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Google Professional Data Engineer

Google Professional Data Engineer

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You are ingesting data that is spread out over a wide range of dates into BigQuery at a fast rate. You need to partition the table to make queries performant.

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Explanation:

Feedback: A. Correct. A daily partition type is the most suitable given the volume of the data and the range of dates. B. Incorrect. A yearly partition type has too much data per partition, which makes queries inefficient. C. Incorrect. An integer-range partition type is not appropriate given that the data is defined by dates. D. Incorrect. A yearly partition type has too much data per partition, which makes queries inefficient.

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