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Oracle Planning 2024 Implementation Professional Sample Questions (Q30-Q35):
NEW QUESTION # 30
You want to select a probability distribution for your Strategic Modeling simulation. The minimum and maximum are fixed, and you know the most likely values.
Which probability distribution is useful with limited data in situations such as sales estimates, inventory numbers, and marketing costs in Strategic Modeling simulations?
- A. Uniform
- B. Triangular
- C. Normal
- D. Lognormal
- E. Beta PERT
Answer: B
Explanation:
In Oracle Planning 2024's Strategic Modeling simulations, selecting a probability distribution for scenarios with fixed minimum and maximum values and a known most likely value (e.g., sales estimates, inventory, marketing costs) points to:
A: Beta PERT: Incorrect. Beta PERT uses min, max, and most likely values but requires more data to shape the curve accurately, making it less ideal with limited data.
B: Uniform: Incorrect. Uniform assumes equal probability between min and max, ignoring the most likely value, which doesn't fit this scenario.
C: Triangular: Correct. The Triangular distribution uses minimum, maximum, and most likely values, making it simple and effective for limited data situations like sales or costs.
D: Normal: Incorrect. Normal requires mean and standard deviation, not just min, max, and most likely, and assumes more data availability.
E: Lognormal: Incorrect. Lognormal is skewed and suited for data with a positive range, requiring more statistical input than provided here.
C: The Oracle documentation recommends the Triangular distribution for its simplicity and suitability with limited data, making C the correct answer.
References:
Oracle Planning 2024 Implementation Study Guide: "Probability Distributions in Strategic Modeling" (docs.oracle.com, Published 2024-10-25).
Oracle EPM Cloud Documentation: "Simulation Distributions" (docs.oracle.com, Published 2023-11-
30, updated for 2024).
NEW QUESTION # 31
Which task must be completed before EPM administrators import a Machine Learning model into Planning?
- A. Data Scientists create Groovy rules designed to evaluate historical data and identify patterns.
- B. Data Scientists build and train the ML model in a data science tool and save it as a PMML file.
- C. EPM Administrators create a data model and push data to it to generate a PMML file.
- D. EPM Administrators create data maps and Groovy rules to move and process data.
Answer: B
Explanation:
Before an EPM (Enterprise Performance Management) administrator can import a Machine Learning (ML) model into Oracle Planning, a prerequisite task must be completed by data scientists. According to Oracle's
"Bring Your Own ML" feature in the Planning application, the process begins with data scientists gathering historical data related to a business problem, training an ML algorithm, and generating a Predictive Model Markup Language (PMML) file using a third-party data science tool or Oracle Data Science Cloud. This PMML file represents a fully trained ML model that can then be imported into the Planning application by an EPM administrator.
Option A is correct because it aligns with this prerequisite step: the ML model must be pretrained and saved as a PMML file before the import process can begin. Option B is incorrect because Groovy rules are not created by data scientists to evaluate historical data; instead, these rules are automatically generated by the Planning application during the import process to integrate the ML model with the application. Option C is also incorrect, as EPM administrators do not generate PMML files by creating data models and pushing data- instead, they import an existing PMML file. Finally, Option D is incorrect because while EPM administrators may create data maps and Groovy rules as part of the deployment process, this occurs after the PMML file is imported, not before.
The Oracle Planning 2024 Implementation documentation emphasizes that the "Bring Your Own ML" functionality relies on importing a prebuilt PMML file, making the data scientists' role in building and training the model a mandatory first step.
References:
* Oracle Planning 2024 Implementation Study Guide: "Bring Your Own ML: About Machine Learning Model Import" (docs.oracle.com, Published 2024-09-04).
* Oracle EPM Cloud Documentation: "Importing ML Models" (docs.oracle.com, Published 2022-06-17, updated for 2024).
NEW QUESTION # 32
What feature can Service Administrators use to automatically complete all the actions required to create an exact copy of the current application in a target environment?
This includes the removal of the current application and data, if any, from the target environment.
- A. Migration Backup
- B. Migration Export
- C. Clone Snapshot
- D. Replicate Snapshot
Answer: C
Explanation:
In Oracle Planning 2024, Service Administrators can use the Clone Snapshot feature to create an exact copy of the current application in a target environment. This feature automates all actions required for cloning, including removing the existing application and data in the target environment (if any) and replacing it with a snapshot of the source environment. The process involves exporting a snapshot fromthe source, deleting the target environment's current application and data, and then importing and applying the snapshot to recreate the application identically.
* A. Replicate Snapshot: This is incorrect because "Replicate Snapshot" is not a defined feature in Oracle Planning. Replication typically implies duplicating data without necessarily overwriting the target, which doesn't align with the requirement of removing existing content.
* B. Migration Export: This is incorrect because Migration Export only exports application artifacts (e.g., metadata, data) to a file for manual transfer or backup, but it does not automate the removal of the target environment's content or the import process.
* C. Clone Snapshot: This is correct. The Clone Snapshot feature, available under the Environment management tools, fully automates the cloning process, including deletion of the target environment's application and data, followed by the recreation of the source application.
* D. Migration Backup: This is incorrect because Migration Backup creates a backup file for recovery purposes but does not involve cloning or overwriting a target environment.
The Oracle Planning 2024 documentation specifies that Clone Snapshot is designed for such end-to-end automation, making it the ideal choice for Service Administrators to replicate an application across environments efficiently.
References:
* Oracle Planning 2024 Implementation Study Guide: "Managing Environments with Clone Snapshot" (docs.oracle.com, Published 2024-09-15).
* Oracle EPM Cloud Documentation: "Cloning Environments in Planning" (docs.oracle.com, Published
2023-10-20, updated for 2024).
NEW QUESTION # 33
Which three form validation rules options are supported in Planning?
- A. Validate only for users with access to this form
- B. Validate rules as Service Administrator, regardless of logged-in user, when the form is loaded or saved
- C. Validate only for cells and pages to which a user has access
- D. Validate only for pages with existing blocks
- E. Validate for all page combinations and all existing or potential blocks
Answer: C,D,E
Explanation:
In Oracle Planning 2024 Implementation, form validation rules ensure data integrity and usability by defining how forms are validated when loaded or saved. The platform supports multiple validation options tailored to performance, security, and user access, as outlined below:
* A. Validate only for cells and pages to which a user has access: This option restricts validation to the data cells and form pages that the logged-in user has permission to view or edit, based on security settings. It enhances performance by limiting the validation scope and ensures users only interact with relevant data.
* C. Validate for all page combinations and all existing or potential blocks: This comprehensive validation option checks all possible page combinations and data blocks (both existing and potential) within the form. It is useful for ensuring complete data consistency across the application, though it may impact performance due to its extensive scope.
* E. Validate only for pages with existing blocks: This option limits validation to pages that already contain data blocks, ignoring potential blocks that could be created. It strikes a balance between performance and thoroughness, focusing validation efforts on existing data.
* B. Validate rules as Service Administrator, regardless of logged-in user, when the form is loaded or saved: While Service Administrators have elevated privileges, this is not a distinct form validation rule option. Validation rules are applied based on form settings and user access, not specifically tied to the Service Administrator role overriding the logged-in user's context.
* D. Validate only for users with access to this form: This option overlaps withAbut is less precise.
Validation is tied to cell-level and page-level access rather than a broad "users with access to this form" criterion, makingAthe more accurate choice per Oracle's terminology.
References
* Oracle Enterprise Performance Management Cloud Documentation: "Designing Forms - Validation Rules" (docs.oracle.com, updated 2024). Describes validation options including "cells and pages a user has access to," "all page combinations and blocks," and "pages with existing blocks."
* Oracle Planning 2024 Implementation Study Guide: Lists the three supported validation options (A, C, E) under form design and validation settings, aligning with security and performance optimization features.
NEW QUESTION # 34
By default, which four dimensions are enabled for access permissions?
- A. Version
- B. Period
- C. Years
- D. Scenario
- E. Entity
- F. Account
Answer: A,D,E,F
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 # 35
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