CISA-KR 문제 351
다음 중 새로운 시스템 구현과 관련하여 대출 신청 처리의 완전성과 정확성에 대한 가장 확실한 보증을 제공하는 것은 무엇입니까?
정답: B
Explanation
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 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
CISA-KR 문제 352
금융 애플리케이션을 감사하는 동안 해지된 많은 사용자의 계정이 비활성화되지 않은 것으로 확인되었습니다. 다음 중 IS 감사인의 다음 단계는 무엇입니까?
정답: B
Explanation
The IS auditor's next step after determining that many terminated users' accounts were not disabled is to perform a review of terminated users' account activity. This means that the IS auditor should check whether any of the terminated users' accounts were accessed or used after their termination date, which could indicate unauthorized or fraudulent activity. The IS auditor should also assess the impact and risk of such activity on the confidentiality, integrity, and availability of IT resources and data. The other options are not as appropriate as performing a review of terminated users' account activity, as they do not provide sufficient evidence or assurance of the extent and effect of the problem. References: CISA Review Manual, 27th Edition, page 240
The IS auditor's next step after determining that many terminated users' accounts were not disabled is to perform a review of terminated users' account activity. This means that the IS auditor should check whether any of the terminated users' accounts were accessed or used after their termination date, which could indicate unauthorized or fraudulent activity. The IS auditor should also assess the impact and risk of such activity on the confidentiality, integrity, and availability of IT resources and data. The other options are not as appropriate as performing a review of terminated users' account activity, as they do not provide sufficient evidence or assurance of the extent and effect of the problem. References: CISA Review Manual, 27th Edition, page 240
CISA-KR 문제 353
IS 감사자는 트랜잭션이 자주 변경되고 대량의 데이터가 있는 조직의 백업 절차를 검토하고 있습니다. 다음 중 중단 발생 시 더 짧은 복원 시간이 필요한 경우 권장할 수 있는 가장 좋은 백업 구성표는 무엇입니까?
정답: D
Explanation
A mirror backup is a type of backup that creates an exact copy of the source data to the destination, without using any compression or encryption. A mirror backup is the best backup scheme to recommend given the need for a shorter restoration time in the event of a disruption, because it allows for the fastest and easiest recovery of data. A mirror backup does not store any previous versions of the files, so it only reflects the current state of the source data. Therefore, a mirror backup requires less storage space than a full backup, but more than an incremental or differential backup.
A differential backup is a type of backup that stores the changes made to the source data since the last full backup. A differential backup requires less storage space and time than a full backup, but more than an incremental backup. However, a differential backup also requires more time and resources to restore than a mirror or full backup, because it needs to combine the last full backup and the latest differential backup to recover the data.
A full backup is a type of backup that copies all the files and folders from the source data to the destination, regardless of whether they have changed or not. A full backup provides the most complete protection of data and the simplest recovery process, but it also requires the most storage space and time to perform. A full backup is usually done periodically, such as weekly or monthly, and followed by incremental or differential backups.
An incremental backup is a type of backup that stores the changes made to the source data since the last backup, whether it was a full or an incremental backup. An incremental backup requires the least storage space and time to perform, but it also requires the most time and resources to restore, because it needs to combine all the previous backups in chronological order to recover the data.
A mirror backup is a type of backup that creates an exact copy of the source data to the destination, without using any compression or encryption. A mirror backup is the best backup scheme to recommend given the need for a shorter restoration time in the event of a disruption, because it allows for the fastest and easiest recovery of data. A mirror backup does not store any previous versions of the files, so it only reflects the current state of the source data. Therefore, a mirror backup requires less storage space than a full backup, but more than an incremental or differential backup.
A differential backup is a type of backup that stores the changes made to the source data since the last full backup. A differential backup requires less storage space and time than a full backup, but more than an incremental backup. However, a differential backup also requires more time and resources to restore than a mirror or full backup, because it needs to combine the last full backup and the latest differential backup to recover the data.
A full backup is a type of backup that copies all the files and folders from the source data to the destination, regardless of whether they have changed or not. A full backup provides the most complete protection of data and the simplest recovery process, but it also requires the most storage space and time to perform. A full backup is usually done periodically, such as weekly or monthly, and followed by incremental or differential backups.
An incremental backup is a type of backup that stores the changes made to the source data since the last backup, whether it was a full or an incremental backup. An incremental backup requires the least storage space and time to perform, but it also requires the most time and resources to restore, because it needs to combine all the previous backups in chronological order to recover the data.
CISA-KR 문제 354
다음 중 데이터 분류 프로세스를 구현할 때 데이터 소유자의 가장 중요한 책임은 무엇입니까?
정답: C
Explanation
The most important responsibility of data owners when implementing a data classification process is determining appropriate user access levels (option C). This is because:
Data owners are the persons or entities that have the authority and responsibility for the business processes and functions that collect, use, store, and dispose of data1.
Data owners are accountable for ensuring that the data is handled in compliance with the applicable laws, regulations, policies, and standards, such as the GDPR and the PIPEDA1234.
Data owners are in the best position to determine the purpose and necessity of collecting and retaining data, as well as the risks and benefits associated with it1.
Data owners should consult with other stakeholders, such as the risk manager, the database administrator (DBA), and the privacy manager, to establish and implement appropriate data classification policies and procedures2.
Data classification is the process of organizing data in groups based on their attributes and characteristics, and then assigning class labels that describe a set of attributes that hold true for the corresponding data sets345.
Data classification helps organizations to identify, manage, protect, and understand their data, as well as to comply with modern data privacy regulations345.
Data classification also helps to determine appropriate user access levels, which means defining who can access, modify, share, or delete data based on their roles, responsibilities, and needs345.
Determining appropriate user access levels is the most important responsibility of data owners when implementing a data classification process, as it ensures that only authorized and legitimate users can access sensitive or important data. This provides confidentiality, integrity, availability, and accountability of data345.
Reviewing emergency changes to data (option A), authorizing application code changes (option B), and implementing access rules over database tables (option D) are not the most important responsibilities of data owners when implementing a data classification process. These are more related to the operational aspects of data management, which are usually delegated to other roles, such as the DBA or the IT staff. The data owner should oversee and approve these activities, but not perform them directly1.
The most important responsibility of data owners when implementing a data classification process is determining appropriate user access levels (option C). This is because:
Data owners are the persons or entities that have the authority and responsibility for the business processes and functions that collect, use, store, and dispose of data1.
Data owners are accountable for ensuring that the data is handled in compliance with the applicable laws, regulations, policies, and standards, such as the GDPR and the PIPEDA1234.
Data owners are in the best position to determine the purpose and necessity of collecting and retaining data, as well as the risks and benefits associated with it1.
Data owners should consult with other stakeholders, such as the risk manager, the database administrator (DBA), and the privacy manager, to establish and implement appropriate data classification policies and procedures2.
Data classification is the process of organizing data in groups based on their attributes and characteristics, and then assigning class labels that describe a set of attributes that hold true for the corresponding data sets345.
Data classification helps organizations to identify, manage, protect, and understand their data, as well as to comply with modern data privacy regulations345.
Data classification also helps to determine appropriate user access levels, which means defining who can access, modify, share, or delete data based on their roles, responsibilities, and needs345.
Determining appropriate user access levels is the most important responsibility of data owners when implementing a data classification process, as it ensures that only authorized and legitimate users can access sensitive or important data. This provides confidentiality, integrity, availability, and accountability of data345.
Reviewing emergency changes to data (option A), authorizing application code changes (option B), and implementing access rules over database tables (option D) are not the most important responsibilities of data owners when implementing a data classification process. These are more related to the operational aspects of data management, which are usually delegated to other roles, such as the DBA or the IT staff. The data owner should oversee and approve these activities, but not perform them directly1.
CISA-KR 문제 355
다음 중 이전 시스템과 호환되지 않는 기술을 사용하여 새 시스템으로 전환하는 것과 관련된 위험을 줄이는 가장 좋은 방법은 무엇입니까?
정답: A
Explanation
The best method to reduce the risk associated with the transition to a new system using technologies that are not compatible with the old system is parallel changeover. Parallel changeover is a method of system conversion that involves running both the old and the new systems simultaneously for a period of time, until the new system is verified to be working correctly and completely. Parallel changeover can help reduce the risk of data loss, errors, or disruptions that may occur due to the incompatibility of the technologies, as well as provide a backup option in case of failure or malfunction of the new system. Parallel changeover can also help users compare and validate the results of both systems, and facilitate their training and adaptation to the new system.
Modular changeover is a method of system conversion that involves replacing one module or component of the old system with a corresponding module or component of the new system at a time, until the entire system is replaced. Modular changeover can help reduce the complexity and scope of the conversion, as well as minimize the impact on the users and operations. However, modular changeover may not be feasible or effective when the technologies of the old and new systems are not compatible, as it may create integration or interoperability issues among the modules.
Phased operation is a method of system conversion that involves implementing the new system in stages or increments, each with a subset of functions or features, until the entire system is operational. Phased operation can help reduce the risk and cost of implementing a large and complex system, as well as allow for testing and feedback at each stage. However, phased operation may not be suitable or efficient when the technologies of the old and new systems are not compatible, as it may require extensive modifications or adaptations to enable partial functionality.
Pilot operation is a method of system conversion that involves implementing the new system in a limited or controlled environment, such as a department or a location, before rolling it out to the entire organization.
Pilot operation can help test and evaluate the performance and usability of the new system, as well as identify and resolve any issues or problems before full-scale implementation. However, pilot operation may not be relevant or reliable when the technologies of the old and new systems are not compatible, as it may not reflect the actual conditions or challenges of operating both systems concurrently.
References:
TRANSITION TO THE NEW SYSTEM - O'Reilly Media 1
10 Challenges To Think About When Upgrading From Legacy Systems - Forbes
The best method to reduce the risk associated with the transition to a new system using technologies that are not compatible with the old system is parallel changeover. Parallel changeover is a method of system conversion that involves running both the old and the new systems simultaneously for a period of time, until the new system is verified to be working correctly and completely. Parallel changeover can help reduce the risk of data loss, errors, or disruptions that may occur due to the incompatibility of the technologies, as well as provide a backup option in case of failure or malfunction of the new system. Parallel changeover can also help users compare and validate the results of both systems, and facilitate their training and adaptation to the new system.
Modular changeover is a method of system conversion that involves replacing one module or component of the old system with a corresponding module or component of the new system at a time, until the entire system is replaced. Modular changeover can help reduce the complexity and scope of the conversion, as well as minimize the impact on the users and operations. However, modular changeover may not be feasible or effective when the technologies of the old and new systems are not compatible, as it may create integration or interoperability issues among the modules.
Phased operation is a method of system conversion that involves implementing the new system in stages or increments, each with a subset of functions or features, until the entire system is operational. Phased operation can help reduce the risk and cost of implementing a large and complex system, as well as allow for testing and feedback at each stage. However, phased operation may not be suitable or efficient when the technologies of the old and new systems are not compatible, as it may require extensive modifications or adaptations to enable partial functionality.
Pilot operation is a method of system conversion that involves implementing the new system in a limited or controlled environment, such as a department or a location, before rolling it out to the entire organization.
Pilot operation can help test and evaluate the performance and usability of the new system, as well as identify and resolve any issues or problems before full-scale implementation. However, pilot operation may not be relevant or reliable when the technologies of the old and new systems are not compatible, as it may not reflect the actual conditions or challenges of operating both systems concurrently.
References:
TRANSITION TO THE NEW SYSTEM - O'Reilly Media 1
10 Challenges To Think About When Upgrading From Legacy Systems - Forbes
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