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When applying the Top Threats Analysis methodology following an incident, the scope of the technical impact identification step is to determine the impact on confidentiality, integrity, and availability of the information system. The Top Threats Analysis methodology is a framework developed by the Cloud Security Alliance (CSA) to help organizations identify, analyze, and mitigate the most critical threats to cloud computing. The methodology consists of six steps: threat identification, threat analysis, technical impact identification, business impact analysis, risk assessment, and risk treatment12.

The technical impact identification step is the third step of the methodology, and it aims to assess how the incident affected the security properties of the information system, namely confidentiality, integrity, and availability. Confidentiality refers to the protection of data from unauthorized access or disclosure. Integrity refers to the protection of data from unauthorized modification or deletion. Availability refers to the protection of data and services from disruption or denial. The technical impact identification step can help organizations to understand the severity and extent of the incident and its consequences on the information system12.

The other options are not within the scope of the technical impact identification step. Option A, determine the impact on the controls that were selected by the organization to respond to identified risks, is not within the scope because it is part of the risk treatment step, which is the sixth and final step of the methodology. Option C, determine the impact on the physical and environmental security of the organization, excluding informational assets, is not within the scope because it is not related to the information system or its security properties. Option D, determine the impact on the financial, operational, compliance, and reputation of the organization, is not within the scope because it is part of the business impact analysis step, which is the fourth step of the methodology. References :=

• Top Threats Analysis Methodology - CSA1
• Top Threats Analysis Methodology - Cloud Security Alliance

Identity and access management (IAM) and data protection are the areas that should be reviewed when auditing a public cloud, as they are the key aspects of cloud security and compliance that affect both the cloud service provider and the cloud service customer. IAM and data protection refer to the methods and techniques that ensure the confidentiality, integrity, and availability of data and resources in the cloud environment. IAM involves the use of credentials, policies, roles, permissions, and tokens to verify the identity and access rights of users or devices. Data protection involves the use of encryption, backup, recovery, deletion, and retention to protect data from unauthorized access, modification, loss, or disclosure123.

Patching and configuration (A) are not the areas that should be reviewed when auditing a public cloud, as they are not the key aspects of cloud security and compliance that affect both the cloud service provider and the cloud service customer. Patching and configuration refer to the processes and practices that ensure the security, reliability, and performance of the cloud infrastructure, platform, or software. Patching involves the use of updates or fixes to address vulnerabilities, bugs, errors, or exploits that may compromise or affect the functionality of the cloud components. Configuration involves the use of settings or parameters to customize or optimize the functionality of the cloud components. Patching and configuration are mainly under the responsibility of the cloud service provider, as they own and operate the cloud infrastructure, platform, or software. The cloud service customer has limited or no access or control over these aspects123.

Vulnerability management and cyber security reviews (B) are not the areas that should be reviewed when auditing a public cloud, as they are not specific or measurable aspects of cloud security and compliance that can be easily audited or tested. Vulnerability management and cyber security reviews refer to the processes and practices that identify, assess, treat, monitor, and report on the risks that affect the security posture of an organization or a domain. Vulnerability management involves the use of tools or techniques to scan, analyze, prioritize, remediate, or mitigate vulnerabilities that may expose an organization or a domain to threats or attacks. Cyber security reviews involve the use of tools or techniques to evaluate, measure, benchmark, or improve the security capabilities or maturity of an organization or a domain. Vulnerability management and cyber security reviews are general or broad terms that encompass various aspects of cloud security and compliance, such as IAM, data protection, patching, configuration, etc. Therefore, they are not specific or measurable areas that can be audited or tested individually123.

Source code reviews and hypervisor (D) are not the areas that should be reviewed when auditing a public cloud, as they are not relevant or accessible aspects of cloud security and compliance for most cloud service customers. Source code reviews refer to the processes and practices that examine the source code of software applications or systems to identify errors, bugs, vulnerabilities, or inefficiencies that may affect their quality, functionality, or security. Hypervisor refers to the software that allows the creation and management of virtual machines on a physical server. Source code reviews and hypervisor are mainly under the responsibility of the cloud service provider, as they own and operate the software applications or systems that deliver cloud services. The cloud service customer has no access or control over these aspects123. References :=

• Cloud Audits: A Guide for Cloud Service Providers - Cloud Standards …
• Cloud Audits: A Guide for Cloud Service Customers - Cloud Standards …
• Cloud Auditing Knowledge: Preparing for the CCAK Certificate Exam

According to the definition of regression testing, it is a type of software testing that confirms that a recent program or code change has not adversely affected existing features1 It involves re-running functional and non-functional tests to ensure that previously developed and tested software still performs as expected after a change2 If the software does not perform as expected, it is called a regression. Therefore, the most important goal of regression testing is to ensure new releases do not impact previous stable features.

The other options are not correct because:

• Option A is not correct because the expected outputs are provided by the new features is not the goal of regression testing, but rather the goal of functional testing or acceptance testing. These types of testing aim to verify that the software meets the specified requirements and satisfies the user needs. Regression testing, on the other hand, focuses on checking that the existing features are not broken by the new features3
• Option B is not correct because the system can handle a high number of users is not the goal of regression testing, but rather the goal of performance testing or load testing. These types of testing aim to evaluate the behavior and responsiveness of the software under various workloads and conditions. Regression testing, on the other hand, focuses on checking that the software functionality and quality are not degraded by code changes4
• Option C is not correct because the system can be restored after a technical issue is not the goal of regression testing, but rather the goal of recovery testing or disaster recovery testing. These types of testing aim to assess the ability of the software to recover from failures or disasters and resume normal operations. Regression testing, on the other hand, focuses on checking that the software does not introduce new failures or defects due to code changes5

References: 1: Wikipedia. Regression testing - Wikipedia. [Online]. Available: 3. [Accessed: 14-Apr-2023]. 2: Katalon. What is Regression Testing? Definition, Tools, Examples - Katalon. [Online]. Available: 4. [Accessed: 14-Apr-2023]. 3: Guru99. What is Functional Testing? Types & Examples - Guru99. [Online]. Available: . [Accessed: 14-Apr-2023]. 4: Guru99. What is Performance Testing? Types & Examples - Guru99. [Online]. Available: . [Accessed: 14-Apr-2023]. 5: Guru99. What is Recovery Testing? with Example - Guru99. [Online]. Available: . [Accessed: 14-Apr-2023].

A RACI chart is a tool used to clarify the roles and responsibilities in processes, projects, or operations. In the context of cloud compliance, documenting these responsibilities in a RACI chart ensures that all parties within the enterprise are aware of their specific obligations regarding compliance with laws and regulations. This helps in creating a clear, organized view of how each part of the organization contributes to overall compliance, facilitating better coordination and accountability.

References = The answer is informed by general best practices in cloud compliance and governance, which recommend the use of RACI charts or similar tools to delineate responsibilities clearly. While I can’t reference specific documents from the CCAK or related resources, these practices are widely accepted in the field of cloud security and compliance.