Google Associate Cloud Engineer

Google Associate Cloud Engineer

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You have a locally hosted data analytics toolkit that processes data files in memory for about 50 minutes each night, with data sizes ranging from 1GB to 20GB. What is the most efficient and cost-effective way to migrate this toolkit to Google Cloud?




Explanation:

Option D is correct because migrating the application to a virtual machine (VM) on Compute Engine and using an instance schedule to manage the VM's operation times aligns with the need for minimal effort and cost. This approach is suitable for long-running tasks like data analytics, which runs for a specific duration each night. Compute Engine VMs can handle the workload efficiently without the need for additional container orchestration or serverless platforms that may not be optimized for such tasks. Options A, B, and C involve more complex setups or platforms not ideal for long-running processes, making them less efficient and potentially more costly for this scenario.