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PROFESSIONAL-DATA-ENGINEER · Question #132

Your platform on your on-premises environment generates 100 GB of data daily, composed of millions of structured JSON text files. Your on-premises environment cannot be accessed from the public…

The correct answer is C. Use Transfer Service for on-premises data to copy data from your on-premises environment to Cloud Storage. Use the BigQuery Data Transfer Service to. Explanation/Reference: Your on-premises environment cannot be accessed from the public internet. It signifies that we can apply private connection like Cloud Interconnect. https://cloud.google.com/network-connectivity/docs/interconnect/concepts/overview

Submitted by ravi_2018· Mar 30, 2026Building and operationalizing data processing systems

Question

Your platform on your on-premises environment generates 100 GB of data daily, composed of millions of structured JSON text files. Your on-premises environment cannot be accessed from the public internet. You want to use Google Cloud products to query and explore the platform data. What should you do?

Options

  • AUse Cloud Scheduler to copy data daily from your on-premises environment to Cloud Storage. Use the BigQuery Data Transfer Service to import data into
  • BUse a Transfer Appliance to copy data from your on-premises environment to Cloud Storage. Use the BigQuery Data Transfer Service to import data into
  • CUse Transfer Service for on-premises data to copy data from your on-premises environment to Cloud Storage. Use the BigQuery Data Transfer Service to
  • DUse the BigQuery Data Transfer Service dataset copy to transfer all data into BigQuery.

How the community answered

(25 responses)
  • A
    4% (1)
  • B
    16% (4)
  • C
    76% (19)
  • D
    4% (1)

Explanation

Explanation/Reference: Your on-premises environment cannot be accessed from the public internet. It signifies that we can apply private connection like Cloud Interconnect. https://cloud.google.com/network-connectivity/docs/interconnect/concepts/overview

Topics

#Transfer Service#Cloud Storage#BigQuery#on-premises migration

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