Cloud Metrics Quiz

What is response time in the context of cloud metrics?

• The time it takes for a system to respond to a request, typically measured in milliseconds.

• The time it takes for a cloud platform to be built.

• The time it takes for a cloud to run a backup.

• The time it takes for a cloud to produce results for the company.

Define availability as a cloud metric.

• Availability in cloud computing refers to the type of the cloud tech used.

• Availability in cloud computing refers to the size of the cloud.

• Availability in cloud computing refers to the number of clouds used.

• Availability in cloud computing refers to the percentage of time that a system is operational and accessible for users.

Explain the concept of utilization in cloud metrics.

• Utilization in cloud metrics refers to the types of cloud in use.

• Utilization in cloud metrics is a measure of how many clouds are in use.

• Utilization in cloud metrics is a term used to describe the speed at which clouds peform.

• Utilization in cloud metrics refers to the percentage of allocated cloud resources that are actively being used at a given time.

​ (a)   cloud environments can ​ (b)   cloud computing bills. This makes it more important to use cloud ​ (c)   to help support ​ (d)   optimisation in addition to ​ (e)   optimisation.

• Overprovisioned
• bloat
• monitoring
• cost
• performance

How does scalability impact cloud metrics?

• Scalability impacts cloud metrics by influencing factors such as performance, resource utilization, and cost efficiency.

• Scalability only impacts cost efficiency in cloud metrics.

• Scalability only affects response time in cloud metrics.

• Scalability has no impact on cloud metrics.

Why is reliability an important aspect of cloud metrics?

• Consistent availability of services and data is not crucial for cloud-based applications

• Cloud metrics do not need to be accurate

• Reliability is not important in cloud metrics

• It ensures that the services and data are consistently available and accurate.

What are the key factors that affect response time in cloud computing?

• Network latency, server performance, and data center location.

• Number of employees in the data center.

• Type of server used in the data centre.

• Cooling system utilised.

Discuss the significance of high availability in cloud services.

• It ensures that the services are accessible and operational for users at all times, minimizing downtime and potential loss of business.

• High availability in cloud services is significant because it leads to frequent service disruptions.

• High availability in cloud services is insignificant because downtime is not a major concern.

• High availability in cloud services is not significant because it doesnt't increases the risk of potential losses.

How can utilization be optimized in a cloud environment?

• By using outdated hardware and software

• By implementing auto-scaling, using resource scheduling and allocation algorithms, and regularly monitoring and optimizing the usage of resources.

• By manually allocating resources without monitoring

• By ignoring resource usage

Cloud ​ (a)   are more likely to include ​ (b)   or even hundreds of individual servers, with ​ (c)   distributed across them. This makes it more ​ (d)   to monitor not just individual servers, but entire ​ (e)   .

• environments
• dozens
• applications
• important
• clusters