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| Section | Weight | Objectives |
|---|---|---|
| Forms, Dashboards, and User Interface | 15% | - Design and maintain forms and templates - Build and configure dashboards and infolets - Manage navigation flows and user experience |
| Intelligent Performance Management and AI Features | 10% | - Leverage AI-driven planning and forecasting capabilities - Configure IPM and predictive planning features |
| Planning Application Setup and Configuration | 20% | - Create and configure Planning applications - Manage dimensions, hierarchies, and metadata - Set up and administer security and access permissions |
| Data Management and Integration | 15% | - Load, map, and validate data - Integrate with external sources and systems |
| Business Process Configuration | 25% | - Configure Strategic Modeling - Configure Financials module - Configure Capital module - Configure Workforce module - Configure Projects module |
| Calculation Rules and Logic | 10% | - Create and manage business rules and scripts - Implement Groovy rules and advanced calculations |
| Reporting, Approval, and Maintenance | 5% | - Perform system maintenance and updates - Set up and manage approval workflows - Create and distribute reports and analytics |
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53. Frage
By default, which four dimensions are enabled for access permissions?
Antwort: B,C,D,E
Begründung:
In Oracle Planning 2024 Implementation, access permissions are configured to control user access to data and metadata at the dimension level. By default, four dimensions are enabled for access permissions to ensure granular security across the application: Scenario, Version, Entity, and Account. These dimensions are foundational to planning applications and are preconfigured for security settings out of the box.
A . Scenario: Defines different planning scenarios (e.g., Budget, Forecast), and access permissions determine which scenarios a user can view or edit.
B . Version: Controls access to different versions of data (e.g., Working, Final), allowing segregation of draft and approved plans.
C . Entity: Represents organizational units (e.g., departments, divisions), and permissions restrict access to specific entities based on user roles.
D . Account: Governs access to financial accounts (e.g., Revenue, Expenses), ensuring users only interact with relevant account data.
E . Period: While Period (e.g., months, quarters) is a critical dimension, it is not enabled for access permissions by default. Access to time periods is typically managed indirectly through other dimensions or data-level security.
F . Years: Similarly, the Years dimension is not enabled for access permissions by default. It is often controlled through Scenario or Version settings rather than direct permissions.
The default enablement of Scenario, Version, Entity, and Account for access permissions reflects Oracle's design to provide robust security across planning contexts, organizational structures, and financial data.
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.
54. Frage
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?
Antwort: B
Begründung:
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).
55. Frage
Which four job types can be scheduled in Planning?
Antwort: A,B,E,F
56. Frage
In Strategic Modeling, you set up the Change in Inventory due to Non-Cash Activity account and provide more detailed accounts below that account. The account number is v2040.35:010. The main account is 2040. Which two statements about setting up accounts in Strategic Modeling are true?
Antwort: B,C
57. Frage
In Financials, you can leverage out-of-the-box calculations to aggregate and prepare actual, plan, and forecast dat a. Which calculation rule would you run to update reports or analyze data at various levels of the business hierarchy?
Antwort: A
58. Frage
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