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• Answer is A as they want to load logs for analytics and E for storing data in buckets for long term.

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  rishab862021/06/04

• Answers: A is correct because BigQuery is the fully managed cloud data warehouse for analytics and supports the analytics requirement. E is correct because Cloud Storage provides the Coldline storage class to support long-term storage with infrequent access, which would support the long-term disaster recovery backup requirement. https://cloud.google.com/bigquery/ https://cloud.google.com/stackdriver/ https://cloud.google.com/storage/docs/storage-classes#coldline https://cloud.google.com/sql/ https://cloud.google.com/bigtable/

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  andeu2021/12/16

• AE To archive approximately 100 TB of log data to the cloud and test the analytics features available while also retaining the data as a long-term disaster recovery backup, you can take the following steps:

  E: Upload log files into Google Cloud Storage: Google Cloud Storage is a scalable, durable, and fully-managed cloud storage service that can be used to store large amounts of data. You can upload your log files to Cloud Storage to archive them in the cloud.

  A: Load logs into Google BigQuery: Google BigQuery is a fully-managed, cloud-native data warehouse that can be used to analyze large amounts of data quickly and efficiently. You can load your log data into BigQuery to perform analytics on it and test the available analytics features.

  Other options, such as loading logs into Google Cloud SQL, importing logs into Google Stackdriver, or inserting logs into Google Cloud Bigtable, may not provide the necessary functionality for archiving and analyzing the log data.

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  omermahgoub2022/12/20