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Answer: Load test the application to profile its performance for scaling.
To prepare for the upcoming peak traffic season following Google-recommended practices, the first step should be to understand the current performance and scaling capabilities of the application under load. This involves load testing the application to profile its performance for scaling (Option C). Load testing helps identify bottlenecks and the application's behavior under stress, which is crucial for making informed decisions about scaling and infrastructure changes. While migrating to Cloud Run with autoscaling (Option A) and creating Terraform configurations for quick deployment (Option B) are good practices, they should be considered after understanding the application's performance through load testing. Pre-provisioning compute power based on last season's usage (Option D) is not a scalable or efficient approach, as it does not account for potential growth or changes in traffic patterns.
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To prepare your ecommerce application on Google Cloud for the upcoming peak traffic season following Google-recommended practices, what is the first step you should take?
A
Migrate the application to Cloud Run, and use autoscaling.
B
Create a Terraform configuration for the application's underlying infrastructure to quickly deploy to additional regions.
C
Load test the application to profile its performance for scaling.
D
Pre-provision the additional compute power that was used last season, and expect growth.