The out of the box control group functionality seems like the easiest method, but I wonder if it really guarantees the distribution we need across all age groups.
I feel like using a split activity could be a good approach, but I can't recall if setting record count limitations would really help achieve the 10% from each group.
I think modifying the target population query could work, but I’m not confident that it would ensure equal representation across age groups like we practiced.
I'm a little confused by the wording of the question. Is it asking about the benefits of clusters in general, or specifically in the context of LabVIEW? I'll need to re-read the question and options to make sure I understand what they're asking.
Hmm, I'm a bit unsure about this one. I'm not familiar with the Generate an app from data feature, so I'll need to review the details on that. The other options like a custom action in Common Data Service or Power Apps Checker also seem potentially relevant.
A is the way to go! Nothing beats a good ol' exclusion activity to get the job done. Plus, it sounds like a great opportunity to show off my query skills.
A) Use a query activity to query the target population and another query activity to obtain the desired control group. Then use an exclusion activity to get the exclusive target.
C) Use a query activity to obtain the target population and send to a split activity to remove each age group with record count limitation set as random.
A) Use a query activity to query the target population and another query activity to obtain the desired control group. Then use an exclusion activity to get the exclusive target.
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