google · Professional-Data-Engineer · Q427 · multiple_choice · topic_1

You need to copy millions of sensitive patient records from a relational database to BigQuery. The total size of the da…

You need to copy millions of sensitive patient records from a relational database to BigQuery. The total size of the database is 10 TB. You need to design a solution that is secure and time-efficient. What should you do?

A.Export the records from the database as an Avro file. Upload the file to GCS using gsutil, and then load the Avro file into BigQuery using the BigQuery web UI in the GCP Console.
B.Export the records from the database as an Avro file. Copy the file onto a Transfer Appliance and send it to Google, and then load the Avro file into BigQuery using the BigQuery web UI in the GCP Console.
C.Export the records from the database into a CSV file. Create a public URL for the CSV file, and then use Storage Transfer Service to move the file to Cloud Storage. Load the CSV file into BigQuery using the BigQuery web UI in the GCP Console.
D.Export the records from the database as an Avro file. Create a public URL for the Avro file, and then use Storage Transfer Service to move the file to Cloud Storage. Load the Avro file into BigQuery using the BigQuery web UI in the GCP Console.

Explanation

You are transferring sensitive patient information, so C & D are ruled out. Choice comes down to A & B. Here it gets tricky. How to choose Transfer Appliance: (https://cloud.google.com/transfer-appliance/docs/2.0/overview) Without knowing the bandwidth, it is not possible to determine whether the upload can be completed within 7 days, as recommended by Google. So the safest and most performant way is to use Transfer Appliance. Therefore my choice is B.

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