An organization is starting to move its infrastructure from its on-premises environment to Google Cloud Platform (GCP)
The first step the organization wants to take is to migrate its current data backup and disaster recovery solutions to GCP for later analysis.
The organization's production environment will remain on- premises for an indefinite time.
The organization wants a scalable and cost-efficient solution.
Which GCP solution should the organization use?
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A. B. C. D.A.
Option B, Cloud Storage using a scheduled task and gsutil, is the most suitable GCP solution for the organization's requirement of migrating their data backup and disaster recovery solutions to GCP for later analysis.
Here's a detailed explanation:
Option A: BigQuery using a data pipeline job with continuous updates BigQuery is a fully managed data warehouse that enables organizations to store and analyze large amounts of data. However, BigQuery is primarily designed for storing and analyzing structured data, whereas data backup and disaster recovery solutions typically involve unstructured data. Additionally, BigQuery may not be the most cost-effective solution for storing backups since it charges for data storage and query processing.
Option B: Cloud Storage using a scheduled task and gsutil Cloud Storage is a scalable and cost-effective object storage solution that can store and serve unstructured data such as backups. gsutil is a command-line tool for interacting with Cloud Storage. Using a scheduled task, an organization can schedule a job that runs gsutil to upload backups to Cloud Storage. The backups can then be accessed and analyzed later. Cloud Storage provides features such as versioning, lifecycle management, and object-level permissions that are essential for backup and disaster recovery solutions.
Option C: Compute Engine Virtual Machines using Persistent Disk Compute Engine Virtual Machines (VMs) are suitable for hosting applications and services, but they may not be the best solution for backup and disaster recovery solutions. Hosting backups on Compute Engine VMs can be costly, and managing the backups can be complex since it involves managing the underlying infrastructure.
Option D: Cloud Datastore using regularly scheduled batch upload jobs. Cloud Datastore is a NoSQL document database that can store and serve structured data. Similar to BigQuery, Cloud Datastore may not be the most suitable solution for storing unstructured backups. Additionally, Cloud Datastore can be expensive for storing large amounts of data since it charges for data storage and operations.
In conclusion, Cloud Storage using a scheduled task and gsutil is the most suitable GCP solution for the organization's requirement of migrating their data backup and disaster recovery solutions to GCP for later analysis, given its scalability, cost-efficiency, and features essential for backup and disaster recovery solutions.