CompTIA CLO-002 Exam With Confidence Using Practice Dumps

Avoidance is a risk response strategy that involves eliminating the threat or uncertainty associated with a risk by removing the cause or the source of the risk. Avoidance can help to prevent the occurrence or the impact of a negative risk, but it may also result in the loss of potential opportunities or benefits. Avoidance is usually applied when the risk is too high or too costly to mitigate, transfer, or accept12

The business analyst is using the avoidance strategy by decommissioning the server that has a vulnerability. By doing so, the analyst is eliminating the possibility of the vulnerability being exploited or causing harm to the system or the data. However, the analyst is also losing the functionality or the value that the server provides, and may need to find an alternative solution or resource.

Mitigation is not the correct answer, because mitigation is a risk response strategy that involves reducing the probability or the impact of a negative risk by implementing actions or controls that can minimize or counteract the risk. Mitigation can help to lower the exposure or the severity of a risk, but it does not eliminate the risk completely. Mitigation is usually applied when the risk is moderate or manageable, and the cost of mitigation is justified by the potential benefit12

Transference is not the correct answer, because transference is a risk response strategy that involves shifting the responsibility or the impact of a negative risk to a third party, such as a vendor, a partner, or an insurer. Transference can help to share or distribute the risk, but it does not reduce or remove the risk. Transference is usually applied when the risk is beyond the control or the expertise of the organization, and the cost of transference is acceptable or affordable12

Acceptance is not the correct answer, because acceptance is a risk response strategy that involves acknowledging the existence or the possibility of a negative risk, and being prepared to deal with the consequences if the risk occurs. Acceptance can be passive, which means no action is taken to address the risk, or active, which means a contingency plan or a reserve is established to handle the risk. Acceptance is usually applied when the risk is low or inevitable, and the cost of avoidance, mitigation, or transference is higher than the cost of acceptance12

References: 1: 2: page 50

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

 A data sanitization policy is a document that defines how a cloud service provider (CSP) will permanently delete or destroy any data that belongs to its clients after the termination of the contract or the deletion of the service. Data sanitization is a process that ensures that the data is not recoverable by any means, even by advanced forensic tools. Data sanitization is important for cloud security and privacy, as it prevents unauthorized access, disclosure, or misuse of the data by the CSP or any third parties. A data sanitization policy can help the CSP demonstrate its compliance with the data protection laws and regulations, such as the General Data Protection Regulation (GDPR) or the Health Insurance Portability and Accountability Act (HIPAA), that may apply to its clients’ data. A data sanitization policy can also help the CSP build trust and confidence with its clients, as it assures them that their data will be handled securely and responsibly, and that they will have full control and ownership of their data. Therefore, option D is the best explanation of why a cloud provider would establish and publish a format data sanitization policy for its clients. Option A is incorrect because it does not explain why a cloud provider would establish and publish a format data sanitization policy for its clients, but rather how the provider will cleanse any data being imported during a cloud migration. Data cleansing is a process that improves the quality and accuracy of the data by removing or correcting any errors, inconsistencies, or duplicates. Data cleansing is not the same as data sanitization, as it does not involve deleting or destroying the data. Option B is incorrect because it does not explain why a cloud provider would establish and publish a format data sanitization policy for its clients, but rather how the CSP will handle malware infections that may impact systems housing client data. Malware is a malicious software that can harm or compromise the systems or data of the CSP or its clients. Malware prevention and detection are important aspects of cloud security, but they are not the same as data sanitization, as they do not involve deleting or destroying the data. Option C is incorrect because it does not explain why a cloud provider would establish and publish a format data sanitization policy for its clients, but rather how the CSP will provide a value add for clients that will assist in cleansing records at no additional charge. Data cleansing, as explained above, is a process that improves the quality and accuracy of the data, not a process that deletes or destroys the data. Data cleansing may or may not be offered by the CSP as a value-added service, but it is not the same as data sanitization, which is a mandatory and essential service for cloud security and privacy. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 5: Cloud Security Principles, Section 5.2: Data Security Concepts, Page 1471 and Data sanitization for cloud storage | Infosec