Quiz: TensorFlow Basics

1. Given a tensor of rank `3`, what its shape can look like?

2. For a tensor of shape `(1, 4)`, can you identify its rank?

3. Which of the following tensors corresponds to the data type `uint32`?

4. Which of the following is true about the matrix multiplication (dot product) compatibility rule?

5. Which of the following is an alternative to matrix multiplication using `tf.matmul`?

6. What does the slice `X[:, 2]` represent for a matrix?

7. Which of the following operations can be used to combine multiple tensors?

8. In a reduction operation, if we don't specify an axis:

9. Which command calculates the mean value of a tensor?

10. A website tracks user activities for `50` users over a month (`30` days). Every day, it logs `10` different metrics (like time spent on site, clicks, purchases, etc.) for each user (`15000` values in total). What tensor shape encapsulates this data?

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