Which of the following are advantages of using Random Forest over a single Decision Tree?

Question $1$ options:

Capability to handle large datasets with higher dimensionality

Lower variance and reduced risk of overfitting

Enhanced interpretability of the model

Inability to use bootstrapping techniques

Automatic feature selection