What should you do?

You have a large 5-TB AVRO file stored in a Cloud Storage bucket. Your analysts are proficient only in SQL and need access to the data stored in this file. You want to find a cost-effective way to complete their request as soon as possible.

What should you do?
A . Load data in Cloud Datastore and run a SQL query against it.
B . Create a BigQuery table and load data in BigQuery. Run a SQL query on this table and drop this table after you complete your request.
C . Create external tables in BigQuery that point to Cloud Storage buckets and run a SQL query on these external tables to complete your request.
D . Create a Hadoop cluster and copy the AVRO file to NDFS by compressing it. Load the file in a hive table and provide access to your analysts so that they can run SQL queries.

Answer: C

Explanation:

https://cloud.google.com/bigquery/external-data-sources

An external data source is a data source that you can query directly from BigQuery, even though the data is not stored in BigQuery storage.

BigQuery supports the following external data sources:

Amazon S3

Azure Storage

Cloud Bigtable

Cloud Spanner

Cloud SQL

Cloud Storage

Drive