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問題 #22
Which configuration task is NOT mandatory in Workforce?
- A. Employee Type
- B. Benefits and Taxes
- C. Planning and Forecast Preparation
- D. Workforce Assumptions
答案:B
解題說明:
In Oracle Planning 2024's Workforce module, certain configuration tasks are mandatory to enable basic functionality, while others are optional depending on the organization's needs. The task that is not mandatory is:
* A. Employee Type: Incorrect. Defining Employee Type (e.g., full-time, part-time) is mandatory because it establishes the categories of employees to be planned, forming the foundation of workforce data.
* B. Planning and Forecast Preparation: Incorrect. This task is mandatory as it sets up the planning periods, scenarios, and versions, which are essential for Workforce to function within the broader Planning application.
* C. Benefits and Taxes: Correct. Configuring Benefits and Taxes is optional. While Workforce provides predefined options to calculate benefits (e.g., health insurance) and taxes (e.g., payroll taxes), organizations can choose not to configure these if they do not need detailed compensation planning beyond salaries.
* D. Workforce Assumptions: Incorrect. Workforce Assumptions (e.g., hiring rates, salary increases) are mandatory to drive calculations and populate employee data over time.
The Oracle documentation specifies that while Benefits and Taxes enhance Workforce planning, they are not required for core functionality, making C the non-mandatory task.
References:
* Oracle Planning 2024 Implementation Study Guide: "Configuring Workforce Module" (docs.oracle.
com, Published 2024-10-01).
* Oracle EPM Cloud Documentation: "Workforce Configuration Tasks" (docs.oracle.com, Published
2023-11-20, updated for 2024).
問題 #23
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?
- A. Source Prediction
- B. Multivariate Prediction
- C. Forecast Prediction
- D. Dimension Prediction
答案:B
解題說明:
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.
References:
* 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).
問題 #24
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?
- A. The data source connection for the report is no longer valid.
- B. The report object overlaps with another report object.
- C. The size of the inserted graphic is too large.
- D. The report name is blank when you use a text function to display the name.
答案:A,B
解題說明:
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.
* D. The size of the inserted graphic is too large: Incorrect. While large graphics might affect performance or formatting, they do not typically cause a report object error flagged by a red bar-size issues are more likely to impact display than functionality.
The Oracle documentation identifies B (object overlap) and C (invalid data source) as frequent causes of errors in Report Designer, making them the correct answers.
References:
* 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).
問題 #25
Which two statements are true about using anchor and nonanchor dimensions with cell-level security?
- A. By default, nonanchor dimensions are not required.
- B. Anchor dimensions are never required in the cube that is used in the cell-level security definition.
- C. Anchor dimensions are always required in the cube that is used in the cell-level security definition.
- D. By default, nonanchor dimensions are required. You can change this setting later.
答案:A,C
解題說明:
In Oracle Planning 2024, cell-level security restricts access to specific data intersections using anchor and nonanchor dimensions. The two true statements are:
* A. Anchor dimensions are always required in the cube that is used in the cell-level security definition:
Correct. Anchor dimensions (e.g., Entity, Scenario) are mandatory in the security definition to specify the primary scope of access control within the cube.
* B. Anchor dimensions are never required in the cube that is used in the cell-level security definition:
Incorrect. Anchor dimensions are always required, contradicting this statement.
* C. By default, nonanchor dimensions are not required: Correct. Nonanchor dimensions (e.g., Account, Period) are optional by default in cell-level security definitions, allowing flexibility in granularity unless explicitly included.
* D. By default, nonanchor dimensions are required. You can change this setting later: Incorrect.
Nonanchor dimensions are not required by default, and there's no setting to make them mandatory-it's an optional inclusion.
The Oracle documentation specifies that A (anchor necessity) and C (nonanchor optional) align with cell-level security behavior, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Cell-Level Security Configuration" (docs.oracle.
com, Published 2024-09-30).
* Oracle EPM Cloud Documentation: "Anchor and Nonanchor Dimensions" (docs.oracle.com, Published
2023-12-05, updated for 2024).
問題 #26
In which three ways can you create data maps that copy data using Smart Push?
- A. From Financial Consolidation and Close to Planning
- B. From Planning to Tax Reporting Cloud
- C. Between two Planning instances
- D. From Planning to Financial Consolidation and Close
- E. From Tax Reporting Cloud to Planning
答案:A,C,D
解題說明:
In Oracle Planning 2024, Smart Push is a feature within data maps that enables efficient, real-time data movement between Oracle EPM Cloud applications or instances. It copies data dynamically when triggered (e.
g., via forms or rules). The three supported ways to create data maps with Smart Push are:
* A. From Planning to Tax Reporting Cloud: Incorrect. Smart Push does not support direct data movement from Planning to Tax Reporting Cloud, as these modules lack a predefined integration path for this feature.
* B. From Tax Reporting Cloud to Planning: Incorrect. Similarly, Smart Push does not facilitate data movement from Tax Reporting Cloud to Planning.
* C. From Financial Consolidation and Close to Planning: Correct. Smart Push supports moving consolidated data (e.g., actuals) from Financial Consolidation and Close (FCC) to Planning for planning purposes.
* D. From Planning to Financial Consolidation and Close: Correct. Smart Push allows pushing planned data from Planning to FCC for consolidation or reporting.
* E. Between two Planning instances: Correct. Smart Push can move data between two Planning instances (e.g., test and production environments) to synchronize data.
These three options-C, D, and E-are explicitly supported by Smart Push in Oracle EPM Cloud, as per the documentation, enabling seamless data integration across these applications.
References:
* Oracle Planning 2024 Implementation Study Guide: "Using Smart Push in Data Maps" (docs.oracle.
com, Published 2024-09-30).
* Oracle EPM Cloud Documentation: "Data Integration with Smart Push" (docs.oracle.com, Published
2023-12-20, updated for 2024).
問題 #27
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