NO.21 Your administrator wants to create a Planning application with EPM Enterprise Cloud.
Which three Planning application types can you select when creating an application with EPM Enterprise Cloud?
When creating a Planning application with EPM Enterprise Cloud in Oracle Planning 2024, administrators can select from specific application types. The three available types are:
* A. Modules: Correct. The Modules type allows creating a preconfigured application with options like Financials, Workforce, or Capital, tailored to specific planning needs.
* B. Plan: Incorrect. “Plan” is not a distinct application type; it’s a generic term for planning, not an option in the creation wizard.
* C. Free Form: Correct. Free Form provides a blank slate for custom cube design without predefined structures, offering maximum flexibility.
* D. Hybrid: Incorrect. “Hybrid” is not an application type in EPM Enterprise Cloud; it may refer to Essbase configurations, not Planning application creation.
* E. Custom: Correct. Custom allows building an application with user-defined dimensions and structures, distinct from Modules’ prebuilt options.
The Oracle documentation lists Modules, Free Form, and Custom as the selectable types in EPM Enterprise Cloud, making A, C, and E the correct answers.
References:
Oracle Planning 2024 Implementation Study Guide: “Creating Planning Applications” (docs.oracle.com, Published 2024-10-20).
Oracle EPM Cloud Documentation: “Application Types in EPM Enterprise Cloud” (docs.oracle.com, Published 2023-11-25, updated for 2024).
NO.24 Which two types of Groovy Rules are supported by Oracle?
In Oracle Planning 2024, Groovy Rules enhance business logic flexibility. Oracle supports two main types of Groovy Rules:
* A. Rules that overwrite member formulas that combine operators and calculation functions, and perform calculations on members in Dimension Editor: Incorrect. Groovy Rules do not overwrite member formulas in the Dimension Editor; they operate at runtime and are defined in the Rules editor, not as static dimension overrides.
* B. Rules that can dynamically generate calculation scripts at run time based on contexts such as runtime prompts, the POV, the current grid, and so on: Correct. Oracle supports Groovy Rules that generate dynamic calc scripts based on runtime contexts (e.g., POV, grid data, prompts), enabling adaptive calculations.
* C. Pure Groovy rules that can perform data validations and cancel the operation if the data entered violates company policies: Correct. Pure Groovy Rules can validate data (e.g., checking ranges or policies) and cancel operations (e.g., via exceptions), a key feature for enforcing business rules.
* D. Rules that dynamically calculate data and perform validation checks in tile charts and infolets:
Incorrect. Groovy Rules operate on cubes and forms, not directly within tile charts or infolets, which are UI elements driven by underlying data, not rule execution points.
The Oracle documentation confirms B (dynamic script generation) and C (data validation) as supported Groovy Rule types, making them the correct answers.
References:
Oracle Planning 2024 Implementation Study Guide: “Groovy Rules in Planning” (docs.oracle.com, Published
2024-10-15).
Oracle EPM Cloud Documentation: “Supported Groovy Rule Types” (docs.oracle.com, Published 2023-11-
20, updated for 2024).
NO.28 Your administrator creates a Pipeline definition to manage metadata, and data for your Planning application.
Which statement about pipelines is true?
In Oracle Planning 2024, a Pipeline is a feature that allows administrators to define and automate a sequence of jobs (e.g., data imports, metadata updates, calculations) as a single, coordinated process. Pipelines streamline the management of metadata and data by executing multiple tasks in a specified order, ensuring dependencies are met, and providing a repeatable workflow for maintaining the Planning application.
* A. Develop pipelines to guide you through the Planning process: Incorrect. Pipelines are not a planning guide; they are an automation tool for executing jobs, not a process framework.
* B. Use pipelines as a visible, automated, and repeatable system of record for running an application:
Incorrect. While pipelines are automated and repeatable, they are not a “system of record” for running the entire application-they focus on specific job sequences.
* C. Use pipelines to coordinate the running of a series of jobs as a single process: Correct. This aligns with the Oracle definition of pipelines, which orchestrate multiple jobs (e.g., import data, refresh database) into one executable process.
* D. Quickly drill into data slices that are important to you with pipelines: Incorrect. Pipelines are not designed for data analysis or drilling into data slices; they are for job automation.
The Oracle documentation emphasizes that pipelines are used to manage and execute a series of jobs efficiently, making C the true statement.
References:
Oracle Planning 2024 Implementation Study Guide: “Working with Pipelines” (docs.oracle.com, Published
2024-10-05).
Oracle EPM Cloud Documentation: “Automating Tasks with Pipelines” (docs.oracle.com, Published 2023-11-
30, updated for 2024).
NO.29 You want to Input data into Financials. For Financials, there is a predefined navigation flow with cards listed for both Revenue and Expenses. What is the sequence of the cards for Revenue and Expenses?
In Oracle Planning 2024, Financials provides a predefined navigation flow for entering data, organized into cards that guide users through the planning process for Revenue and Expenses. The navigation flow is designed to streamline data input and analysis, starting with high-level views and moving into detailed entry methods. According to the Oracle documentation, the default sequence of cards for Revenue and Expenses in Financials is: Overview, followed by Driver and Trend Based, Rolling Forecast, Direct Entry, and concluding with Income Statement.
* Overview: Provides a high-level summary of financial data, setting the context for planning.
* Driver and Trend Based: Allows users to input data based on drivers (e.g., units sold) or trends (e.g., historical patterns), a key method for revenue and expense planning.
* Rolling Forecast: Enables continuous forecasting over a defined period, integrating with driver-based inputs.
* Direct Entry: Permits manual data input for specific accounts or line items, offering flexibility.
* Income Statement: Consolidates all inputs into a financial statement view for review.
Option A accurately reflects this sequence as outlined in the Oracle Planning 2024 predefined navigation flow for Financials. Option B includes irrelevant cards like “Allocations” and “Strategic Top-Down,” which are not part of the default Financials Revenue and Expenses flow. Option C introduces “High Level Overview” and
“Detailed Overview,” which are not standard card names in this context. Option D includes “Allocations” and
“Detailed Bottom-Up,” which are more aligned with custom flows or other modules, not the default Financials sequence.
This sequence is part of the out-of-the-box Financials navigation flow, ensuring users follow a logical progression from overview to detailed input and final reporting.
References:
Oracle Planning 2024 Implementation Study Guide: “Working with Navigation Flows in Financials” (docs.
oracle.com, Published 2024-09-10).
Oracle EPM Cloud Documentation: “Planning Revenue and Expenses in Financials” (docs.oracle.com, Published 2023-11-15, updated for 2024).
NO.31 Which three are configuration or post-configuration tasks for Financials?
In Oracle Planning 2024, configuring and post-configuring the Financials module involves tasks to establish its structure and functionality. The three valid configuration or post-configuration tasks are:
* A. Adding custom expense driver categories: Incorrect. While Financials supports driver-based planning (e.g., revenue drivers), adding custom expense driver categories is not a standard configuration task-it’s more of a customization within forms or rules, not a core setup step.
* B. Adding custom dimensions: Correct. Adding custom dimensions (e.g., Region, Product) is a key configuration task in Financials to tailor the module to business needs, often done during or shortly after initial setup.
* C. Completing Planning and Forecast Preparation: Correct. This mandatory configuration task defines the planning periods, scenarios, and versions for Financials, setting the foundation for budgeting and forecasting.
* D. Setting up exchange rates (for multicurrency applications): Correct. For multicurrency-enabled Financials applications, configuring exchange rates is a critical task during or post-configuration to support currency conversion in financial planning.
* E. Removing custom dimensions: Incorrect. Removing dimensions is not a standard configuration or post-configuration task-it’s a rare adjustment that could disrupt existing data and is not recommended as part of setup.
The Oracle documentation identifies B, C, and D as essential tasks during or after Financials configuration, ensuring the module meets planning and reporting requirements.
References:
Oracle Planning 2024 Implementation Study Guide: “Financials Configuration Tasks” (docs.oracle.com, Published 2024-10-15).
Oracle EPM Cloud Documentation: “Setting Up Financials” (docs.oracle.com, Published 2023-12-15, updated for 2024).
NO.33 Which task must be completed before EPM administrators import a Machine Learning model into Planning?
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).
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