Question from the Machine learning - Fundamentals test

It is an ensemble machine learning algorithm

Many models are independently created on the training data before to be combined to create one final optimal model (it is not sequential)

An initial model is created and is then improved sequentially using other machine learning models until reaching an optimal model

The final model is a weighted sum of all the models initially created

Stacking less efficient than boosting (other ensemble learning algorithm)