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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Intelligent Performance Management and AI Features | 10% | - Configure IPM and predictive planning features - Leverage AI-driven planning and forecasting capabilities |
| Topic 2: Business Process Configuration | 25% | - Configure Strategic Modeling - Configure Capital module - Configure Projects module - Configure Workforce module - Configure Financials module |
| Topic 3: Planning Application Setup and Configuration | 20% | - Set up and administer security and access permissions - Manage dimensions, hierarchies, and metadata - Create and configure Planning applications |
| Topic 4: Reporting, Approval, and Maintenance | 5% | - Set up and manage approval workflows - Create and distribute reports and analytics - Perform system maintenance and updates |
| Topic 5: Forms, Dashboards, and User Interface | 15% | - Manage navigation flows and user experience - Design and maintain forms and templates - Build and configure dashboards and infolets |
| Topic 6: Calculation Rules and Logic | 10% | - Create and manage business rules and scripts - Implement Groovy rules and advanced calculations |
| Topic 7: Data Management and Integration | 15% | - Load, map, and validate data - Integrate with external sources and systems |
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NEW QUESTION # 97
Which three are benefits of using Groovy rules?
Answer: B,D,E
NEW QUESTION # 98
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: D
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 # 99
Which option describes Intelligent Performance Management (IPM) Insights?
Answer: A
NEW QUESTION # 100
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?
Answer: B
NEW QUESTION # 101
You want to select a probability distribution for your Strategic Modeling simul-ation. The minimum and maximum are fixed, and you know the most likely values.
Which probability distribution is useful with limited data in situations such as sales estimates, inventory numbers, and marketing costs in Strategic Modeling simul-ations?
Answer: E
Explanation:
In Oracle Planning 2024's Strategic Modeling simulations, selecting a probability distribution for scenarios with fixed minimum and maximum values and a known most likely value (e.g., sales estimates, inventory, marketing costs) points to:
A . Beta PERT: Incorrect. Beta PERT uses min, max, and most likely values but requires more data to shape the curve accurately, making it less ideal with limited data.
B . Uniform: Incorrect. Uniform assumes equal probability between min and max, ignoring the most likely value, which doesn't fit this scenario.
C . Triangular: Correct. The Triangular distribution uses minimum, maximum, and most likely values, making it simple and effective for limited data situations like sales or costs.
D . Normal: Incorrect. Normal requires mean and standard deviation, not just min, max, and most likely, and assumes more data availability.
E . Lognormal: Incorrect. Lognormal is skewed and suited for data with a positive range, requiring more statistical input than provided here.
The Oracle documentation recommends the Triangular distribution for its simplicity and suitability with limited data, making C the correct answer.
Oracle Planning 2024 Implementation Study Guide: "Probability Distributions in Strategic Modeling" (docs.oracle.com, Published 2024-10-25).
Oracle EPM Cloud Documentation: "Simulation Distributions" (docs.oracle.com, Published 2023-11-30, updated for 2024).
NEW QUESTION # 102
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