The best way to verify the effectiveness of a data restoration process is to perform periodic complete data restorations. This is the process of transferring backup data to the primary system or data center and verifying that the restored data is accurate, complete, and functional. By performing periodic complete data restorations, the auditee can test the reliability and validity of the backup data, the functionality and performance of the restoration tools and procedures, and the compatibility and integrity of the restored data with the primary system. This will also help identify and resolve any issues or errors that may occur during the restoration process, such as corrupted or missing files, incompatible formats, or configuration problems.
Performing periodic reviews of physical access to backup media (option A) is not the best way to verify the effectiveness of a data restoration process, as it only ensures the security and availability of the backup media, not the quality or usability of the backup data. Physical access reviews are important for preventing unauthorized access, theft, damage, or loss of backup media, but they do not test the actual restoration process or verify that the backup data can be successfully restored.
Validating offline backups using software utilities (option C) is also not the best way to verify the effectiveness of a data restoration process, as it only checks the integrity and consistency of the backup data, not the functionality or compatibility of the restored data. Software utilities can help detect and correct any errors or inconsistencies in the backup data, such as checksum errors, duplicate files, or incomplete backups, but they do not test the actual restoration process or verify that the restored data can work with the primary system.
Reviewing and updating data restoration policies annually (option D) is also not the best way to verify the effectiveness of a data restoration process, as it only ensures that the policies are current and relevant, not that they are implemented and followed. Data restoration policies are important for defining roles and responsibilities, objectives and scope, standards and procedures, and metrics and reporting for the restoration process, but they do not test the actual restoration process or verify that it meets the expected outcomes.
Therefore, option B is the correct answer.
References:
* What is backup and disaster recovery? | IBM
* Backup and Recovery of Data: The Essential Guide | Veritas
* Database Backup and Recovery Best Practices - ISACA

User requirements are the foundation of any successful application. Properly defining what the application needs to do and how it should serve users is critical before moving into design or development.
References:
Project Management Methodologies (Agile, Waterfall, etc.): All major methodologies emphasize the criticality of understanding user requirements during the initial project phases.
Software Development Lifecycle (SDLC): Requirements gathering is a cornerstone of the initiation phase within the SDLC.
ISACA Resources: While not explicitly tied to a CISA document, ISACA's emphasis on governance and aligning IT with business objectives reinforces the importance of starting with clear user requirements.

The expected costs for recovering the business would be used when performing a business impact analysis (BIA). A BIA is a process of identifying and evaluating the potential effects ofdisruptions to critical business functions or processes. A BIA helps to determine the recovery priorities, strategies, and resources needed to resume normal operations after a disruption. One of the key outputs of a BIA is an estimate of the financial losses or costs associated with different types of disruptions, such as lost revenue, increased expenses, contractual penalties, or regulatory fines.

The most assurance over the completeness and accuracy of loan application processing with respect to the implementation of a new system can be obtained by running historical transactions through the new system.
Historical transactions are transactions that have been processed and recorded by the old system in the past.
Running historical transactions through the new system can provide the most assurance over the completeness and accuracy of loan application processing, by comparing the results and outputs of the new system with those of the old system, and verifying whether they match or differ. This can help identify and resolve any errors or issues that may arise from the new system, such as data conversion, functionality, compatibility, etc.
Comparing code between old and new systems is a possible way to obtain some assurance over the completeness and accuracy of loan application processing with respect to the implementation of a new system, but it is not the most effective one. Code is a set of instructions or commands that define how a system operates or functions. Comparing code between old and new systems can provide some assurance over the completeness and accuracy of loan application processing, by checking whether the logic, algorithms, or functions of the new system are consistent or equivalent with those of the old system. However, this may not be sufficient or reliable, as code may not reflect the actual performance or outcomes of the system, and may not detect any errors or issues that may occur at the data or user level. Reviewing quality assurance (QA) procedures is a possible way to obtain some assurance over the completeness and accuracy of loan application processing with respect to the implementation of a new system, but it is not the most effective one. QA procedures are steps or activities that ensure that a system meets its quality standards and requirements, such as testing, verification, validation, etc. Reviewing QA procedures can provide some assurance over the completeness and accuracy of loan application processing, by evaluating whether the new system has been properly tested and verified before implementation. However, this may not be adequate or accurate, as QA procedures may not cover all aspects or scenarios of loan application processing, and may not reveal any errors or issues that may arise after implementation. Loading balance and transaction data to the new system is a possible way to obtain some assurance over the completeness and accuracy of loan application processing with respect to the implementation of a new system, but it is not the most effective one. Balance and transaction data are data that reflect the status and history of loan applications in a system, such as amounts, dates, payments, etc. Loading balance and transaction data to the new system can provide some assurance over the completeness and accuracy of loan application processing, by transferring data from the old system to the new system and ensuring that they are consistent and correct. However, this may not be enough or valid, as balance and transaction data may not represent all aspects or features of loan application processing, and may not indicate any errors or issues that may arise

The primary benefit of automating application testing is to provide test consistency. Automated testing can ensure that the same test cases are executed in the same manner and order every time, which can improve the reliability and accuracy of the test results. Providing more flexibility, replacing all manual test processes, and reducing the time to review code are possible benefits of automating application testing, but they are not the primary benefit. References:
* ISACA, CISA Review Manual, 27th Edition, 2020, p. 3091
* ISACA, CISA Review Questions, Answers & Explanations Database - 12 Month Subscription