You have an Azure Synapse Analytics dataset that contains data about jet engine performance. You need to score the dataset to identify the likelihood of an engine failure. Which function should you…

PIVOT is used for transforming rows into columns for aggregation, not for model scoring.

GROUPING is used with GROUP BY clauses to distinguish between NULLs resulting from super-aggregate rows and regular NULLs, not for machine learning predictions.

PREDICT is specifically designed for operationalizing machine learning models within SQL queries in Azure Synapse Analytics. It allows users to apply a previously trained model, such as one for identifying engine failure likelihood, to new data directly within a SQL script, returning predictions as part of the query result.

CAST is used for converting an expression of one data type to another, which is unrelated to scoring a dataset with a machine learning model.