Manage Computing Costs in Public Cloud | Cisco Exam 300-910-DEVOPS
Question
What is the effective way to manage computing costs in a public cloud?
Answers
Explanations
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A. B. C. D.D.
Public cloud computing services are becoming increasingly popular due to their cost-effectiveness, scalability, and flexibility. However, managing computing costs in a public cloud environment can be a challenge. Here are the explanations for each of the given answers:
A. Monitor data transfers to minimize cost: In a public cloud environment, data transfers can incur significant costs. Monitoring data transfers and optimizing them can help minimize the overall cost of computing. This can be achieved by using caching mechanisms, content delivery networks (CDNs), and reducing unnecessary data transfers.
B. Use dedicated hardware for all instances: While dedicated hardware instances can provide better performance and security, they are typically more expensive than shared instances. Using dedicated hardware for all instances is not a cost-effective approach, and it is not recommended unless there are specific security or compliance requirements that cannot be met by shared instances.
C. Select the largest instance option available in order to pay for only one instance: Selecting the largest instance option may not always be the most cost-effective approach. It is important to consider the actual resource utilization requirements of the workload, and choose the appropriate instance size accordingly. Choosing an instance that is too large can result in wasted resources and unnecessary costs.
D. Make use of elastic services and scale on demand: Elastic services such as Amazon Web Services (AWS) Auto Scaling, Google Cloud Platform (GCP) Autoscaler, and Microsoft Azure Autoscale can help scale resources up or down based on demand, thus optimizing costs. Scaling up when demand is high and scaling down when demand is low can help ensure that resources are utilized efficiently, reducing overall computing costs.
In summary, the most effective way to manage computing costs in a public cloud environment is to monitor data transfers, choose the appropriate instance size, and make use of elastic services to scale resources up or down based on demand.
