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| Section | Objectives |
|---|---|
| AI and Predictive Planning Features | - AI-assisted planning insights
|
| Planning Application Configuration | - Application design
|
| Data Integration and Management | - Data loading methods
|
| Reporting and Analysis | - Financial reporting
|
| Oracle Enterprise Performance Management (EPM) Cloud Overview | - Security and user management
|
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NEW QUESTION # 104
Which three are required when enabling Flexible Account Mapping in Workface?
Answer: A,C,D
NEW QUESTION # 105
Which task must be completed before EPM administrators import a Machine Learning model into Planning?
Answer: D
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.
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 # 106
You want to set up weekly planning for 18 continuous months.
Which three options need to be selected when initially enabling features in Financials?
Answer: A,C,E
Explanation:
To set up weekly planning for 18 continuous months in Oracle Planning 2024's Financials module, specific options must be selected when initially enabling features via the Configure card. The three required options are:
A . Time Frame Granularity: Incorrect. This is not a specific option in the Enable Features page; granularity (e.g., weeks) is controlled by Weekly Planning, not a separate setting.
B . Rolling Forecast: Correct. Enabling Rolling Forecast allows planning over a continuous 18-month horizon, dynamically updating as time progresses, which aligns with the requirement for ongoing weekly planning.
C . Weeks to Months Mapping: Correct. This option defines how weekly data rolls up into monthly totals, essential for reporting and analysis over the 18-month period in a weekly planning setup.
D . Weekly Planning: Correct. Enabling Weekly Planning sets the periodicity to weeks instead of months, allowing budgeting and forecasting at a weekly level for the 18 months.
E . Custom Periods: Incorrect. Custom Periods allow defining non-standard time periods, but they are not required for weekly planning over 18 months-Weekly Planning and standard calendar setups suffice.
The Oracle documentation confirms that Rolling Forecast, Weeks to Months Mapping, and Weekly Planning are the key features to enable for weekly planning over an extended horizon like 18 months, making B, C, and D the correct answers.
Oracle Planning 2024 Implementation Study Guide: "Enabling Weekly Planning in Financials" (docs.oracle.com, Published 2024-09-10).
Oracle EPM Cloud Documentation: "Configuring Rolling Forecasts and Weekly Planning" (docs.oracle.com, Published 2023-11-20, updated for 2024).
NEW QUESTION # 107
You want to share detailed benefits data from Workforce with Financials. Which set of steps must you perform?
Answer: A
NEW QUESTION # 108
As a Service Administrator, you use application diagnostics at design time to identify, and resolve design flaws before an application is placed into production. Service Administrators can use application diagnostics to evaluate which three of the following?
Answer: B,D,E
Explanation:
As a Service Administrator in the context of Oracle Planning 2024 Implementation, application diagnostics is a critical tool used at design time to ensure that applications are free of design flaws before they are deployed into production. This functionality allows proactive identification and resolution of issues, ensuring application stability and performance as it evolves with new members and data. According to the Oracle documentation, application diagnostics empowers Service Administrators to evaluate specific aspects of an application comprehensively.
D . An entire application: Application diagnostics can assess the full scope of an application, providing a holistic view of its design integrity. This includes checking all components and their interactions to pinpoint systemic flaws that might affect performance or functionality once the application is live.
C . Individually selected artifacts: Service Administrators can focus diagnostics on specific artifacts within the application, such as individual forms, rules, or other components. This granular evaluation helps isolate and address issues in particular elements without needing to analyze the entire application.
E . Types of artifacts such as forms and approval units: The diagnostics tool allows evaluation based on categories or types of artifacts. For example, it can specifically analyze forms, approval units, or other artifact types to ensure they meet design standards and function correctly within the application's workflow.
The options A. Error log files and B. Migration snapshots are not explicitly mentioned as evaluable components within the scope of application diagnostics at design time in the Oracle Planning 2024 Implementation documentation. Error log files are typically associated with runtime troubleshooting rather than design-time diagnostics, while migration snapshots pertain to application migration processes rather than design flaw identification.
Oracle Enterprise Performance Management Cloud Documentation: "About Application Diagnostics" (docs.oracle.com, published 2018-03-22, updated as of 2024). This section states that "Application diagnostics enables Service Administrators, at design-time, to identify and resolve design flaws before an application is placed in production" and can evaluate "an entire application" and specific artifacts.
Oracle Planning 2024 Implementation Study Guide: Application diagnostics section confirms the ability to assess "entire applications" and "individual or types of artifacts such as forms and approval units" to ensure design integrity.
These Reference:s align with the capabilities described for Service Administrators using application diagnostics in the Oracle Planning 2024 Implementation framework.
NEW QUESTION # 109
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