A decision tree is a technique that can be used during a risk assessment to demonstrate to stakeholders that all known alternatives were evaluated. A decision tree is a graphical tool that shows the possible outcomes and consequences of different choices or actions in a sequential and hierarchical manner. A decision tree can help to compare and contrast the alternatives based on their expected values, costs, benefits, and risks, as well as to identify the optimal or preferred alternative that maximizes the value or minimizes the risk. A decision tree can also help to communicate and explain the rationale and assumptions behind the decision-making process to the stakeholders. The other options are not the best techniques to demonstrate to stakeholders that all known alternatives were evaluated, although they may be useful and complementary. A control chart is a technique that monitors the performance and quality of a process or activity over time by plotting the data points and the control limits. A control chart can help to detect and analyze the variations or deviations from the expected or desired results, as well as to identify and correct the causes or sources of the variations. A sensitivity analysis is a technique that measures the impact of changes in one or more variables or parameters on the outcome or result of a model or a system. A sensitivity analysis can help to assess the uncertainty or variability of the outcome or result, as well as to determine the most influential or critical variables or parameters that affect the outcome or result. A trend analysis is a technique that examines the patterns or movements of data or information over time by using statistical or graphical methods. A trend analysis can help to forecast or predict the future behavior or direction of the data or information, as well as to identify and explain the factors or drivers that influence the data or information. References = CRISC Review Manual, pages 38-391; CRISC Review Questions, Answers & Explanations Manual, page 922; Risk Assessment and Analysis Methods: Qualitative and Quantitative - ISACA3; Risk Assessment: Process, Examples, & Tools | SafetyCulture4

The risk practitioner's best recommendation after recovery steps have been completed is B. Perform a root cause analysis. A root cause analysis is a process of identifying and assessing the underlying causes of a problem or an incident. By performing a root cause analysis, the risk practitioner can help the organization to understand how and why the cyber attack happened, what vulnerabilities and gaps were exploited, and what actions and controls can be implemented to prevent or mitigate similar incidents in the future12 A root cause analysis can also help the organization to improve its incident response plan, which is a set of instructions to help IT staff detect, respond to, and recover from network security incidents3 A root cause analysis can provide valuable feedback and lessons learned from the cyber attack, and help the organization to update and test its incident response plan accordingly45 Developing new key risk indicators, recommending the purchase of cyber insurance, and reviewing the incident response plan are all possible actions that the risk practitioner can take after a cyber attack, but they are not the best recommendation. Developing new key risk indicators can help the organization to monitor and measure its risk exposure and performance, but it does not address the root causes of the cyber attack12 Recommending the purchase of cyber insurance can help the organization to hedge against the financial losses caused by cyber incidents, but it does not prevent or solve the underlying issues67 Reviewing the incident response plan can help the organization to evaluate its effectiveness and identify areas for improvement, but it does not explain how and why the cyber attack occurred345 Therefore, the best recommendation is to perform a root cause analysis, as it can help the organization to understand, resolve, and prevent the cyber attack and its consequences12

The best control to minimize the risk associated with scope creep in software development is an established process for project change management. Scope creep is the uncontrolled expansion of the project scope due to changes in requirements, specifications, or expectations. A project change management process can help to prevent or reduce scope creep by defining the procedures for requesting, reviewing, approving, and implementing changes in the project. Retention of test data and results, business management review of functional requirements, and segregation between development, test, and production are other possible controls, but they are not as effective as a project change management process. References = ISACA Certified in Risk and Information Systems Control (CRISC) Certification Exam Question and Answers, question 11; CRISC Review Manual, 6th Edition, page 144.

Outsourcing a web application and storing customer data in the vendor's public cloud involves transferring some of the organization's data processing and storage functions to a third-party service provider. This can bring benefits such as cost savings, scalability, and flexibility, but it also introduces risks such as data breaches, unauthorized access, compliance violations, and loss of control12.
To protect customer data, it is most important to ensure that the vendor's responsibilities are defined in the contract. A contract is a legally binding agreement that specifies the terms and conditions of the outsourcing relationship, such as the scope, duration, quality, and cost of the services, as well as the rights and obligations of both parties. A contract should also address the following aspects of data protection :
* Data ownership: The contract should clearly state that the organization retains the ownership and control of its customer data, and that the vendor has no rights to use, disclose, or retain the data for any purpose other than providing the agreed services.
* Data security: The contract should define the minimum security standards and controls that the vendor must implement and maintain to protect the customer data from unauthorized or accidental access, use, disclosure, modification, or destruction. The contract should also specify the security certifications or audits that the vendor must comply with or undergo to demonstrate its security posture.
* Data privacy: The contract should ensure that the vendor complies with the applicable data privacy laws and regulations that govern the collection, processing, and transfer of customer data, such as the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA). The contract should also require the vendor to obtain the consent of the customers before collecting or sharing their data, and to respect their rights to access, correct, delete, or restrict their data.
* Data breach notification: The contract should establish the procedures and timelines for the vendor to notify the organization and the relevant authorities in the event of a data breach or security incident that affects the customer data. The contract should also define the roles and responsibilities of both parties in responding to and resolving the incident, as well as the remedies and penalties for the vendor's failure or negligence.
* Data backup and recovery: The contract should outline the backup and recovery policies and practices that the vendor must follow to ensure the availability and integrity of the customer data in case of a disaster or system failure. The contract should also specify the frequency and format of the backups, the location and security of the backup storage, and the testing and restoration procedures.
* Data retention and disposal: The contract should stipulate the retention period and disposal method for the customer data, in accordance with the organization's data retention policy and the legal or regulatory requirements. The contract should also require the vendor to return or destroy the customer data at the end of the contract or upon the organization's request, and to provide proof of the data deletion.
By defining the vendor's responsibilities in the contract, the organization can ensure that the customer data is protected in a consistent and compliant manner, and that the vendor is accountable and liable for any data protection issues or breaches that may arise from the outsourcing arrangement .
The other options are not as important as defining the vendor's responsibilities in the contract, because they do not address the core issue of establishing a clear and enforceable data protection framework between the organization and the vendor. Updating the organization's incident response procedures, which are the plans and actions to be taken in the event of a data breach or security incident, may help to mitigate the impact and consequences of such events, but it does not prevent or reduce the likelihood of them occurring in the first place. Storing the data in the same jurisdiction, which means keeping the data within the same geographic or legal boundaries as the organization, may help to avoid some of the data privacy and sovereignty challenges that arise from cross-border data transfers, but it does not guarantee the security and confidentiality of the data. Restricting the administrative access to the vendor, which means limiting the ability to view, modify, or delete the data to the vendor's personnel only, may help to reduce the risk of unauthorized or accidental access by the organization's staff, but it does not ensure that the vendor's staff are trustworthy and competent, and it may also impair the organization's oversight and control over the data.
References = Consumer data protection and privacy | McKinsey, 9 Tips for Protecting Consumer Data (& Why It's Important to Keep It ..., [Outsourcing Contracts: Key Issues and Best Practices], [Data Protection in Cloud Services: A Guide for Businesses], [Incident Response Planning: Best Practices for Businesses], [Data Localization: What is it and Why is it Important?], [Administrative Access: Definition, Risks, and Best Practices]

Identifying potential sources of risk is the first step in the risk identification process, which is essential for developing a thorough understanding of risk scenarios. Sources of risk can be internal or external, and can include factors such as people, processes, technology, environment, regulations, and events. Identifying potential sources of risk can help to generate a comprehensive list of risk scenarios that can affect the organization's objectives and operations. Identifying potential sources of risk can also help to raise risk awareness among the employees and to foster a risk culture within the organization. References = Risk and Information Systems Control Study Manual, Chapter 2, Section 2.2.1, p. 66-67