CompTIA CLO-002 Exam With Confidence Using Practice Dumps

One of the risks that an organization can transfer by adopting the cloud is data breach due to a break-in at the facility. This is because the cloud service provider (CSP) is responsible for the physical security of the data center where the data is stored and processed. The CSP should have adequate measures to prevent unauthorized access, theft, or damage to the hardware and infrastructure. By outsourcing the data storage and processing to the CSP, the organization transfers the risk of physical breach to the CSP. However, the organization still retains the risk of data breach due to other factors, such as network attacks, misconfiguration, or human error. Therefore, the organization should also implement appropriate controls to protect the data in transit and at rest, such as encryption, authentication, and monitoring. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 5: Risk Management, page 1661 and page 1692. The Top Cloud Computing Risk Treatment Options | CSA3.

Right-sizing compute resource instances is the process of matching instance types and sizes to workload performance and capacity requirements at the lowest possible cost. It’s also the process of identifying opportunities to eliminate or downsize instances without compromising capacity or other requirements, which results in lower costs and higher efficiency1. Right-sizing is a key mechanism for optimizing cloud costs, but it is often ignored or delayed by organizations when they first move to the cloud. They lift and shift their environments and expect to right-size later. Speed and performance are often prioritized over cost, which results in oversized instances and a lot of wasted spend on unused resources2.

Right-sizing compute resource instances is the best action that the analyst should consider to lower costs and improve efficiency, as it can help reduce the amount of resources and money spent on instances that operate at a fraction of the full processing capacity. Right-sizing can also improve the performance and reliability of the instances by ensuring that they have enough resources to meet the workload demands. Right-sizing is an ongoing process that requires continuous monitoring and analysis of the instance usage and performance metrics, as well as the use of tools and frameworks that can simplify and automate the right-sizing decisions1.

Consolidating into fewer instances, using spot instances, or negotiating better prices on the company’s reserved instances are not the best actions that the analyst should consider to lower costs and improve efficiency, as they have some limitations and trade-offs compared to right-sizing. Consolidating into fewer instances can reduce the number of instances, but it does not necessarily optimize the type and size of the instances. Consolidating can also introduce performance and availability issues, such as increased latency, reduced redundancy, or single points of failure3. Using spot instances can reduce the cost of instances, but it also introduces the risk of interruption and termination, as spot instances are subject to fluctuating prices and availability based on the supply and demand of the cloud provider4. Negotiating better prices on the company’s reserved instances can reduce the cost of instances, but it also requires a long-term commitment and upfront payment, which reduces the flexibility and scalability of the cloud environment5. References: Right Sizing - Cloud Computing Services; The 6-Step Guide To Rightsizing Your Instances - CloudZero; Consolidating Cloud Services: How to Do It Right | CloudHealth by VMware; Spot Instances - Amazon Elastic Compute Cloud; Reserved Instances - Amazon Elastic Compute Cloud.

Disaster recovery is the aspect of cloud design that enables a customer to continue doing business after a major data center incident. Disaster recovery is the process of restoring and resuming the normal operations of IT systems and services after a disaster, such as a natural calamity, a cyberattack, a power outage, or a human error1. Disaster recovery involves creating and storing backup copies of critical data and workloads in a secondary location or multiple locations, which are known as disaster recovery sites. A disaster recovery site can be a physical data center or a cloud-based platform2. Disaster recovery in cloud computing offers many advantages, such as34:

• Cost-effectiveness: Cloud disaster recovery eliminates the need to invest in and maintain expensive hardware, software, and facilities for the secondary site. Cloud disaster recovery also allows customers to pay only for the resources they use, and to scale up or down as needed.
• Reliability: Cloud disaster recovery ensures that the backup data and workloads are always available and accessible from any location and device. Cloud disaster recovery also leverages the security, performance, and redundancy features of the cloud provider to protect the data and workloads from corruption, loss, or theft.
• Flexibility: Cloud disaster recovery enables customers to choose from different cloud service models and deployment options, such as public, private, hybrid, or multicloud, depending on their business needs and preferences. Cloud disaster recovery also allows customers to customize and automate their recovery plans and policies, such as recovery point objective (RPO) and recovery time objective (RTO).

References: What is Disaster Recovery and Why Is It Important? - Google Cloud, What is Disaster Recovery and Why Is It Important? Disaster Recovery In Cloud Computing: What, How, And Why - NAKIVO, Cloud Disaster Recovery vs. Traditional Disaster Recovery. Benefits of Disaster Recovery in Cloud Computing - NAKIVO, Benefits of Cloud-Based Disaster Recovery. Cloud Disaster Recovery (Cloud DR): What It Is & How It Works - phoenixNAP, Benefits of Cloud Disaster Recovery.