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You are migrating a table to BigQuery and are deeding on the data model.

You are migrating a table to BigQuery and are deeding on the data model. Your table stores information related to purchases made across several store locations and includes information like the time of the transaction, items purchased, the store ID and the city and state in which the store is located You frequently query this table to see how many of each item were sold over the past 30 days and to look at purchasing trends by state city and individual store. You want to model this table to minimize query time and cost. What should you do?

A.

Partition by transaction time; cluster by state first, then city then store ID

B.

Partition by transaction tome cluster by store ID first, then city, then stale

C.

Top-level cluster by stale first, then city then store

D.

Top-level cluster by store ID first, then city then state.

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