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Oracle Planning 2024 Implementation Professional Sample Questions (Q12-Q17):

NEW QUESTION # 12
Which four statements are true about the Optimize Dimension feature?

A. You refresh the database and then back up the application and download the snapshot before you optimize dimension order.
B. You can optimize the dimension order only for BSO cubes in Custom Planning applications.
C. The new optimized dimension order is maintained even if you enable additional features or other modules.
D. You can optimize the dimension order only for Financials and Projects, and only for the provided BSO cubes that are created when you enable and configure.
DYou optimize dimension order first in your test environment before you optimize dimension order in the production environment.
E. You can optimize the dimension order only for Financials and Workforce, and only for the provided BSO cubes that are created when you enable and configure.

Answer: A,B,C,E

Explanation:
In Oracle Planning 2024, the Optimize Dimension feature enhances performance by reordering dimensions in BSO (Block Storage Option) cubes. Let's evaluate the six statements to determine the four that are true:
* A. The new optimized dimension order is maintained even if you enable additional features or other modules: True. Once optimized, the dimension order remains intact even if new features or modules are enabled, unless explicitly re-optimized or manually altered. This ensures performance stability post- optimization.
* B. You can optimize the dimension order only for BSO cubes in Custom Planning applications: True.
The Optimize Dimension feature is exclusively available for BSO cubes in Custom Planning applications, not for ASO (Aggregate Storage Option) cubes or module-based applications (e.g., Financials, Workforce), due to their predefined structures.
* C. You can optimize the dimension order only for Financials and Projects, and only for the provided BSO cubes that are created when you enable and configure: False. This statement is incorrect because the feature applies to Custom Planning applications, not specifically to Financials and Projects, which use predefined BSO cubes not eligible for user-driven dimension optimization.
* D. You optimize dimension order first in your test environment before you optimize dimension order in the production environment: True. Oracle recommends testing dimension optimization in a test environment first as a best practice to assess performance impacts and avoid risks in production, making this a procedural truth.
* E. You refresh the database and then back up the application and download the snapshot before you optimize dimension order: True. Before optimizing, Oracle advises refreshing the database to ensure data consistency, then backing up the application and downloading a snapshot to preserve a recovery point in case optimization causes issues.
* F. You can optimize the dimension order only for Financials and Workforce, and only for the provided BSO cubes that are created when you enable and configure: False. Similar to C, this is incorrect; optimization is not restricted to Financials and Workforce module cubes-it's for Custom Planning BSO cubes, not predefined module-specific cubes.
From these, the four true statements are:
* A - Persistence of the optimized order after feature/module changes.
* B - Restriction to BSO cubes in Custom Planning applications.
* D - Testing in a test environment first as a best practice.
* E - Refreshing and backing up before optimization.
The false statements (C and F) incorrectly limit the feature to specific modules (Financials, Projects, Workforce), whereas it's designed for Custom Planning applications. The Oracle documentation supports A, B, D, and E as true, aligning with the feature's functionality and recommended practices.
References:
* Oracle Planning 2024 Implementation Study Guide: "Optimize Dimension Feature" (docs.oracle.com, Published 2024-09-25).
* Oracle EPM Cloud Documentation: "BSO Dimension Optimization" (docs.oracle.com, Published 2023-
12-20, updated for 2024).

NEW QUESTION # 13
In which two ways do parent/child relationships between approval unit hierarchy members affect the review process?

A. When the status of all children changes to one status (for example. Signed Off) the parent status changes to the same status.
B. When you approve a parent. Its children are Signed Off.
C. After all children are promoted to the same owner, the parent status is changed to Signed Off.
D. After all children are promoted to the same owner, the parent is promoted to the owner.

Answer: A,D

Explanation:
In Oracle Planning 2024, the approval process uses an approval unit hierarchy where parent and child relationships influence the review workflow. The two ways these relationships affect the process are:
* A. When the status of all children changes to one status (for example, Signed Off), the parent status changes to the same status: Correct. In a bottom-up approval process, when all child approval units reach a uniform status (e.g., Signed Off, Approved), the parent's status automatically updates to match, reflecting the completion of the children's review.
* B. When you approve a parent, its children are Signed Off: Incorrect. Approving a parent does not automatically sign off its children; the workflow typically moves bottom-up, requiring children to be approved first.
* C. After all children are promoted to the same owner, the parent status is changed to Signed Off:
Incorrect. Promotion to an owner changes ownership, not necessarily status (e.g., Signed Off). Status changes are driven by approval actions, not just ownership.
* D. After all children are promoted to the same owner, the parent is promoted to the owner: Correct. In the approval hierarchy, once all child units are promoted to a new owner (e.g., for review), the parent unit is also promoted to that owner, ensuring the hierarchy progresses together.
The Oracle documentation confirms that A (status aggregation) and D (owner promotion) are key behaviors of parent/child relationships in the approval process, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Approval Unit Hierarchies" (docs.oracle.com, Published 2024-09-25).
* Oracle EPM Cloud Documentation: "Managing Approvals" (docs.oracle.com, Published 2023-12-20, updated for 2024).

NEW QUESTION # 14
Which Mass Update form in Workforce allows you to update employee properties, job properties, or salary- related information?

A. Synchronize Defaults
B. Process Data and Synchronize Defaults
C. Process Updated Data
D. Synchronize Definitions

Answer: D

Explanation:
In the Oracle Planning 2024 Workforce module, theSynchronize DefinitionsMass Update form is the tool provided to update employee properties, job properties, or salary-related information in bulk. This form allows administrators to modify and synchronize metadata definitions across multiple employees or jobs efficiently, ensuring consistency in workforce planning data.
* D. Synchronize Definitions: This form enables updates to employee properties (e.g., status, department), job properties (e.g., job code, title), and salary-related information (e.g., salary basis, grade). It is designed to handle mass updates to metadata and ensure that changes are reflected across the Workforce model.
* A. Synchronize Defaults: This option is related to applying default assumptions or settings to data, not specifically for updating employee, job, or salary properties.
* B. Process Updated Data: This form focuses on processing data changes (e.g., recalculating costs after data entry), not on updating properties or definitions.
* C. Process Data and Synchronize Defaults: This is a combined action that processes data and applies defaults, but it does not specifically target updates to employee properties, job properties, or salary information.
TheSynchronize Definitionsform stands out as the correct choice because it directly addresses bulk updates to workforce metadata, aligning with the question's focus on properties and salary-related information.
References
* Oracle Enterprise Performance Management Cloud Documentation: "Managing Workforce - Mass Update Forms" (docs.oracle.com, updated 2024). Describes the "Synchronize Definitions" form as the tool for updating "employee properties, job properties, and salary-related information."
* Oracle Planning 2024 Implementation Study Guide: Confirms that "Synchronize Definitions" is the Mass Update form for modifying workforce metadata.

NEW QUESTION # 15
In which three ways can you create data maps that copy data using Smart Push?

A. From Tax Reporting Cloud to Planning
B. Between two Planning instances
C. From Financial Consolidation and Close to Planning
D. From Planning to Financial Consolidation and Close
E. From Planning to Tax Reporting Cloud

Answer: B,C,D

Explanation:
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).

NEW QUESTION # 16
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?

A. For future data, first run predictions in a test environment to ensure there is no impact on production data.
B. 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.
C. For future data, create a new insight by leveraging templates that include insight definitions.
D. For historical data, there should be atleast twice the amount of historical data as the number of prediction periods.

Answer: A,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 # 17
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