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GCP Cloud Digital Leader Practice Question

Your retail analytics team must store years of raw click-stream logs, product images, and IoT sensor files while keeping costs low. They do not want to define a schema until analysts are ready to explore the information. In Google Cloud, which approach best meets this need?

  • Insert the data into Cloud SQL so the relational engine can enforce ACID transactions on each record.

  • Load all data into BigQuery tables after defining fixed schemas for every file type.

  • Save the raw files in Cloud Spanner to gain global strong consistency for analytics workloads.

  • Store the files in Cloud Storage and treat the bucket as a data lake, applying schemas only when the data is queried.

GCP Cloud Digital Leader
Exploring Data Transformation with Google Cloud
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