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Oracle Planning 2024 Implementation Professional Sample Questions (Q12-Q17):
NEW QUESTION # 12
By default, which four dimensions are enabled for access permissions?
- A. Scenario
- B. Period
- C. Account
- D. Version
- E. Entity
- F. Years
Answer: A,C,D,E
Explanation:
In Oracle Planning 2024 Implementation, access permissions are configured to control user access to data and metadata at the dimension level. By default, four dimensions are enabled for access permissions to ensure granular security across the application:Scenario,Version,Entity, andAccount. These dimensions are foundational to planning applications and are preconfigured for security settings out of the box.
* A. Scenario: Defines different planning scenarios (e.g., Budget, Forecast), and access permissions determine which scenarios a user can view or edit.
* B. Version: Controls access to different versions of data (e.g., Working, Final), allowing segregation of draft and approved plans.
* C. Entity: Represents organizational units (e.g., departments, divisions), and permissions restrict access to specific entities based on user roles.
* D. Account: Governs access to financial accounts (e.g., Revenue, Expenses), ensuring users only interact with relevant account data.
* E. Period: While Period (e.g., months, quarters) is a critical dimension, it is not enabled for access permissions by default. Access to time periods is typically managed indirectly through other dimensions or data-level security.
* F. Years: Similarly, the Years dimension is not enabled for access permissions by default. It is often controlled through Scenario or Version settings rather than direct permissions.
The default enablement of Scenario, Version, Entity, and Account for access permissions reflects Oracle's design to provide robust security across planning contexts, organizational structures, and financial data.
References
* Oracle Enterprise Performance Management Cloud Documentation: "Managing Security - Access Permissions" (docs.oracle.com, updated 2024). Lists "Scenario, Version, Entity, and Account" as the four dimensions enabled for access permissions by default.
* Oracle Planning 2024 Implementation Study Guide: Confirms that these four dimensions are preconfigured for security settings to control user access.
NEW QUESTION # 13
What two levels of workforce detail granularity would you need to perform Merit-Based Planning?
- A. Employee
- B. Employee and Job
- C. Job
- D. Merit
Answer: A,B
Explanation:
In Oracle Planning 2024's Workforce module, Merit-Based Planning involves planning salary increases or adjustments based on employee performance (merit). To perform this, you need workforce data at a level of granularity that includes individual employee details. The two levels required are:
* A. Merit: Incorrect. "Merit" is not a granularity level; it's a planning concept or assumption applied to employee data, not a structural level of detail.
* B. Employee and Job: Correct. This level combines employee-specific data (e.g., individual identity) with job-specific data (e.g., role, grade), enabling merit-based adjustments tailored to both the person and their position.
* C. Job: Incorrect. Job-level granularity (e.g., aggregated data for a role) lacks individual employee details, which are necessary for merit-based planning.
* D. Employee: Correct. Employee-level granularity provides the individual data (e.g., current salary, performance rating) needed to calculate merit increases for specific employees.
Merit-Based Planning requires at least Employee-level detail, and often Employee and Job for more precise planning (e.g., tying merit to job roles or grades). The Oracle documentation confirms these as the key granularity levels for this functionality, making B and D the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Merit-Based Planning in Workforce" (docs.oracle.
com, Published 2024-10-10).
* Oracle EPM Cloud Documentation: "Workforce Granularity Levels" (docs.oracle.com, Published 2023-
11-15, updated for 2024).
NEW QUESTION # 14
Which two statements are true about approval units?
- A. Approval units can also include secondary dimensions within any entity.
- B. You can set the option in Application Settings to include detailed annotations for approval units.
- C. You can have up to three scenario/version combinations per approval unit.
- D. Approval units are combinations of scenario, version, and entity or part of an entity.
Answer: A,D
Explanation:
In Oracle Planning 2024, approval units manage the review process. The two true statements are:
* A. You can have up to three scenario/version combinations per approval unit: Incorrect. There's no strict limit of three scenario/version combinations per approval unit; multiple combinations are possible based on hierarchy design.
* B. Approval units are combinations of scenario, version, and entity or part of an entity: Correct.
Approval units are defined by Scenario (e.g., Budget), Version (e.g., Working), and Entity (e.g., Department) or entity hierarchies, forming the basis of the approval process.
* C. Approval units can also include secondary dimensions within any entity: Correct. Secondary dimensions (e.g., Product, Project) can be added to approval units within an entity to refine the scope of approval.
* D. You can set the option in Application Settings to include detailed annotations for approval units:
Incorrect. Annotations are cell-level notes, not an Application Settings option tied to approval units; they're managed separately.
The Oracle documentation confirms B and C as accurate descriptions of approval units, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Approval Units Overview" (docs.oracle.com, Published 2024-09-15).
* Oracle EPM Cloud Documentation: "Configuring Approval Units" (docs.oracle.com, Published 2023-
12-10, updated for 2024).
NEW QUESTION # 15
Which item CANNOT be pushed between cubes using data maps?
- A. Attachments
- B. Data change history
- C. Comments
- D. Supporting detail
Answer: B
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 # 16
In which three ways can you create data maps that copy data using Smart Push?
- A. From Planning to Tax Reporting Cloud
- B. Between two Planning instances
- C. From Planning to Financial Consolidation and Close
- D. From Tax Reporting Cloud to Planning
- E. From Financial Consolidation and Close to Planning
Answer: B,C,E
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 # 17
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