Q: 19
The recruiting team at Cumulus Financial wants to identify which candidates have browsed the jobs
page on its website at least twice within the last 24 hours. They want the information about these
candidates to be available for segmentation in Data Cloud and the candidates added to their
recruiting system.
Which feature should a consultant recommend to achieve this goal?
Options
Discussion
Isn't there some overlap between B and C here? Calculated insight works for segmentation too, just not in real-time. If the team doesn't need instant updates, why not C? Or does segmentation on Data Cloud always need streaming for time window logic like this?
B
C or B. I was thinking Calculated insight (C) since it's used for aggregating events and exposing them for segmentation, but maybe the real-time trigger needed here pushes it more toward B. My assumption was that C could be scheduled frequently enough, but perhaps that's a trap option. Open to being corrected.
Maybe B. Encountered exactly similar question in my exam and Streaming Insight was the pick there for real-time event aggregation over a window. Pretty sure that's what fits best here but open to corrections if I'm missing something.
Its B, only streaming insight does rolling window event counts instantly for segmentation. D if they only needed daily updates.
B instant segmentation needs streaming insight. Batch or calculated insight won’t give that real-time trigger.
C/D? Trick is if they're ok with batch not real-time, D flips correct. But for instant segments, B is the right fit.
Streaming insight is the way to go here, so B. It tracks behavior in near real-time across a rolling window like 24 hours. Calculated insight (C) is more for batch/calculated stuff, not event triggers this tight. Pretty sure about B but open to pushback if I missed something.
I’d actually say C here, since calculated insight also handles user actions over time and works for segmentation.
Its B, similar question shows up on official practice. Look for "streaming insight" in the Data Cloud docs.
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