30. Cache memory consists of a small, fast memory that acts as a buffer for the DRAM. What is cache memory and how does it work? (A) Cache memory is a type of volatile memory that stores frequently used data to reduce the need to access slower storage media. (B) Cache memory is a type of non-volatile memory that stores data permanently. (C) Cache memory is used to store the operating system kernel. (D) Cache memory is slower than main memory. (E) Cache memory is used to store infrequently used data to speed up performance.

3. Suppose you are using the MNIST dataset to train a neural network model to recognize handwritten digits. Which of the following settings is practical? (A) To accelerate convergence, you can set the learning rate to 256 initially. (B) To make the model more generalized, you can randomly apply image mirroring with a probability of 1/2. (C) To avoid gradient explosion, you can limit the gradient size to 2. (D) To avoid difficulty in training the model, the order of the images should be fixed during training. (E) Since the goal of training is to classify digits from 0 to 9, which is a regression problem, you should set the number of output nodes to 1 and use mean square error as the loss function.

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