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this is one of the review questions in Chapter 3 in the book "Official Google Cloud Certified Professional Machine Learning Engineer Study Guide". tf.data.Dataset.prefetch transformation decouples the time when data is produced to the time when data is consumed so it can reduce the latency. Also the transformation can reduce the memory usage. By the way, tf.data.Dataset.interleave transformation can also used to reduce the latency and memory usage.
D) Storing images in TFRecords optimises storage for images.
tf.data.Dataset is for data in memory. tf.data.TFRecordDataset is for data in non-memory storage.