Full Detailed in Depth Explanation:
Oracle Workforce Predictions uses machine learning to forecast workforce trends, such as terminations and performance, based on historical data.
Option A ("Performance predictions are available for both teams and individual assignments"): True. Workforce Predictions provides performance insights at both individual and team levels, allowing managers to assess potential outcomes across assignments, as noted in the "Using Workforce Predictions" guide.
Option C ("It predicts individual voluntary termination and performance"): True. The tool specifically predicts voluntary terminations (e.g., resignations) and performance for individuals, a core feature highlighted in Oracle documentation.
Option D ("It predicts team voluntary termination and performance"): True. Predictions extend to team-level voluntary termination rates and performance trends, supporting broader workforce planning.
Option B ("Contingent Worker and Nonworker work relationships are included"): False. Workforce Predictions typically focuses on employees; contingent workers and nonworkers (e.g., contacts) are not included in standard prediction models unless explicitlyconfigured.
Option E ("It predicts team/individual involuntary termination and performance"): False. The tool emphasizes voluntary terminations, not involuntary (e.g., layoffs), as its primary predictive focus.
[References:, "Oracle Human Resources Cloud: Using Workforce Predictions" – Overview of prediction capabilities., "Oracle Global Human Resources Cloud: Implementing Workforce Predictions" – Scope and limitations., , ]