An organization wants to use multiple marketing datasets to forecast user acquisition. How should they use cloud technology to gain new insights from the data?
A.
Import the datasets into a custom data warehouse, and then archive old data
B.
Import and selectively archive the datasets in a custom data lake
C.
Separate the datasets and make predictions using machine learning
D.
Combine the datasets and make predictions using machine learning
Machine learning uses a test dataset to create the model and a validation dataset to test it. Combining them first makes sense if you then stipulate the validation dataset is extracted from the combined set, but in that case why combine them. i voted D.
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