to ensure there is no impact on production data.
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.
References:
Oracle Planning 2024 Implementation Study Guide: "Configuring Insights and Auto Predict" (docs.oracle.com, Published 2024-10-15).
With Machine Learning, which type of prediction would you define to predict revenue using several input variables such as price, promotions, industry market size, and climate?
Dimension Prediction
Source Prediction
Forecast Prediction
Multivariate Prediction
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).
Which three types of revenue and expense assumptions drive data calculations in Projects?
Working days and hours
Plan start year
Standard rates
Program mappings
Project rates
Discount rates
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.
References:
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 module-based Planning, you can configure the time frame and granularity for plans, and the forecast for each module. You can have a different time frame and granularity for each module and year.
When configuring Financials, in which component would you configure the time frame and granularity for plans?
Planning and Forecast Preparation
Manage Time Periods
Seasonality Management
Valid Intersections
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.
References:
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).
Your administrator creates a Pipeline definition to manage metadata, and data for your Planning application. Which statement about pipelines is true?
Develop pipelines to guide you through the Planning process.
Use pipelines as a visible, automated, and repeatable system of record for running an application.
Use pipelines to coordinate the running of a series of jobs as a single process.
Quickly drill into data slices that are important to you with pipelines.
In Oracle Planning 2024, a Pipeline is a feature that allows administrators to define and automate a sequence of jobs (e.g., data imports, metadata updates, calculations) as a single, coordinated process.Pipelines streamline the management of metadata and data by executing multiple tasks in a specified order, ensuring dependencies are met, and providing a repeatable workflow for maintaining the Planning application.
A. Develop pipelines to guide you through the Planning process: Incorrect. Pipelines are not a planning guide; they are an automation tool for executing jobs, not a process framework.
B. Use pipelines as a visible, automated, and repeatable system of record for running an application: Incorrect. While pipelines are automated and repeatable, they are not a "system of record" for running the entire application—they focus on specific job sequences.
C. Use pipelines to coordinate the running of a series of jobs as a single process: Correct. This aligns with the Oracle definition of pipelines, which orchestrate multiple jobs (e.g., import data, refresh database) into one executable process.
D. Quickly drill into data slices that are important to you with pipelines: Incorrect. Pipelines are not designed for data analysis or drilling into data slices; they are for job automation.
The Oracle documentation emphasizes that pipelines are used to manage and execute a series of jobs efficiently, making C the true statement.
References:
Oracle Planning 2024 Implementation Study Guide: "Working with Pipelines" (docs.oracle.com, Published 2024-10-05).
Oracle EPM Cloud Documentation: "Automating Tasks with Pipelines" (docs.oracle.com, Published 2023-11-30, updated for 2024).
Which task must be completed before EPM administrators import a Machine Learning model into Planning?
Data Scientists build and train the ML model in a data science tool and save it as a PMML file.
Data Scientists create Groovy rules designed to evaluate historical data and identify patterns.
EPM Administrators create a data model and push data to it to generate a PMML file.
EPM Administrators create data maps and Groovy rules to move and process data.
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.
References:
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).
Which item CANNOT be pushed between cubes using data maps?
Comments
Attachments
Data change history
Supporting detail
In Oracle Planning 2024, data maps with Smart Push or manual execution can push various types of data between cubes within the same application or across applications. However, not all items can be transferred. The item that cannot be pushed is:
A. Comments: Incorrect. Comments (cell-level annotations) can be pushed between cubes using data maps, provided the mappings include the necessary dimensions.
B. Attachments: Incorrect. Attachments linked to data cells can be transferred via data maps, as long as the target cube supports them and the mapping is configured correctly.
C. Data change history: Correct. Data change history (audit trails tracking who changed what and when) is not transferable via data maps. It is metadata tied to the source cube’s audit log, not a pushable data element.
D. Supporting detail: Incorrect. Supporting detail (breakdowns of aggregated values) can be pushed between cubes if the target cube is configured to accept it and the mapping includes it.
The Oracle documentation specifies that data change history is excluded from data map transfers, as it’s a system-maintained log, not a user-editable or movable data type, making C the correct answer.
References:
Oracle Planning 2024 Implementation Study Guide: "Data Maps and Pushable Items" (docs.oracle.com, Published 2024-10-05).
Oracle EPM Cloud Documentation: "Smart Push Capabilities" (docs.oracle.com, Published 2023-12-15, updated for 2024).
You want to allocate project expenses to one or more capital assets.
Which two statements describe what you need to set up in Projects or Capital to share the data?
In Capital, under Expenses, select Integration from Projects.
In Projects, under Expenses, select Integration with Capital.
In Capital, on the Enable page, in Map/Rename Dimensions, add a custom dimension called Project.
In Projects, on the Enable page, enable projects of type Capital.
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.
References
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.
You want to budget for future headcount and related personnel expenses such as salary, benefits, and taxes. Which module do you enable and configure to budget for these expenses?
Financials
Strategic Modeling
Sales Planning
Workforce
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.
References:
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).
Which statement describes Strategic Modeling?
It is used to model the flow of data by defining strategic rules for sharing data between modules.
It is used to develop driver-based strategic plans and generate core financial statements.
It is used to strategically manage and analyze finances at any business level with built-in dashboards.
It is used to quickly model and evaluate financial scenarios, and offers out-of-the-box treasury capabilities.
Strategic Modeling in Oracle Planning 2024 is a module designed to enable rapid modeling and evaluation of financial scenarios, such as mergers, acquisitions, or long-term strategic plans. It provides a flexible framework for simulating "what-if" scenarios and includes out-of-the-box treasury capabilities,such as cash flow forecasting, debt scheduling, and interest rate calculations, which are critical for strategic financial planning.
A. It is used to model the flow of data by defining strategic rules for sharing data between modules: Incorrect. This describes data integration (e.g., via data maps), not Strategic Modeling, which focuses on scenario analysis.
B. It is used to develop driver-based strategic plans and generate core financial statements: Incorrect. While it supports driver-based planning, generating core financial statements is more aligned with the Financials module, not Strategic Modeling’s primary focus.
C. It is used to strategically manage and analyze finances at any business level with built-in dashboards: Incorrect. This is too broad and aligns more with the overall Planning application, not specifically Strategic Modeling.
D. It is used to quickly model and evaluate financial scenarios, and offers out-of-the-box treasury capabilities: Correct. This matches the module’s purpose of rapid scenario modeling and its treasury-related features.
The Oracle documentation highlights Strategic Modeling’s role in scenario analysis and its treasury tools, making D the accurate description.
References:
Oracle Planning 2024 Implementation Study Guide: "Overview of Strategic Modeling" (docs.oracle.com, Published 2024-09-25).
Oracle EPM Cloud Documentation: "Strategic Modeling Features" (docs.oracle.com, Published 2023-10-25, updated for 2024).
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