You are deploying a legacy application that requires a specific older version of a Linux kernel and cannot run in a container. The application requires high disk I/O and will run 24/7 for the next 3 years. What is the MOST cost-effective compute strategy?

Answer options:

Google Kubernetes Engine with Local SSDs.

Compute Engine with a custom image and a 3-year Committed Use Discount.

App Engine Flexible environment.

Compute Engine with Sustained Use Discounts.

How to approach this question

Identify the service that supports custom kernels (Compute Engine) and the pricing model for long-term 24/7 usage (CUD).

Full Answer

B.Compute Engine with a custom image and a 3-year Committed Use Discount.✓ Correct

Compute Engine with a custom image and a 3-year Committed Use Discount.

Because the application requires a specific kernel and cannot be containerized, Compute Engine (IaaS) is required. You can use a custom image to support the older kernel. Since the workload is predictable and will run 24/7 for 3 years, purchasing a 3-year Committed Use Discount (CUD) will provide the maximum cost savings (up to 57-70% off).

Common mistakes

Relying on Sustained Use Discounts, which offer less savings than a commitment.

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