Practice Test 1 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
You have a massively multiplayer online (MMO) game which sends events from each player every 10 seconds. Events contain stats about the player session’s state (play, idle, off) as well as ping duration. You want to use Dataflow for windowing. The purpose is to aggregate events and extracting stats to detect how many players are currently online and what is the average ping duration for each server in a time window of 30 seconds.
Which windowing function you should choose to design the pipeline?
A. Fixed-time window.
B. Sliding-time window.
C. Per-session window.
D. Single global window.
Answer: B.
A sliding time window uses time intervals in the data stream to define bundles of data. However, with sliding time windowing, the windows overlap. Each window might capture five minutes worth of data, but a new window starts every ten seconds. The frequency with which sliding windows begin is called the period. Therefore, our example would have a window size of five minutes and a period of ten seconds.
Sliding-time window is the windowing function recommended for this scenario.
Option A, C and D are incorrect as the other window mechanisms, we would not be able to capture all the data points because of the “period”.
Source(s):
Windowing Functions: https://cloud.google.com/dataflow/model/windowing#windowing-functions
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