The correct option is Generate predictions.

Generate predictions means applying a trained model and the same preprocessing steps to new input records so the model can produce label values or scores for those records. This step is commonly called scoring or inference and it is exactly what a production scoring workflow performs.

Measure correlation refers to quantifying relationships between variables and not to using a trained model to assign labels, so it is incorrect.

Compute a sum describes a basic arithmetic aggregation and not the process of running a model to produce predictions, so it is incorrect.

Make an estimate is an informal phrase that could loosely describe prediction in everyday language but it is not the precise machine learning term the question asks for, so it is incorrect.

Calculate an average is a statistical aggregation operation and does not describe model inference or scoring, so it is incorrect.

Full AWS Practitioner Certification Question