Q: 14
A manufacturing company needs to collect time-series operational data from
50,000 factory floor sensors. The data is small, high-volume, and constantly
streaming. The data needs to be aggregated and analyzed in real-time. Which two
services should form the core of the ingestion and analysis pipeline?
Options
Discussion
Makes sense to go with D here. Pub/Sub is built for high-throughput streaming ingestion, and Dataflow does real-time aggregation and analytics-matches exactly what the question asks about. Saw similar logic in some practice tests. Pretty sure that's the combo they'd expect on the exam.
C vs D but I'd probably pick C here, since Bigtable is meant for handling high-volume time-series data and Compute Engine can run custom analysis jobs. Pub/Sub and Dataflow sound good, but not sure they're the best for complex analytics. Open to pushback if someone has used Pub/Sub/Dataflow in a similar factory IoT setup.
Probably B, since Stackdriver handles real-time metrics with low latency. If the question said "periodic" instead of "real-time," then A or C might make sense. Does the customer actually need second-by-second updates or just near real-time?
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