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| Section | Weight | Objectives |
|---|---|---|
| Intelligent Performance Management and AI Features | 10% | - Configure IPM and predictive planning features - Leverage AI-driven planning and forecasting capabilities |
| Calculation Rules and Logic | 10% | - Create and manage business rules and scripts - Implement Groovy rules and advanced calculations |
| Data Management and Integration | 15% | - Integrate with external sources and systems - Load, map, and validate data |
| Business Process Configuration | 25% | - Configure Strategic Modeling - Configure Financials module - Configure Workforce module - Configure Projects module - Configure Capital module |
| Reporting, Approval, and Maintenance | 5% | - Set up and manage approval workflows - Perform system maintenance and updates - Create and distribute reports and analytics |
| Forms, Dashboards, and User Interface | 15% | - Design and maintain forms and templates - Build and configure dashboards and infolets - Manage navigation flows and user experience |
| Planning Application Setup and Configuration | 20% | - Create and configure Planning applications - Set up and administer security and access permissions - Manage dimensions, hierarchies, and metadata |
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NEW QUESTION # 114
Which three tasks can you perform on the Dimensions page to manage dimensions in a Custom Planning application?
Answer: A,B,E
Explanation:
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.
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).
NEW QUESTION # 115
Your administrator set up a Free Form application. Which two Statements describe FreeForm Applications?
Answer: A,C
NEW QUESTION # 116
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?
Answer: C
Explanation:
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.
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).
NEW QUESTION # 117
Which set of steps do you perform to enable each Planning module?
Answer: C
NEW QUESTION # 118
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?
Answer: A
Explanation:
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).
NEW QUESTION # 119
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