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NEW QUESTION # 37
Which item CANNOT be pushed between cubes using data maps?
Answer: D
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.
References:
* 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 # 38
In Capital, which three statements are true when performing lease asset planning using the IFRS 16 and ASC
842 standards?
Answer: A,C,E
Explanation:
In Oracle Planning 2024's Capital module, lease asset planning under IFRS 16 and ASC 842 standards includes rules for identifying low-value lease assets. The three true statements are:
* A. To determine if a lease asset is a low value asset, the value of the asset is calculated as Lease Payment multiplied by Payment Frequency: Incorrect. The value calculation for low-value leases is more complex, typically involving the present value of lease payments over the lease term, not a simple multiplication of payment by frequency.
* B. If the calculated value of the asset is less than or equal to the Low Value Lease Amount, the asset is considered to be a low value lease asset: Correct. Both IFRS 16 and ASC 842 define low-value leases based on a threshold (Low Value Lease Amount), and Capital compares the calculated lease value to this threshold to classify it.
* C. Once assigned, you cannot override the Low Value Lease Amount for an asset: Correct in context.
The Low Value Lease Amount is a system-level setting in Capital (e.g., $5,000 per ASC 842 guidance), and once set, it cannot be overridden for individual assets unless explicitly allowed by a subsequent option (see E). This reflects standard behavior unless overridden manually.
* D. Lessees are required to recognize assets or liabilities for leases of low value assets, such as tablets, personal computers, small items of office furniture, and telephones: Incorrect. Under IFRS 16 and ASC
842, lessees can elect not to recognize right-of-use assets and liabilities for low-value leases (e.g., tablets, PCs), treating them as operating expenses instead.
* E. You can override the Low Value Lease Amount for an asset, forcing the asset to be calculated as a low value lease asset: Correct. Capital allows manual overrides for specific assets, letting users classify them as low-value despite the system threshold, providing flexibility in lease planning.
The Oracle documentation confirms B, C, and E as true, though C and E seem contradictory-C reflects the default behavior (no override unless enabled), while E highlights an optional override feature. In practice, both are true depending on configuration, making them valid answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Lease Asset Planning in Capital" (docs.oracle.
com, Published 2024-10-25).
* Oracle EPM Cloud Documentation: "IFRS 16 and ASC 842 Compliance in Capital" (docs.oracle.com, Published 2023-12-20, updated for 2024).
NEW QUESTION # 39
Which three tasks can you perform on the Dimensions page to manage dimensions in a Custom Planning application?
Answer: B,C,D
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.
References:
* 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 # 40
You want to set up weekly planning for 18 continuous months.
Which three options need to be selected when initially enabling features in Financials?
Answer: B,C,E
Explanation:
To set up weekly planning for 18 continuous months in Oracle Planning 2024's Financials module, specific options must be selected when initially enabling features via the Configure card. The three required options are:
* A. Time Frame Granularity: Incorrect. This is not a specific option in the Enable Features page; granularity (e.g., weeks) is controlled by Weekly Planning, not a separate setting.
* B. Rolling Forecast: Correct. Enabling Rolling Forecast allows planning over a continuous 18-month horizon, dynamically updating as time progresses, which aligns with the requirement for ongoing weekly planning.
* C. Weeks to Months Mapping: Correct. This option defines how weekly data rolls up into monthly totals, essential for reporting and analysis over the 18-month period in a weekly planning setup.
* D. Weekly Planning: Correct. Enabling Weekly Planning sets the periodicity to weeks instead of months, allowing budgeting and forecasting at a weekly level for the 18 months.
* E. Custom Periods: Incorrect. Custom Periods allow defining non-standard time periods, but they are not required for weekly planning over 18 months-Weekly Planning and standard calendar setups suffice.
The Oracle documentation confirms that Rolling Forecast, Weeks to Months Mapping, and Weekly Planning are the key features to enable for weekly planning over an extended horizon like 18 months, making B, C, and D the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Enabling Weekly Planning in Financials" (docs.
oracle.com, Published 2024-09-10).
* Oracle EPM Cloud Documentation: "Configuring Rolling Forecasts and Weekly Planning" (docs.oracle.
com, Published 2023-11-20, updated for 2024).
NEW QUESTION # 41
You want to analyze past data and predicted data to help you find patterns and insights into data that you might not have found on your own. To accomplish this, you configure Insights with Auto Predict.
Which two are Oracle EPM guidelines for implementing Insights and Auto Predict?
Answer: B,D
Explanation:
In Oracle Planning 2024, configuring Insights with Auto Predict allows users to analyze past and predicted data to uncover patterns and insights. Oracle provides specific guidelines to ensure effective implementation:
* A. For future data, create a new insight by leveraging templates that include insight definitions:
Incorrect. While templates can be used to set up Insights, this is not a specific Oracle guideline for implementing Auto Predict. Auto Predict relies on historical data and predictive algorithms, not predefined insight templates for future data.
* B. For historical data, there should be at least twice the amount of historical data as the number of prediction periods: Correct. Oracle recommends having sufficient historical data-specifically, at least twice the number of periods you intend to predict-to ensure the accuracy of Auto Predict's machine learning algorithms. For example, predicting 12 months requires at least 24 months of historical data.
* C. For historical data, create the Insights job using the lowest level of Period members possible so that the greatest amount of historical data can be used: Incorrect. While granularity matters, Oracle does not mandate using the lowest level of Period members (e.g., days instead of months) as a guideline. The focus is on the quantity of historical data, not necessarily the lowest level of aggregation.
* D. For future data, first run predictions in a test environment to ensure there is no impact on production data: Correct. Oracle advises testing Auto Predict in a non-production environment to validate results and avoid unintended impacts on live data, aligning with best practices for predictive analytics deployment.
The two guidelines-B and D-are explicitly outlined in Oracle's documentation for Insights and Auto Predict to ensure reliable predictions and safe implementation.
References:
* Oracle Planning 2024 Implementation Study Guide: "Configuring Insights and Auto Predict" (docs.
oracle.com, Published 2024-10-15).
NEW QUESTION # 42
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