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You work for an airline and you need to store weather data in a BigQuery...

You work for an airline and you need to store weather data in a BigQuery table Weather data will be used as input to a machine learning model. The model only uses the last 30 days of weather data. You want to avoid storing unnecessary data and minimize costs. What should you do?

A.

Create a BigQuery table where each record has an ingestion timestamp Run a scheduled query to delete all the rows with an ingestion timestamp older than 30 days.

B.

Create a BigQuery table partitioned by ingestion time Set up partition expiration to 30 days.

C.

Create a BigQuery table partitioned by datetime value of the weather date Set up partition expiration to 30 days.

D.

Create a BigQuery table with a datetime column for the day the weather data refers to. Run a scheduled query to delete rows with a datetime value older than 30 days.

Google Professional-Data-Engineer Summary

  • Vendor: Google
  • Product: Professional-Data-Engineer
  • Update on: Mar 15, 2026
  • Questions: 400
Price: $52.5  $149.99
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