CLO-002 Exam Dumps : CompTIA Cloud Essentials+

Rip and replace is a cloud migration method that involves discarding the existing legacy system and building a new one from scratch on the cloud platform. This method allows the organization to take full advantage of the cloud computing model, such as scalability, elasticity, performance, and cost-efficiency. Rip and replace also enables the organization to leverage the cloud-native features and services, such as serverless computing, microservices, and containers. However, rip and replace is also the most complex and risky migration method, as it requires a complete redesign and redevelopment of the system, which can be time-consuming, expensive, and prone to errors. Therefore, rip and replace is only suitable for systems that are outdated, incompatible, or unsuitable for the cloud environment, and that have a clear business case and return on investment for the migration. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 5: Cloud Migration, page 1971

Microservice applications are composed of many smaller, loosely coupled, and independently deployable services, each with its own responsibility and technology stack1. One of the benefits of microservice applications in a cloud environment is that they can use auto-scaling, which is the ability to automatically adjust the amount of computing resources allocated to a service based on the current demand2. Auto-scaling can help improve the performance, availability, and cost-efficiency of microservice applications, as it allows each service to scale up or down according to its own needs, without affecting the rest of the application2. Auto-scaling can also help handle unpredictable or variable workloads, such as spikes in traffic or seasonal fluctuations2. Auto-scaling can be implemented using different cloud services, such as Google Kubernetes Engine (GKE) or Cloud Run, which provide both horizontal and vertical scaling options for microservice applications34. References: 1: IBM, What are Microservices?; 2: AWS, What is Auto Scaling?; 3: Google Cloud, Autoscaling Deployments; 4: Google Cloud, Scaling Cloud Run services

The least costing server is the application server because it has the lowest used space and allocated space. The file server should have storage increased due to over 70% utilization because it has the highest used space and allocated space. To calculate the cost of each server, we can use the following formula:

Cost = ($1.50 x Used space) + ($0.75 x Allocated space)

Using this formula, we can find the cost of each server as follows:

• Application server: Cost = ($1.50 x 186 GB) + ($0.75 x 250 GB) = $279 + $187.50 = $466.50
• Mail server: Cost = ($1.50 x 250 GB) + ($0.75 x 300 GB) = $375 + $225 = $600
• File server: Cost = ($1.50 x 450 GB) + ($0.75 x 500 GB) = $675 + $375 = $1050

The application server has the lowest cost of $466.50, while the file server has the highest cost of $1050. To find the utilization percentage of each server, we can use the following formula:

Utilization = (Used space / Allocated space) x 100%

Using this formula, we can find the utilization percentage of each server as follows:

• Application server: Utilization = (186 GB / 250 GB) x 100% = 74.4%
• Mail server: Utilization = (250 GB / 300 GB) x 100% = 83.3%
• File server: Utilization = (450 GB / 500 GB) x 100% = 90%

The file server has the highest utilization percentage of 90%, which means that it is running out of storage space and may affect its performance and availability. The application server has the lowest utilization percentage of 74.4%, which means that it has some unused storage space and may be overprovisioned. Therefore, the file server should have storage increased to reduce its utilization and improve its efficiency, while the application server is costing the firm the least and does not need any changes in its storage allocation. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 3: Cloud Business Principles, Section 3.4: Cloud Billing and Cost Management, Page 87 and [Cloud Storage Utilization and Optimization | CloudHealth by VMware]