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Oracle Planning 2024 Implementation Professional Sample Questions (Q11-Q16):
NEW QUESTION # 11
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?
- A. Multivariate Prediction
- B. Source Prediction
- C. Dimension Prediction
- D. Forecast Prediction
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.
References:
* 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 # 12
You want to select a probability distribution for your Strategic Modeling simulation. The minimum and maximum are fixed, and you know the most likely values.
Which probability distribution is useful with limited data in situations such as sales estimates, inventory numbers, and marketing costs in Strategic Modeling simulations?
- A. Uniform
- B. Triangular
- C. Normal
- D. Beta PERT
- E. Lognormal
Answer: B
Explanation:
In Oracle Planning 2024's Strategic Modeling simulations, selecting a probability distribution for scenarios with fixed minimum and maximum values and a known most likely value (e.g., sales estimates, inventory, marketing costs) points to:
A: Beta PERT: Incorrect. Beta PERT uses min, max, and most likely values but requires more data to shape the curve accurately, making it less ideal with limited data.
B: Uniform: Incorrect. Uniform assumes equal probability between min and max, ignoring the most likely value, which doesn't fit this scenario.
C: Triangular: Correct. The Triangular distribution uses minimum, maximum, and most likely values, making it simple and effective for limited data situations like sales or costs.
D: Normal: Incorrect. Normal requires mean and standard deviation, not just min, max, and most likely, and assumes more data availability.
E: Lognormal: Incorrect. Lognormal is skewed and suited for data with a positive range, requiring more statistical input than provided here.
C: The Oracle documentation recommends the Triangular distribution for its simplicity and suitability with limited data, making C the correct answer.
References:
Oracle Planning 2024 Implementation Study Guide: "Probability Distributions in Strategic Modeling" (docs.oracle.com, Published 2024-10-25).
Oracle EPM Cloud Documentation: "Simulation Distributions" (docs.oracle.com, Published 2023-11-
30, updated for 2024).
NEW QUESTION # 13
Which configuration task is NOT mandatory in Workforce?
- A. Workforce Assumptions
- B. Benefits and Taxes
- C. Employee Type
- D. Planning and Forecast Preparation
Answer: B
Explanation:
In Oracle Planning 2024's Workforce module, certain configuration tasks are mandatory to enable basic functionality, while others are optional depending on the organization's needs. The task that is not mandatory is:
* A. Employee Type: Incorrect. Defining Employee Type (e.g., full-time, part-time) is mandatory because it establishes the categories of employees to be planned, forming the foundation of workforce data.
* B. Planning and Forecast Preparation: Incorrect. This task is mandatory as it sets up the planning periods, scenarios, and versions, which are essential for Workforce to function within the broader Planning application.
* C. Benefits and Taxes: Correct. Configuring Benefits and Taxes is optional. While Workforce provides predefined options to calculate benefits (e.g., health insurance) and taxes (e.g., payroll taxes), organizations can choose not to configure these if they do not need detailed compensation planning beyond salaries.
* D. Workforce Assumptions: Incorrect. Workforce Assumptions (e.g., hiring rates, salary increases) are mandatory to drive calculations and populate employee data over time.
The Oracle documentation specifies that while Benefits and Taxes enhance Workforce planning, they are not required for core functionality, making C the non-mandatory task.
References:
* Oracle Planning 2024 Implementation Study Guide: "Configuring Workforce Module" (docs.oracle.
com, Published 2024-10-01).
* Oracle EPM Cloud Documentation: "Workforce Configuration Tasks" (docs.oracle.com, Published
2023-11-20, updated for 2024).
NEW QUESTION # 14
Which Mass Update form in Workforce allows you to update employee properties, job properties, or salary- related information?
- A. Synchronize Definitions
- B. Process Data and Synchronize Defaults
- C. Synchronize Defaults
- D. Process Updated Data
Answer: A
Explanation:
In the Oracle Planning 2024 Workforce module, theSynchronize DefinitionsMass Update form is the tool provided to update employee properties, job properties, or salary-related information in bulk. This form allows administrators to modify and synchronize metadata definitions across multiple employees or jobs efficiently, ensuring consistency in workforce planning data.
* D. Synchronize Definitions: This form enables updates to employee properties (e.g., status, department), job properties (e.g., job code, title), and salary-related information (e.g., salary basis, grade). It is designed to handle mass updates to metadata and ensure that changes are reflected across the Workforce model.
* A. Synchronize Defaults: This option is related to applying default assumptions or settings to data, not specifically for updating employee, job, or salary properties.
* B. Process Updated Data: This form focuses on processing data changes (e.g., recalculating costs after data entry), not on updating properties or definitions.
* C. Process Data and Synchronize Defaults: This is a combined action that processes data and applies defaults, but it does not specifically target updates to employee properties, job properties, or salary information.
TheSynchronize Definitionsform stands out as the correct choice because it directly addresses bulk updates to workforce metadata, aligning with the question's focus on properties and salary-related information.
References
* Oracle Enterprise Performance Management Cloud Documentation: "Managing Workforce - Mass Update Forms" (docs.oracle.com, updated 2024). Describes the "Synchronize Definitions" form as the tool for updating "employee properties, job properties, and salary-related information."
* Oracle Planning 2024 Implementation Study Guide: Confirms that "Synchronize Definitions" is the Mass Update form for modifying workforce metadata.
NEW QUESTION # 15
Which two types of Groovy Rules are supported by Oracle?
- A. Rules that overwrite member formulas that combine operators and calculation functions, and perform calculations on members in Dimension Editor
- B. Rules that dynamically calculate data and perform validation checks in tile charts and infolets
- C. Pure Groovy rules that can perform data validations and cancel the operation if the data entered violates company policies
- D. 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
Answer: C,D
Explanation:
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).
NEW QUESTION # 16
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