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Answer: Google Cloud Storage Coldline to store the data, and gsutil to access the data.
The question requires storing sales and tax records for 10 years with infrequent access by auditors, where cost optimization is the top priority. Google Cloud Storage Coldline (option A) is designed for long-term archival storage with very low storage costs, making it ideal for data that needs to be retained for years but accessed infrequently. The community discussion strongly supports A (80% consensus), citing Coldline's cost-effectiveness for archival data and its suitability for infrequent access over 10 years. While some comments mention Nearline (option B) for faster retrieval, Coldline is cheaper for long-term storage, aligning with the cost priority. Options C, D, and E involve services like Bigtable, BigQuery, or Cloud SQL, which are optimized for frequent access or transactional workloads and are more expensive, making them unsuitable for this cost-focused archival scenario. gsutil is appropriate for accessing stored data via command-line tools.
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You need to ensure Dress4Win's sales and tax records remain accessible for infrequent audits for a minimum of 10 years, with cost optimization as the primary goal. Which cloud storage services should you use?
A
Google Cloud Storage Coldline to store the data, and gsutil to access the data.
B
Google Cloud Storage Nearline to store the data, and gsutil to access the data.
C
Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
D
BigQuery to store the data, and a web server cluster in a managed instance group to access the data. Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.