Microsoft Azure Data Fundamentals DP-900 Practice Question

A hopping window lets you specify both a window length and a hop size. Setting a five-second window length with a one-second hop creates overlapping windows: each new window starts one second after the previous one, but still covers the last five seconds of data. This produces a new, updated average every second. Tumbling windows are non-overlapping, so results would appear only once every five seconds. Sliding windows emit results only when events enter or leave the window, so they do not guarantee output on a fixed schedule. Session windows group bursts of activity separated by idle gaps and are not appropriate for fixed-interval aggregation.