Question: When we attempt to use Stochastic Gradient Descent ( SGD ) to learn value functions and use a bootstrapped target ( using TD learning )

When we attempt to use Stochastic Gradient Descent (SGD) to learn value functions and use a bootstrapped target (using TD learning), the technique used is referred to in the book as a semi-gradient method.
Which of the following properties of semi-gradient techniques hold?

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