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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?
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.
Oracle Planning 2024 Implementation Study Guide: 'Machine Learning Prediction Types' (docs.oracle.com, Published 2024-10-15).
Oracle EPM Cloud Documentation: 'Bring Your Own ML: Multivariate Models' (docs.oracle.com, Published 2023-11-20, updated for 2024).
In 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?
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.
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 card in the Application cluster allows you to enable modules?
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.
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).
You want to design a report with Reports for Oracle Enterprise Performance Management Cloud. You have an error on the report indicated by a red bar above the report header.
Which two statements describe possible causes of report object errors in Report Designer?
When designing a report in Reports for Oracle Enterprise Performance Management Cloud and encountering an error (indicated by a red bar above the report header), the issue often stems from report object configuration. The two possible causes are:
A . The report name is blank when you use a text function to display the name: Incorrect. A blank report name might cause display issues, but it's not a common cause of a report object error flagged by a red bar---errors typically relate to objects or data sources, not naming.
B . The report object overlaps with another report object: Correct. Overlapping objects (e.g., grids, charts) can cause rendering or validation errors in Report Designer, triggering an error indicator like a red bar due to layout conflicts.
C . The data source connection for the report is no longer valid: Correct. If the data source (e.g., a cube or grid definition) becomes invalid (e.g., deleted, renamed, or inaccessible), the report cannot retrieve data, resulting in an error marked by a red bar.
Oracle Planning 2024 Implementation Study Guide: 'Troubleshooting Reports in Report Designer' (docs.oracle.com, Published 2024-10-20).
Oracle EPM Cloud Documentation: 'Report Designer Error Handling' (docs.oracle.com, Published 2023-11-25, updated for 2024).
Which two can be used to push data between cubes?
In Oracle Planning 2024, pushing data between cubes (e.g., from one cube to another within the same application) can be accomplished using specific tools. The two methods that facilitate this are:
A . Data Integration: Incorrect. Data Integration is used to import data from external sources (e.g., files, other systems) into Planning, not to push data between cubes within the same application.
B . Data Maps: Correct. Data Maps allow you to define mappings and push data between cubes (or applications) using Smart Push or manual execution. This is a primary method for intra-application data movement.
C . Copy Data: Correct. The Copy Data feature enables administrators to copy data from one cube to another within the same Planning application, specifying dimensions and members to transfer.
D . Import Data: Incorrect. Import Data is designed to bring external data into a cube from a file, not to push data between existing cubes.
Both Data Maps (with Smart Push for real-time updates) and Copy Data (for batch-style transfers) are explicitly supported for moving data between cubes, as per Oracle's documentation, making B and C the correct answers.
Oracle Planning 2024 Implementation Study Guide: 'Moving Data Between Cubes' (docs.oracle.com, Published 2024-09-05).
Oracle EPM Cloud Documentation: 'Data Maps and Copy Data Features' (docs.oracle.com, Published 2023-12-25, updated for 2024).
