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Answer: Upload the data to Cloud Storage using the gsutil command line tool.
The correct answer is B. Google Cloud Storage (GCS) is the recommended service for storing unstructured data like files, images, and backups. It supports different file formats and provides a scalable, cost-effective storage solution. Cloud Storage is ideal for storing raw data that needs to be processed with ETL (Extract, Transform, Load) transformations. Once the data is in Cloud Storage, it can be easily accessed and processed by a Dataflow job.
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Your company is dealing with extensive volumes of unstructured data residing in various file formats. The objective is to execute ETL (Extract, Transform, Load) transformations on this data. To achieve this, the data must be made accessible on Google Cloud for subsequent processing by a Dataflow job. What steps should you take to accomplish this?
A
Upload the data to BigQuery using the bq command line tool.
B
Upload the data to Cloud Storage using the gsutil command line tool.
C
Upload the data into Cloud SQL using the import function in the console.
D
Upload the data into Cloud Spanner using the import function in the console.
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