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| Section | Objectives |
|---|---|
| Forms, Dashboards, and Navigation | - Navigation flows
|
| AI and Intelligent Performance Management (IPM) | - AI-driven planning capabilities
|
| Metadata and Data Integration | - Data and metadata loading
|
| Planning Application Overview & Architecture | - Oracle EPM Planning Cloud architecture
|
| Dimensions and Security Management | - Security model
|
| Business Rules and Calculations | - Calculation framework
|
| Reporting and Analytics | - Reporting tools
|
| Workflow and Approvals | - Planning workflow management
|
| Module-Based Planning Applications | - Planning modules
|
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NEW QUESTION # 31
Which three statements are true about importing metadata from a flat file into Planning?
Answer: A,D,E
Explanation:
In Oracle Planning 2024, importing metadata from a flat file into Planning involves specific rules and capabilities. The three true statements are:
A . You can rename or delete members of attribute dimensions during a metadata import: Incorrect. Metadata imports update dimension members (e.g., adding, updating properties), but renaming or deleting attribute dimension members is not directly supported via flat file import-it requires manual action or a separate process.
B . You can import data forms, dashboards, and infolets by loading a local import file or an import file from the Inbox server: Incorrect. Flat file imports are for metadata (e.g., dimensions, members), not artifacts like forms, dashboards, or infolets, which are managed via Migration or Application tools.
C . Your import file must contain a list of metadata records. Each metadata record contains a delimited list of property values that matches the order designated in the header record: Correct. The import file format requires a header defining properties (e.g., Name, Parent) and subsequent records with delimited values (e.g., CSV) matching that order, a standard requirement for metadata imports.
D . When selecting to clear members during import, any member not specified is deleted from the outline after importing the dimension unless it is an ancestor of a member that was specified, or is a base member of a shared member that was specified: Correct. When the "Clear Members" option is selected, unspecified members are removed, but ancestors of specified members and base members of shared members are retained to maintain hierarchy integrity.
E . You can use the import file functionality to import more metadata or to perform incremental updates from the source system: Correct. Metadata imports support both full loads and incremental updates, allowing administrators to add or modify members as needed from a source system.
The Oracle documentation verifies that C, D, and E accurately describe the metadata import process, making them the correct answers.
Oracle Planning 2024 Implementation Study Guide: "Importing Metadata from Flat Files" (docs.oracle.com, Published 2024-10-05).
Oracle EPM Cloud Documentation: "Metadata Import Guidelines" (docs.oracle.com, Published 2023-11-25, updated for 2024).
NEW QUESTION # 32
With Machine Learning, which type of prediction would you define to predict revenue using several input variables such as price, promotions, industry market size, and climate?
Answer: A
Explanation:
In Oracle Planning 2024's Machine Learning capabilities, particularly with the "Bring Your Own ML" feature, predictions can be defined based on the type of analysis required. To predict revenue using multiple input variables such as price, promotions, industry market size, and climate, the appropriate prediction type is:
A . Dimension Prediction: Incorrect. This type is not a standard term in Oracle's ML framework for Planning; it suggests predicting across dimensions, which isn't specific to multi-variable revenue prediction.
B . Source Prediction: Incorrect. This is not a defined prediction type in Oracle Planning's ML documentation; it might imply source data analysis, but it's not applicable here.
C . Forecast Prediction: Incorrect. While forecasting involves predicting future values, "Forecast Prediction" is not a specific ML type in Oracle, and it doesn't emphasize the use of multiple variables.
D . Multivariate Prediction: Correct. Multivariate prediction involves using multiple input variables (e.g., price, promotions, market size, climate) to predict an outcome (e.g., revenue). Oracle's ML integration supports importing PMML models that handle multivariate analysis, aligning with this scenario.
The Oracle documentation confirms that Multivariate Prediction is the type suited for complex predictions with several input variables, making D the correct answer.
Oracle Planning 2024 Implementation Study Guide: "Machine Learning Prediction Types" (docs.oracle.com, Published 2024-10-15).
Oracle EPM Cloud Documentation: "Bring Your Own ML: Multivariate Models" (docs.oracle.com, Published 2023-11-20, updated for 2024).
NEW QUESTION # 33
Which step does NOT need to be completed to manage the configuration of Key Performance Indicators (KPIs) in Planning Financials?
Answer: A
NEW QUESTION # 34
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 # 35
You want to include Named Assets in Capital.
Which two tasks can you perform when enabling Named Assets?
Answer: B,C
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.
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 # 36
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