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Oracle Planning 2024 Implementation Professional Sample Questions (Q36-Q41):
NEW QUESTION # 36
You want to import data into your application. You import data from a file and want to save the import operation as a job. Which two statements are true about import data jobs?
- A. Reference a data file stored locally when creating the Import Data job.
- B. Include the path for the data file stored on the server.
- C. Upload your data file to the Inbox before running the Import Data job.
- D. Select the option to clear data before import.
Answer: C,D
Explanation:
In Oracle Planning 2024, importing data from a file and saving the operation as a job involves specific steps and options. The two true statements about Import Data jobs are:
* A. Reference a data file stored locally when creating the Import Data job: Incorrect. Oracle EPM Cloud does not allow referencing files stored locally on a user's machine for Import Data jobs. Files must be uploaded to the cloud environment (e.g., Inbox) for processing.
* B. Select the option to clear data before import: Correct. When configuring an Import Data job, you can choose to clear existing data in the target before importing new data. This option ensures a clean slate for the import, avoiding data duplication or overlap, and is a standard feature in the job setup.
* C. Upload your data file to the Inbox before running the Import Data job: Correct. Oracle requires that data files be uploaded to the Inbox (or another cloud storage location like the Outbox) before scheduling or running an Import Data job. The job then references this uploaded file for execution.
* D. Include the path for the data file stored on the server: Incorrect. While you specify a file name in the job definition, you do not manually include a server path. The system automatically manages file locations within the cloud environment (e.g., Inbox), and users select files from there, not via explicit server paths.
The documentation confirms that uploading the file to the Inbox and optionally clearing data are key aspects of setting up an Import Data job, making B and C the true statements.
References:
* Oracle Planning 2024 Implementation Study Guide: "Importing Data and Creating Jobs" (docs.oracle.
com, Published 2024-10-20).
* Oracle EPM Cloud Documentation: "Managing Data Import Jobs" (docs.oracle.com, Published 2023-
11-05, updated for 2024).
NEW QUESTION # 37
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?
- A. In Financials, in the Asset Expenses Wizard, map each component to a Financials account.
- B. In Capital, for Expense, enable Integration with Financials.
- C. In Financials, on the Enable page, in Map/Rename Dimensions, add a custom dimension called Assets.
- D. In Capital, on the Configure page, select Map Capital Accounts and map capital accounts to the corresponding account in Financials.
Answer: B
NEW QUESTION # 38
You are preparing to design a report in Cloud EPM Planning using Report Designer. Which two statements are true about data sources in reports?
- A. Include a chart in your report without displaying the underlying data grid.
- B. Control the way a report object is printed on the page relative to other report objects.
- C. Insert charts in the report header to provide a quick visual summary of data.
- D. Insert a report object into the report if you are in Modify mode.
Answer: A,B
Explanation:
When designing reports in Oracle Cloud EPM Planning using Report Designer, data sources and report objects (e.g., grids, charts) have specific capabilities. The two true statements about data sources in reports are:
* A. Insert charts in the report header to provide a quick visual summary of data: Incorrect. Report Designer does not support inserting charts directly into the report header; charts are added as objects within the report body, linked to data sources.
* B. Include a chart in your report without displaying the underlying data grid: Correct. You can create a chart object tied to a data source (e.g., a grid) and configure it to display only the chart, suppressing the grid for a cleaner visual presentation.
* C. Control the way a report object is printed on the page relative to other report objects: Correct. Report Designer allows you to adjust the layout and positioning of report objects (e.g., grids, charts) relative to each other, controlling how they appear when printed or exported.
* D. Insert a report object into the report if you are in Modify mode: Incorrect. While you modify reports in Report Designer, there's no specific "Modify mode" restriction-objects can be inserted during initial design or edits, but this is not a data source-specific feature.
The Oracle documentation verifies that B and C reflect Report Designer's flexibility with data sources and object management, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Designing Reports with Report Designer" (docs.
oracle.com, Published 2024-09-30).
* Oracle EPM Cloud Documentation: "Report Designer Data Sources" (docs.oracle.com, Published 2023-
12-05, updated for 2024).
NEW QUESTION # 39
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. Forecast Prediction
- C. Multivariate Prediction
- D. Dimension Prediction
Answer: C
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.
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).
NEW QUESTION # 40
Which two statements are true about using anchor and nonanchor dimensions with cell-level security?
- A. By default, nonanchor dimensions are required. You can change this setting later.
- B. Anchor dimensions are never required in the cube that is used in the cell-level security definition.
- C. By default, nonanchor dimensions are not required.
- D. Anchor dimensions are always required in the cube that is used in the cell-level security definition.
Answer: C,D
Explanation:
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).
NEW QUESTION # 41
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