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| Section | Objectives |
|---|---|
| Topic 1: AI and Predictive Planning Features | - Predictive forecasting
|
| Topic 2: Reporting and Analysis | - Analytics
|
| Topic 3: Planning Application Configuration | - Business rules and calculations
|
| Topic 4: Data Integration and Management | - Data validation and transformation
|
| Topic 5: Oracle Enterprise Performance Management (EPM) Cloud Overview | - Security and user management
|
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NEW QUESTION # 18
Which three options can you enable for Manage Existing Assets in Capital?
Answer: C,D,E
NEW QUESTION # 19
Which three are configuration or post-configuration tasks for Financials?
Answer: A,C,E
Explanation:
In Oracle Planning 2024, configuring and post-configuring the Financials module involves tasks to establish its structure and functionality. The three valid configuration or post-configuration tasks are:
A . Adding custom expense driver categories: Incorrect. While Financials supports driver-based planning (e.g., revenue drivers), adding custom expense driver categories is not a standard configuration task-it's more of a customization within forms or rules, not a core setup step.
B . Adding custom dimensions: Correct. Adding custom dimensions (e.g., Region, Product) is a key configuration task in Financials to tailor the module to business needs, often done during or shortly after initial setup.
C . Completing Planning and Forecast Preparation: Correct. This mandatory configuration task defines the planning periods, scenarios, and versions for Financials, setting the foundation for budgeting and forecasting.
D . Setting up exchange rates (for multicurrency applications): Correct. For multicurrency-enabled Financials applications, configuring exchange rates is a critical task during or post-configuration to support currency conversion in financial planning.
E . Removing custom dimensions: Incorrect. Removing dimensions is not a standard configuration or post-configuration task-it's a rare adjustment that could disrupt existing data and is not recommended as part of setup.
The Oracle documentation identifies B, C, and D as essential tasks during or after Financials configuration, ensuring the module meets planning and reporting requirements.
Oracle Planning 2024 Implementation Study Guide: "Financials Configuration Tasks" (docs.oracle.com, Published 2024-10-15).
Oracle EPM Cloud Documentation: "Setting Up Financials" (docs.oracle.com, Published 2023-12-15, updated for 2024).
NEW QUESTION # 20
Which item CANNOT be pushed between cubes using data maps?
Answer: A
Explanation:
In Oracle Planning 2024, data maps with Smart Push or manual execution can push various types of data between cubes within the same application or across applications. However, not all items can be transferred. The item that cannot be pushed is:
A . Comments: Incorrect. Comments (cell-level annotations) can be pushed between cubes using data maps, provided the mappings include the necessary dimensions.
B . Attachments: Incorrect. Attachments linked to data cells can be transferred via data maps, as long as the target cube supports them and the mapping is configured correctly.
C . Data change history: Correct. Data change history (audit trails tracking who changed what and when) is not transferable via data maps. It is metadata tied to the source cube's audit log, not a pushable data element.
D . Supporting detail: Incorrect. Supporting detail (breakdowns of aggregated values) can be pushed between cubes if the target cube is configured to accept it and the mapping includes it.
The Oracle documentation specifies that data change history is excluded from data map transfers, as it's a system-maintained log, not a user-editable or movable data type, making C the correct answer.
Oracle Planning 2024 Implementation Study Guide: "Data Maps and Pushable Items" (docs.oracle.com, Published 2024-10-05).
Oracle EPM Cloud Documentation: "Smart Push Capabilities" (docs.oracle.com, Published 2023-12-15, updated for 2024).
NEW QUESTION # 21
Which Planning feature or component enables you to create, validate, deploy, and launch business rules?
Answer: D
NEW QUESTION # 22
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: B
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 # 23
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