You decided to use Cloud Datastore to ingest vehicle telemetry data in real time. You want to build a storage system that will account for the long-term data growth, while keeping the costs low. You also want to create snapshots of the data periodically, so that you can make a point-in-time (PIT) recovery, or clone a copy of the data for Cloud Datastore in a different environment. You want to archive these snapshots for a long time. Which two methods can accomplish this? (Choose two.)

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A. Use managed export, and store the data in a Cloud Storage bucket using Nearline or Coldline class. B. Use managed export, and then import to Cloud Datastore in a separate project under a unique namespace reserved for that export.

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C. Use managed export, and then import the data into a BigQuery table created just for that export, and delete temporary export files.

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D. Write an application that uses Cloud Datastore client libraries to read all the entities.

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E. Write an application that uses Cloud Datastore client libraries to read all the entities.

You decided to use Cloud Datastore to ingest vehicle telemetry data in real time. You want to build a storage system that will account for the long-term data growth, while keeping the costs low. You…

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