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Answer: Implementing Azure Reserved Virtual Machine Instances for predictable workloads, Scaling down or shutting down underutilized resources identified through usage analysis
Understanding the usage patterns of Azure resources is crucial for cost optimization. Implementing Azure Reserved Virtual Machine Instances for predictable workloads can significantly reduce costs by committing to a one or three-year term. Additionally, scaling down or shutting down underutilized resources identified through usage analysis can lead to immediate cost savings. Tools like Azure Cost Management can assist in analyzing usage patterns and recommending cost-saving measures, making it an essential tool for cost optimization. Ignoring usage patterns or increasing the size of all virtual machines without proper analysis can lead to unnecessary expenses.
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In the context of optimizing costs for an existing Azure deployment, consider the following scenario: A company has noticed an unexpected increase in their Azure bill over the past few months. They are looking to identify cost-saving opportunities without compromising the performance of their applications. Which of the following strategies, when combined with understanding usage patterns of Azure resources, would MOST effectively lead to cost savings? (Choose two options.)
A
Increasing the size of all virtual machines to ensure they are never underutilized
B
Implementing Azure Reserved Virtual Machine Instances for predictable workloads
C
Using Azure Cost Management to analyze and optimize resource usage
D
Ignoring usage patterns and focusing solely on negotiating lower prices with Microsoft
E
Scaling down or shutting down underutilized resources identified through usage analysis
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