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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Forms, Dashboards, and User Interface | 15% | - Design and maintain forms and templates - Manage navigation flows and user experience - Build and configure dashboards and infolets |
| Topic 2: Calculation Rules and Logic | 10% | - Implement Groovy rules and advanced calculations - Create and manage business rules and scripts |
| Topic 3: Business Process Configuration | 25% | - Configure Strategic Modeling - Configure Projects module - Configure Capital module - Configure Financials module - Configure Workforce module |
| Topic 4: Reporting, Approval, and Maintenance | 5% | - Create and distribute reports and analytics - Set up and manage approval workflows - Perform system maintenance and updates |
| Topic 5: Intelligent Performance Management and AI Features | 10% | - Configure IPM and predictive planning features - Leverage AI-driven planning and forecasting capabilities |
| Topic 6: Data Management and Integration | 15% | - Load, map, and validate data - Integrate with external sources and systems |
| Topic 7: Planning Application Setup and Configuration | 20% | - Set up and administer security and access permissions - Create and configure Planning applications - Manage dimensions, hierarchies, and metadata |
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NEW QUESTION # 58
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?
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.
Oracle Planning 2024 Implementation Study Guide: "Configuring Insights and Auto Predict" (docs.oracle.com, Published 2024-10-15).
NEW QUESTION # 59
You want to share detailed benefits data from Workforce with Financials. Which set of steps must you perform?
Answer: B
NEW QUESTION # 60
Which three are benefits of using Groovy rules?
Answer: C,D,E
NEW QUESTION # 61
In which three ways can you create data maps that copy data using Smart Push?
Answer: A,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.
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 # 62
You want to import data into your application. You import data from a file and want to save the import operation as a job. Which two statements are true about import data jobs?
Answer: C,D
Explanation:
In Oracle Planning 2024, importing data from a file and saving the operation as a job involves specific steps and options. The two true statements about Import Data jobs are:
A . a data file stored locally when creating the Import Data job: Incorrect. Oracle EPM Cloud does not allow referencing files stored locally on a user's machine for Import Data jobs. Files must be uploaded to the cloud environment (e.g., Inbox) for processing.
B . Select the option to clear data before import: Correct. When configuring an Import Data job, you can choose to clear existing data in the target before importing new data. This option ensures a clean slate for the import, avoiding data duplication or overlap, and is a standard feature in the job setup.
C . Upload your data file to the Inbox before running the Import Data job: Correct. Oracle requires that data files be uploaded to the Inbox (or another cloud storage location like the Outbox) before scheduling or running an Import Data job. The job then Reference:s this uploaded file for execution.
D . Include the path for the data file stored on the server: Incorrect. While you specify a file name in the job definition, you do not manually include a server path. The system automatically manages file locations within the cloud environment (e.g., Inbox), and users select files from there, not via explicit server paths.
The documentation confirms that uploading the file to the Inbox and optionally clearing data are key aspects of setting up an Import Data job, making B and C the true statements.
Oracle Planning 2024 Implementation Study Guide: "Importing Data and Creating Jobs" (docs.oracle.com, Published 2024-10-20).
Oracle EPM Cloud Documentation: "Managing Data Import Jobs" (docs.oracle.com, Published 2023-11-05, updated for 2024).
NEW QUESTION # 63
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