CompTIA Updated CLO-002 Exam Questions and Answers by kylan

Resource tagging is the best option for a client’s finance department to identify the cost of cloud use in a public cloud environment shared by different projects and departments. Resource tagging is a feature that allows users to assign metadata to their cloud resources. These tags, which consist of a key and a value, make it easier to manage, search for, and filter resources1. Resource tagging can help to manage costs effectively, especially in large-scale cloud environments, by enabling the following capabilities2:

• Cost allocation: Resource tagging can help to allocate costs to different projects, departments, or business units based on the tags that are associated with each resource. For example, a tag can indicate the owner, purpose, or environment of a resource, such as ProjectA, Marketing, or Dev. By using these tags, the finance department can generate reports that show the breakdown of cloud spending by different categories and attributes.
• Cost optimization: Resource tagging can help to optimize costs by identifying unused, underutilized, or overprovisioned resources based on the tags that are associated with each resource. For example, a tag can indicate the status, expiration date, or performance of a resource, such as Active, 2023-12-31, or High. By using these tags, the finance department can monitor and analyze the usage and efficiency of cloud resources and make recommendations for cost savings or improvements.
• Cost governance: Resource tagging can help to enforce cost governance policies and best practices by applying tags that are consistent, standardized, and mandatory across all cloud resources. For example, a tag can indicate the compliance, security, or quality of a resource, such as PCI-DSS, Confidential, or Approved. By using these tags, the finance department can audit and verify that the cloud resources are following the rules and regulations that are set by the organization or external authorities.

The other options are not as suitable as resource tagging for the client’s finance department to identify the cost of cloud use because:

• Reserved instances: Reserved instances are a pricing model that allows users to reserve cloud resources for a fixed period of time and pay a lower rate than on-demand resources. Reserved instances can help to reduce costs by offering discounts for predictable and steady usage patterns, but they do not provide a way to track and allocate costs across different projects and departments3.
• Service level agreement: A service level agreement (SLA) is a contract that defines the level of service and performance that a cloud service provider (CSP) guarantees to its customers. An SLA can help to ensure the reliability, availability, and quality of cloud services, but it does not provide a way to measure and report costs for different projects and departments.
• RFI from the CSP: An RFI (request for information) is a document that solicits information from a CSP about its products, services, and capabilities. An RFI can help to evaluate and compare different CSPs based on various criteria, such as features, benefits, and pricing, but it does not provide a way to monitor and manage costs for existing cloud resources that are used by different projects and departments.

References:

• 2: Define your tagging strategy - Cloud Adoption Framework
• 3: What are Reserved Instances? - Amazon Web Services
• 1: What is Tagging in cloud computing?
• : What is a service-level agreement (SLA)? - IBM Cloud
• : What is an RFI? - TechTarget

 Data availability in the cloud refers to the ability of cloud services to provide continuous and uninterrupted access to data, even in the event of a network disruption or a disaster. Resiliency is the ability of a system to recover quickly from failures and restore normal operations. Resiliency is related to data availability in the cloud because it ensures that data is not lost or corrupted due to failures and that data can be accessed by users and applications without delays or errors. Deduplication, scalability, and elasticity are not directly related to data availability in the cloud, although they may have some impact on the performance and efficiency of cloud services. Deduplication is the process of eliminating redundant copies of data to save storage space and bandwidth. Scalability is the ability of a system to handle increasing or decreasing workloads by adding or removing resources. Elasticity is the ability of a system to automatically adjust the amount of resources based on the current demand. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 2: Cloud Concepts, Section 2.3: Cloud Service Characteristics, Page 411

Lift and shift is a cloud migration strategy that involves moving an application or workload from one environment to another without making significant changes to its architecture, configuration, or code. This approach is suitable for applications that are not cloud-native, have complex dependencies, or have tight deadlines for migration. Lift and shift can help reduce the cost and risk of maintaining legacy infrastructure, improve scalability and availability, and leverage cloud services and features12.

Hybrid deployment is a cloud deployment model that involves using both public and private cloud resources to deliver services and applications. This approach is suitable for applications that have varying performance, security, or compliance requirements, or that need to integrate with existing on-premises systems. Hybrid deployment can help optimize the use of resources, increase flexibility and agility, and balance trade-offs between cost and control34.

Phased migration is a cloud migration strategy that involves moving an application or workload from one environment to another in stages or increments. This approach is suitable for applications that have modular components, low interdependencies, or high complexity. Phased migration can help reduce the impact of migration on business operations, test the functionality and performance of each component, and address any issues or challenges along the way .

Rip and replace is a cloud migration strategy that involves discarding an application or workload from one environment and replacing it with a new one in another environment. This approach is suitable for applications that are outdated, incompatible, or inefficient, or that have high maintenance costs. Rip and replace can help modernize the application architecture, design, and code, improve the user experience and functionality, and take advantage of cloud-native features and services .

References:

• [CompTIA Cloud Essentials+ CLO-002 Study Guide], Chapter 3: Management and Technical Operations, Section 3.3: Cloud Migration, p. 123-125
• [CompTIA Cloud+ CV0-003 Study Guide], Chapter 5: Deploying a Cloud Solution, Section 5.2: Cloud Migration, p. 241-244
• [CompTIA Cloud Essentials+ CLO-002 Study Guide], Chapter 1: Cloud Concepts, Section 1.3: Cloud Deployment Models, p. 25-28
• [CompTIA Cloud+ CV0-003 Study Guide], Chapter 1: Cloud Architecture and Design, Section 1.2: Cloud Deployment Models, p. 19-22
• [CompTIA Cloud Essentials+ CLO-002 Study Guide], Chapter 3: Management and Technical Operations, Section 3.3: Cloud Migration, p. 125-126
• [CompTIA Cloud+ CV0-003 Study Guide], Chapter 5: Deploying a Cloud Solution, Section 5.2: Cloud Migration, p. 244-245
• [CompTIA Cloud Essentials+ CLO-002 Study Guide], Chapter 3: Management and Technical Operations, Section 3.3: Cloud Migration, p. 126-127
• [CompTIA Cloud+ CV0-003 Study Guide], Chapter 5: Deploying a Cloud Solution, Section 5.2: Cloud Migration, p. 245-246
• [CompTIA Cloud Essentials+ CLO-002 Study Guide], ISBN: 978-1-119-64768-9, Publisher: Wiley
• [CompTIA Cloud+ CV0-003 Study Guide], ISBN: 978-1-119-64767-2, Publisher: Wiley

Data sanitization is the process of deliberately, permanently, and irreversibly removing or destroying the data stored on a memory device. Data sanitization is a security best practice and often a compliance requirement for sensitive or confidential data. Data sanitization ensures that the data cannot be recovered by any means, even by advanced forensic tools. Data sanitization can be done by overwriting, degaussing, or physically destroying the storage media. When a company discontinues its use of a cloud provider, the provider should sanitize the data to prevent any unauthorized access, leakage, or breach of the company’s data. References: CompTIA Cloud Essentials+ Certification Exam Objectives1, CompTIA Cloud Essentials+ Study Guide, Chapter 4: Cloud Storage2, Data sanitization for cloud storage3