You want to import data into your application. You import data from a file and want to save the import operation as a job. Which two statements are true about import data jobs?
Reference a data file stored locally when creating the Import Data job.
Select the option to clear data before import.
Upload your data file to the Inbox before running the Import Data job.
Include the path for the data file stored on the server.
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.
References:
Oracle Planning 2024 Implementation Study Guide: "Importing Data and Creating Jobs" (docs.oracle.com, Published 2024-10-20).
Oracle EPM Cloud Documentation: "Managing Data Import Jobs" (docs.oracle.com, Published 2023-11-05, updated for 2024).
Which two types of Groovy Rules are supported by Oracle?
Rules that overwrite member formulas that combine operators and calculation functions, and perform calculations on members in Dimension Editor
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
Pure Groovy rules that can perform data validations and cancel the operation if the data entered violates company policies
Rules that dynamically calculate data and perform validation checks in tile charts and infolets
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.
References:
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).
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).
In Capital, which three statements are true when performing lease asset planning using the IFRS 16 and ASC 842 standards?
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.
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.
Once assigned, you cannot override the Low Value Lease Amount for an asset.
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.
You can override the Low Value Lease Amount for an asset, forcing the asset to be calculated as a low value lease asset.
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.
References:
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 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).
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).
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 dimension must members be imported into to configure Additional Earnings in the Benefits and Taxes wizard?
Component
Account
Property
Pay Type
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.
You want to include asset-related expenses such as depreciation, amortization, and insurance in Financials reporting. Which statement describes what you need to set up in Financials or Capital to share the data?
In Capital, for Expense, enable Integration with Financials.
In Financials, on the Enable page, in Map/Rename Dimensions, add a custom dimension called Assets.
In Capital, on the Configure page, select Map Capital Accounts and map capital accounts to the corresponding account in Financials.
In Financials, in the Asset Expenses Wizard, map each component to a Financials account.
To include asset-related expenses such as depreciation, amortization, and insurance in Financials reporting within Oracle Planning 2024 Implementation, integration between the Capital and Financials modules is required. The correct setup involves enabling integration from the Capital module to share expense data with Financials.
A. In Capital, for Expense, enable Integration with Financials: This option activates the integration feature in the Capital module under the Expense section, allowing asset-related expenses (e.g., depreciation, amortization, insurance) to be automatically pushed to Financials. Once enabled, Capital maps these expenses to the appropriate Financials accounts, ensuring seamless reporting. This is the standard method outlined in Oracle documentation for sharing Capital data with Financials.
B. In Financials, on the Enable page, in Map/Rename Dimensions, add a custom dimension called Assets: Adding a custom dimension in Financials is not the correct approach for integrating Capital expenses. Custom dimensions are for extending dimensionality, not for enabling data sharing between modules.
C. In Capital, on the Configure page, select Map Capital Accounts and map capital accounts to the corresponding account in Financials: While account mapping is part of the integration process, it is a subsequent step that occurs after enabling integration. The primary action is enabling the integration itself, not just mapping accounts.
D. In Financials, in the Asset Expenses Wizard, map each component to a Financials account: There is no "Asset Expenses Wizard" in Financials for this purpose. The integration is driven from Capital, not through a wizard in Financials.
References
Oracle Enterprise Performance Management Cloud Documentation: "Administering Capital – Integration with Financials" (docs.oracle.com, updated 2024). Specifies that "enabling Integration with Financials under Expenses in Capital" is required to share depreciation, amortization, and insurance expenses.
Oracle Planning 2024 Implementation Study Guide: Notes that enabling integration from Capital’s Expense section is the key step for including asset-related expenses in Financials reporting.
Which four statements are true about the Optimize Dimension feature?
The new optimized dimension order is maintained even if you enable additional features or other modules.
You can optimize the dimension order only for BSO cubes in Custom Planning applications.
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.
DYou optimize dimension order first in your test environment before you optimize dimension order in the production environment.
You refresh the database and then back up the application and download the snapshot before you optimize dimension order.
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.
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.
References:
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).
You want to Input data into Financials. For Financials, there is a predefined navigation flow with cards listed for both Revenue and Expenses. What is the sequence of the cards for Revenue and Expenses?
Overview, Driver and Trend Based, Rolling Forecast, Direct Entry, Income Statement
Assumptions, Allocations, Detailed Bottom Up, Strategic Top-Down, Direct Input, Overview, Summary
Assumptions, Direct Input, Driver and/or Trend Based, High Level Overview, Detailed Overview, Summary
Overview,Assumptions, Allocations, Detailed Bottom-Up, Driver and/or Trend based. Direct Input
In Oracle Planning 2024, Financials provides a predefined navigation flow for entering data, organized into cards that guide users through the planning process for Revenue and Expenses. The navigation flow is designed to streamline data input and analysis, starting with high-level views and moving into detailed entry methods. According to the Oracle documentation, the default sequence of cards for Revenue and Expenses in Financials is: Overview, followed by Driver and Trend Based, Rolling Forecast, Direct Entry, and concluding with Income Statement.
Overview: Provides a high-level summary of financial data, setting the context for planning.
Driver and Trend Based: Allows users to input data based on drivers (e.g., units sold) or trends (e.g., historical patterns), a key method for revenue and expense planning.
Rolling Forecast: Enables continuous forecasting over a defined period, integrating with driver-based inputs.
Direct Entry: Permits manual data input for specific accounts or line items, offering flexibility.
Income Statement: Consolidates all inputs into a financial statement view for review.
Option A accurately reflects this sequence as outlined in the Oracle Planning 2024 predefined navigation flow for Financials. Option B includes irrelevant cards like "Allocations" and "Strategic Top-Down," which are not part of the default Financials Revenue and Expenses flow. Option C introduces "High Level Overview" and "Detailed Overview," which are not standard card names in this context. Option D includes "Allocations" and "Detailed Bottom-Up," which are more aligned with custom flows or other modules, not the default Financials sequence.
This sequence is part of the out-of-the-box Financials navigation flow, ensuring users follow a logical progression from overview to detailed input and final reporting.
References:
Oracle Planning 2024 Implementation Study Guide: "Working with Navigation Flows in Financials" (docs.oracle.com, Published 2024-09-10).
Oracle EPM Cloud Documentation: "Planning Revenue and Expenses in Financials" (docs.oracle.com, Published 2023-11-15, updated for 2024).
Your administrator wants to create a Planning application with EPM Enterprise Cloud.
Which three Planning application types can you select when creating an application with EPM Enterprise Cloud?
Modules
Plan
Free Form
Hybrid
Custom
When creating a Planning application with EPM Enterprise Cloud in Oracle Planning 2024, administrators can select from specific application types. The three available types are:
A. Modules: Correct. The Modules type allows creating a preconfigured application with options like Financials, Workforce, or Capital, tailored to specific planning needs.
B. Plan: Incorrect. “Plan” is not a distinct application type; it’s a generic term for planning, not an option in the creation wizard.
C. Free Form: Correct. Free Form provides a blank slate for custom cube design without predefined structures, offering maximum flexibility.
D. Hybrid: Incorrect. “Hybrid” is not an application type in EPM Enterprise Cloud; it may refer to Essbase configurations, not Planning application creation.
E. Custom: Correct. Custom allows building an application with user-defined dimensions and structures, distinct from Modules’ prebuilt options.
The Oracle documentation lists Modules, Free Form, and Custom as the selectable types in EPM Enterprise Cloud, making A, C, and E the correct answers.
References:
Oracle Planning 2024 Implementation Study Guide: "Creating Planning Applications" (docs.oracle.com, Published 2024-10-20).
Oracle EPM Cloud Documentation: "Application Types in EPM Enterprise Cloud" (docs.oracle.com, Published 2023-11-25, updated for 2024).
You want to include Named Assets in Capital.
Which two tasks can you perform when enabling Named Assets?
Add the names of assets to plan at the detail level.
Specify the likely number of tangible and intangible assets that you want to add in a planning cycle.
Decrease the number of named assets after enabling Named Assets.
Increase the number of named assets after enabling Named Assets.
In Oracle Planning 2024’s Capital module, enabling Named Assets allows planning for specific, individually tracked assets (e.g., equipment, buildings) rather than generic asset categories. The two tasks you can perform when enabling Named Assets are:
A. Add the names of assets to plan at the detail level: Correct. When enabling Named Assets, you can specify the names of individual assets (e.g., “Truck A,” “Building 1”) to plan their costs, depreciation, and other details at a granular level.
B. Specify the likely number of tangible and intangible assets that you want to add in a planning cycle: Incorrect. While you estimate a maximum number of Named Assets during enablement, you don’t specify them by tangible/intangible categories—the distinction is managed later in asset planning, not at enablement.
C. Decrease the number of named assets after enabling Named Assets: Incorrect. Once Named Assets is enabled with a maximum number, you cannot decrease this limit directly; it requires reconfiguration or disabling/re-enabling the feature, which is not a standard task.
D. Increase the number of named assets after enabling Named Assets: Correct. After enablement, you can increase the maximum number of Named Assets (e.g., from 100 to 150) via the Configure card, allowing more assets to be added as needed.
The Oracle documentation confirms that A (adding asset names) and D (increasing the count post-enablement) are supported tasks for Named Assets, making them the correct answers.
References:
Oracle Planning 2024 Implementation Study Guide: "Enabling Named Assets in Capital" (docs.oracle.com, Published 2024-09-20).
Oracle EPM Cloud Documentation: "Capital Named Assets Configuration" (docs.oracle.com, Published 2023-11-10, updated for 2024).
Which card in the Application cluster allows you to enable modules?
Settings
Configure
Tools
Enable Features
Cube Editor
In Oracle Planning 2024, the Application cluster in the navigator includes cards for managing application settings and features. The card that allows you to enable modules (e.g., Workforce, Projects) is:
A. Settings: Incorrect. Settings is not a card in the Application cluster; it’s typically a broader system-level option, not specific to module enablement.
B. Configure: Correct. The Configure card in the Application cluster provides access to the Enable Features page, where administrators can turn on modules like Financials, Workforce, or Projects.
C. Tools: Incorrect. The Tools card offers utilities (e.g., diagnostics, job scheduling), not module enablement.
D. Enable Features: Incorrect. While "Enable Features" is the specific action/page, it is accessed via the Configure card, not a standalone card in the Application cluster.
E. Cube Editor: Incorrect. Cube Editor is for managing cube structures (e.g., dimensions), not enabling modules.
The Oracle documentation specifies that the Configure card is the entry point for enabling modules, making B the correct answer.
References:
Oracle Planning 2024 Implementation Study Guide: "Enabling Modules in Planning" (docs.oracle.com, Published 2024-08-30).
Oracle EPM Cloud Documentation: "Application Cluster Navigation" (docs.oracle.com, Published 2023-12-05, updated for 2024).
In which three ways can you create data maps that copy data using Smart Push?
From Planning to Tax Reporting Cloud
From Tax Reporting Cloud to Planning
From Financial Consolidation and Close to Planning
From Planning to Financial Consolidation and Close
Between two Planning instances
In Oracle Planning 2024, Smart Push is a feature within data maps that enables efficient, real-time data movement between Oracle EPM Cloud applications or instances. It copies data dynamically when triggered (e.g., via forms or rules). The three supported ways to create data maps with Smart Push are:
A. From Planning to Tax Reporting Cloud: Incorrect. Smart Push does not support direct data movement from Planning to Tax Reporting Cloud, as these modules lack a predefined integration path for this feature.
B. From Tax Reporting Cloud to Planning: Incorrect. Similarly, Smart Push does not facilitate data movement from Tax Reporting Cloud to Planning.
C. From Financial Consolidation and Close to Planning: Correct. Smart Push supports moving consolidated data (e.g., actuals) from Financial Consolidation and Close (FCC) to Planning for planning purposes.
D. From Planning to Financial Consolidation and Close: Correct. Smart Push allows pushing planned data from Planning to FCC for consolidation or reporting.
E. Between two Planning instances: Correct. Smart Push can move data between two Planning instances (e.g., test and production environments) to synchronize data.
These three options—C, D, and E—are explicitly supported by Smart Push in Oracle EPM Cloud, as per the documentation, enabling seamless data integration across these applications.
References:
Oracle Planning 2024 Implementation Study Guide: "Using Smart Push in Data Maps" (docs.oracle.com, Published 2024-09-30).
Oracle EPM Cloud Documentation: "Data Integration with Smart Push" (docs.oracle.com, Published 2023-12-20, updated for 2024).
Copyright © 2014-2025 Certensure. All Rights Reserved