Summer Special Limited Time 60% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: 8w52ceb345

For this question, refer to the TerramEarth case study.

Google Professional-Cloud-Architect Full Course Access
Google Professional-Cloud-Architect View All Questions

For this question, refer to the TerramEarth case study.

TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry data. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?

A.

Have the vehicle’ computer compress the data in hourly snapshots, and store it in a Google Cloud storage (GCS) Nearline bucket.

B.

Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery.

C.

Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.

D.

Have the vehicle's computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.

Professional-Cloud-Architect PDF/Engine
  • Printable Format
  • Value of Money
  • 100% Pass Assurance
  • Verified Answers
  • Researched by Industry Experts
  • Based on Real Exams Scenarios
  • 100% Real Questions
buy now Professional-Cloud-Architect pdf
Get 60% Discount on All Products, Use Coupon: "8w52ceb345"
Next
For this question refer to the TerramEarth case study.
For this question, refer to the TerramEarth case study.
Previous