As a diagnostic analytics expert, I can tell you that A is the correct answer. The other options have some good elements, but they're missing key components. Easy peasy!
I'm torn between A and D. Both seem to cover the key aspects, but D's use of machine learning to find patterns is an interesting twist. Hmm, decisions, decisions...
Option A looks good to me. Identifying anomalies, collecting related data, and discovering trends to explain them - that's the essence of diagnostic analytics, isn't it?
Gwenn
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