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Oracle Planning 2024 Implementation Professional Sample Questions (Q34-Q39):
NEW QUESTION # 34
Which task must be completed before EPM administrators import a Machine Learning model into Planning?
- A. Data Scientists build and train the ML model in a data science tool and save it as a PMML file.
- B. EPM Administrators create a data model and push data to it to generate a PMML file.
- C. Data Scientists create Groovy rules designed to evaluate historical data and identify patterns.
- D. EPM Administrators create data maps and Groovy rules to move and process data.
Answer: A
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 # 35
You need to schedule a weekly data import job. Which two statements are true about scheduling jobs?
- A. You can set the daily maintenance time when scheduling cloning environment jobs.
- B. You can schedule an Import Data job to run later at intervals.
- C. You can delete that are currently processing.
- D. You can set to receive notifications when the job has completed.
- E. You can check the execution status of a job only if it completed.
Answer: B,D
Explanation:
In Oracle Planning 2024, scheduling jobs such as a weekly data import is managed through the Jobs interface, which provides options for automation, monitoring, and notifications. Let's evaluate the provided statements to identify the two that are true:
* A. You can check the execution status of a job only if it completed: This is false. The Jobs console in Oracle EPM allows users to check the status of a job (e.g., Running, Completed, Failed) at any time, not just after completion. Real-time monitoring is a key feature.
* B. You can set the daily maintenance time when scheduling cloning environment jobs: This is false.
Daily maintenance time is a system-wide setting controlled by administrators via Application Settings, not something adjustable when scheduling specific jobs like cloning or data imports.
* C. You can set to receive notifications when the job has completed: This is true. When scheduling a job (e.g., Import Data), users can enable email notifications to be alerted upon job completion, success, or failure, enhancing job management.
* D. You can schedule an Import Data job to run later at intervals: This is true. The scheduling feature supports recurring jobs, such as weekly data imports, allowing users to define the start time and frequency (e.g., daily, weekly) for tasks like importing data from external sources.
* E. You can delete that are currently processing: This is false. Jobs that are currently processing (i.e., in a "Running" state) cannot be deleted until they complete or fail, as per Oracle's job management rules.
Thus, the two true statements are C and D, reflecting the flexibility of scheduling recurring Import Data jobs and receiving completion notifications, both of which are explicitly supported in Oracle Planning 2024.
References:
* Oracle Planning 2024 Implementation Study Guide: "Managing Jobs and Scheduling" (docs.oracle.
com, Published 2024-08-22).
* Oracle EPM Cloud Documentation: "Scheduling Jobs in Planning" (docs.oracle.com, Published 2023-
12-10, updated for 2024).
* Oracle Planning Administration Guide: "Monitoring and Notifications" (docs.oracle.com, Published
2024-10-01).
NEW QUESTION # 36
You want to include Named Assets in Capital.
Which two tasks can you perform when enabling Named Assets?
- A. Add the names of assets to plan at the detail level.
- B. Increase the number of named assets after enabling Named Assets.
- C. Specify the likely number of tangible and intangible assets that you want to add in a planning cycle.
- D. Decrease the number of named assets after enabling Named Assets.
Answer: A,B
Explanation:
In Oracle Planning 2024's Capital module, enabling Named Assets allows planning for specific, individually tracked assets (e.g., equipment, buildings) rather than generic asset categories. The two tasks you can perform when enabling Named Assets are:
* A. Add the names of assets to plan at the detail level: Correct. When enabling Named Assets, you can specify the names of individual assets (e.g., "Truck A," "Building 1") to plan their costs, depreciation, and other details at a granular level.
* B. Specify the likely number of tangible and intangible assets that you want to add in a planning cycle:
Incorrect. While you estimate a maximum number of Named Assets during enablement, you don't specify them by tangible/intangible categories-the distinction is managed later in asset planning, not at enablement.
* C. Decrease the number of named assets after enabling Named Assets: Incorrect. Once Named Assets is enabled with a maximum number, you cannot decrease this limit directly; it requires reconfiguration or disabling/re-enabling the feature, which is not a standard task.
* D. Increase the number of named assets after enabling Named Assets: Correct. After enablement, you can increase the maximum number of Named Assets (e.g., from 100 to 150) via the Configure card, allowing more assets to be added as needed.
The Oracle documentation confirms that A (adding asset names) and D (increasing the count post- enablement) are supported tasks for Named Assets, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Enabling Named Assets in Capital" (docs.oracle.
com, Published 2024-09-20).
* Oracle EPM Cloud Documentation: "Capital Named Assets Configuration" (docs.oracle.com, Published
2023-11-10, updated for 2024).
NEW QUESTION # 37
What two levels of workforce detail granularity would you need to perform Merit-Based Planning?
- A. Merit
- B. Employee
- C. Job
- D. Employee and Job
Answer: B,D
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 # 38
Which dimension must members be imported into to configure Additional Earnings in the Benefits and Taxes wizard?
- A. Property
- B. Pay Type
- C. Account
- D. Component
Answer: D
Explanation:
In Oracle Planning 2024 Implementation, the Benefits and Taxes Wizard is used to configure employee- related financial components, such as additional earnings, benefits, and taxes, within the Workforce module.
To configure Additional Earnings specifically, members must be imported into theComponentdimension.
This dimension is designed to categorize and manage various types of earnings, benefits, and taxes that apply to employees.
TheComponentdimension acts as a foundational structure in the Workforce module, allowing administrators to define and import members (e.g., "Bonus," "Overtime," or other additional earnings types) that can then be associated with employees via the wizard. The wizard uses these members to calculate and allocate costs accurately across the workforce plan.
* B. Account: While the Account dimension is critical for financial reporting and calculations, it is not the dimension where Additional Earnings members are imported in the Benefits and Taxes Wizard.
Accounts are typically used to map earnings to financial statements, not to define the earnings types themselves.
* C. Property: The Property dimension is used for employee or job attributes (e.g., location, department), not for configuring earnings types in the wizard.
* D. Pay Type: Although Pay Type is related to salary and wage classifications, it is not the dimension used for importing Additional Earnings members in the Benefits and Taxes Wizard. Pay Type is more about categorizing base pay structures rather than additional earnings components.
References
* Oracle Enterprise Performance Management Cloud Documentation: "Administering Workforce - Benefits and Taxes Wizard" (docs.oracle.com, updated 2024). Specifies that "members for additional earnings must be imported into the Component dimension" for configuration in the wizard.
* Oracle Planning 2024 Implementation Study Guide: Highlights the Component dimension as the target for importing earnings-related members in Workforce configuration.
NEW QUESTION # 39
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