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Google Cloud Certified Associate Cloud Engineer · Google Cloud
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Both Gemini and Claude.ai wotes for B. You need to run a reverse proxy server in this can you can eliminate A.
You need 30 GB of in-memory cache plus an additional 2 GB for other processes. The solution should minimize cost while fulfilling the memory requirements. Option Analysis: A. Create a Cloud Memorystore for Redis instance with 32-GB capacity: Incorrect: While Memorystore is designed for caching, it does not meet the requirement to host an HTTP reverse proxy. Memorystore is only a caching layer, not a compute platform for running processes. B. Run it on Compute Engine with a custom instance type: Correct: Compute Engine allows you to specify a custom machine type tailored to your exact resource requirements (e.g., 6 vCPUs and 32 GB of memory). This minimizes cost compared to using a predefined machine type. The reverse proxy can run directly on the Compute Engine instance, and the memory requirements are fulfilled.
Im choice B because the question is `This specific reverse proxy consumes almost no CPU. You want to have a 30-GB in-memory cache, and need an additional 2 GB of memory for the rest of the processes`, they need additional 2 GB of memory for the rest of the processes and maybe cannot running at Redis.