In Oracle Planning 2024 Implementation's Workforce module, configuring merit-related settings for employees involves specifying eligibility criteria and timing, such as a hire date cutoff for existing employees to receive merit increases and the month when merit adjustments begin. The Merit Assumptions option is the correct choice for this purpose.
* B. Merit Assumptions: This feature allows administrators to define merit-related parameters, including the "hire by" date (the date by which employees must be hired to be eligible for merit) and the "merit start month" (the month when merit increases take effect). It provides a centralized way to set these assumptions, ensuring they are applied consistently across the workforce plan.
* A. Workforce Assumptions: This option covers broader workforce settings (e.g., default hire dates, salary assumptions), but it does not specifically address merit eligibility or timing details like hire-by dates or merit start months.
* C. Merit Rates: This pertains to defining the percentage or amount of merit increases, not the eligibility dates or start month for merit application.
* D. Merit Month: While this might seem relevant, "Merit Month" is not a standalone option in Workforce. It is a setting typically configured within Merit Assumptions, not an independent feature.
The Merit Assumptions option is explicitly designed to handle these merit-specific configurations, making it the most suitable choice.
References
* Oracle Enterprise Performance Management Cloud Documentation: "Administering Workforce - Merit Assumptions" (docs.oracle.com, updated 2024). States that "Merit Assumptions allow setting the hire- by date for merit eligibility and the merit start month."
* Oracle Planning 2024 Implementation Study Guide: Confirms that Merit Assumptions is used to specify eligibility criteria and timing for merit increases in Workforce.

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.
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).