
Google Associate Cloud Engineer
Get started today
Ultimate access to all questions.
When migrating an on-premise customer-facing application to GCP that stores its full database in-memory to minimize latency, how should you configure the resources on GCP?
When migrating an on-premise customer-facing application to GCP that stores its full database in-memory to minimize latency, how should you configure the resources on GCP?
Real Exam
Explanation:
The correct answer is D because the M1 machine type is designed for memory-intensive workloads, providing a high memory-to-CPU ratio. This makes it ideal for applications requiring the full database to be stored in memory for fast access and minimal latency.
- A is incorrect as GPUs are for tasks requiring heavy parallel computing, not for improving RAM performance.
- B is incorrect because local SSDs, while offering high IOPS and low latency, are ephemeral and do not persist data after instance shutdown.
- C is incorrect since preemptible instances can shut down at any time, risking data loss for applications needing constant memory access.
For more details, refer to GCP's machine types documentation.