A cloud solutions architect has an environment that must only be accessed during work hours. Which of the following processes should be automated to best reduce cost?
A.
Scaling of the environment after work hours
B.
Implementing access control after work hours
C.
Shutting down the environment after work hours
D.
Blocking external access to the environment after work hours
Explanation:
Cloud providers charge for compute resources (such as virtual machines, containers, and databases) as long as they are running. To reduce costs, the best approach is to automate the shutdown of the environment when it is not needed (after work hours).
✔ Shutting down the environment ensures that compute resources are not consuming billable usage when they are not actively needed.
✔ Most cloud platforms provide scheduling tools (e.g., AWS Lambda, Azure Automation, Google Cloud Scheduler) to automate start/stop tasks based on time.
✔ This method significantly reduces cloud expenses by eliminating unnecessary resource usage.
D. Migrate the data to flash storage
Explanation:
Flash storage (such as SSDs) offers significantly higher performance and lower latency compared to NL-SAS (Near Line Serial Attached SCSI) storage. Migrating the data to flash storage can address the high application latency issue more effectively than other options. Flash storage provides faster read/write speeds, which can improve the overall performance of the critical application.
C. Shutting down the environment after work hours
Automating the process of shutting down the environment after work hours is the best option to reduce costs in this scenario. By automatically shutting down the environment during non-working hours, the architect can avoid paying for compute resources that are not being utilized. This approach can result in significant cost savings, especially for environments with high resource consumption during working hours and minimal usage during non-working hours.
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