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Oracle Planning 2025 Implementation Professional Sample Questions (Q19-Q24):

NEW QUESTION # 19
Which three required setup options must you select when creating a Module-based Planning application?

A. Rolling Forecast
B. Application Type
C. Period Frequency
D. Main Currency
E. Custom Dimensions

Answer: A,B,E

NEW QUESTION # 20
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 historical data, there should be at least twice the amount of historical data as the number of prediction periods.
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, first run predictions in a test environment to ensure there is no impact on production data.
D. For future data, create a new insight by leveraging templates that include insight definitions.

Answer: A,C

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 # 21
From which two locations can you export data files?

A. Outbox
B. Workspace
C. Repository
D. Local

Answer: A,D

NEW QUESTION # 22
Which three form validation rules options are supported in Planning?

A. Validate only for pages with existing blocks
B. Validate only for cells and pages to which a user has access
C. Validate for all page combinations and all existing or potential blocks
D. Validate only for users with access to this form
E. Validate rules as Service Administrator, regardless of logged-in user, when the form is loaded or saved

Answer: A,B,C

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 with A but is less precise.
Validation is tied to cell-level and page-level access rather than a broad "users with access to this form" criterion, making A the 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 # 23
Which two are use cases for Smart Push?

A. Allow users to update data in another cube on demand
B. Allow users to run Smart Push in forms to move data from source aggregate storage cubes.
C. Allow users to update data in reporting cube after saving data in the planning web form
D. Allow the application to schedule when to synchronize data

Answer: A,C

NEW QUESTION # 24
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