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AI-300 Practice Test 4

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Design and implement an MLOps infrastructureeasy

A team trains a churn model on Parquet files that live in two different Azure Storage containers. Before every training run, the same steps must be applied: read both locations as one table, drop two unused columns, and keep only rows with a positive tenure. The team wants this loading logic stored once, and each registered version of the data must stay reproducible when new files arrive later. Which type of Azure Machine Learning data asset should they create?

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