CISA-KR 문제 56
다음 중 사고 관리 프로그램의 효과를 나타내는 가장 좋은 성과 지표는 무엇입니까?
정답: D
The best performance indicator for the effectiveness of an incident management program is the incident resolution meantime. This is the average time it takes to resolve an incident from the moment it is reported to the moment it is closed. The incident resolution meantime reflects how quickly and efficiently the incident management team can restore normal service and minimize the impact of incidents on the business operations and customer satisfaction.
The average time between incidents (option A) is not a good performance indicator for the effectiveness of an incident management program, as it does not measure how well the incidents are handled or resolved. It only shows how frequently the incidents occur, which may depend on various factors beyond the control of the incident management team, such as the complexity and reliability of the systems, the security threats and vulnerabilities, and the user behavior and expectations.
The incident alert meantime (option B) is the average time it takes to detect and report an incident. While this is an important metric for measuring the responsiveness and awareness of the incident management team, it does not indicate how effective the incident management program is in resolving the incidents and restoring normal service.
The number of incidents reported (option C) is also not a good performance indicator for the effectiveness of an incident management program, as it does not reflect how well the incidents are handled or resolved. It only shows how many incidents are identified and recorded, which may vary depending on the reporting channels, tools, and procedures used by the incident management team and the users.
Therefore, option D is the correct answer.
References:
* Incident Management: Processes, Best Practices & Tools - Atlassian
* What is backup and disaster recovery? | IBM
The average time between incidents (option A) is not a good performance indicator for the effectiveness of an incident management program, as it does not measure how well the incidents are handled or resolved. It only shows how frequently the incidents occur, which may depend on various factors beyond the control of the incident management team, such as the complexity and reliability of the systems, the security threats and vulnerabilities, and the user behavior and expectations.
The incident alert meantime (option B) is the average time it takes to detect and report an incident. While this is an important metric for measuring the responsiveness and awareness of the incident management team, it does not indicate how effective the incident management program is in resolving the incidents and restoring normal service.
The number of incidents reported (option C) is also not a good performance indicator for the effectiveness of an incident management program, as it does not reflect how well the incidents are handled or resolved. It only shows how many incidents are identified and recorded, which may vary depending on the reporting channels, tools, and procedures used by the incident management team and the users.
Therefore, option D is the correct answer.
References:
* Incident Management: Processes, Best Practices & Tools - Atlassian
* What is backup and disaster recovery? | IBM
CISA-KR 문제 57
IS 감사원은 조직의 비즈니스 인텔리전스 인프라를 검토하고 있습니다. 조직이 합리적인 수준의 데이터 품질을 달성하도록 돕기 위한 최상의 권장 사항은 다음과 같습니다.
정답: D
This is because analyzing the data against predefined specifications is a method of data quality assessment that can help the organization achieve a reasonable level of data quality. Data quality assessment is the process of measuring and evaluating the accuracy, completeness, consistency, timeliness, validity, and usability of the data. Predefined specifications are the criteria or standards that define the expected or desired quality of the data. By comparing the actual data with the predefined specifications, the organization can identify and quantify any gaps, errors, or deviations in the data quality, and take corrective actions accordingly12.
Reviewing data against data classification standards (A) is not the best answer, because it is not a method of data quality assessment, but rather a method of data security management. Data classification standards are the rules or guidelines that define the level of sensitivity and confidentiality of the data, and determine the appropriate security and access controls for the data. For example, data can be classified into public, internal, confidential, or restricted categories. Reviewing data against data classification standards can help the organization protect the data from unauthorized or inappropriate use or disclosure, but it does not directly improve the data quality3.
Outsourcing data cleansing to skilled service providers (B) is not the best answer, because it is not a recommendation to help the organization achieve a reasonable level of data quality, but rather a decision to delegate or transfer the responsibility of data quality management to external parties. Data cleansing is the process of detecting and correcting any errors, inconsistencies, or anomalies in the data. Skilled service providers are third-party vendors or contractors that have the expertise and resources to perform data cleansing tasks. Outsourcing data cleansing to skilled service providers may have some benefits, such as cost savings, efficiency, or scalability, but it also has some risks, such as loss of control, dependency, or liability4.
Consolidating data stored across separate databases into a warehouse is not the best answer, because it is not a method of data quality assessment, but rather a method of data integration and storage. Data integration is the process of combining and transforming data from different sources and formats into a unified and consistent view. Data warehouse is a centralized repository that stores integrated and historical data for analytical purposes. Consolidating data stored across separate databases into a warehouse can help the organization improve the availability and accessibility of the data, but it does not necessarily improve the data quality.
Reviewing data against data classification standards (A) is not the best answer, because it is not a method of data quality assessment, but rather a method of data security management. Data classification standards are the rules or guidelines that define the level of sensitivity and confidentiality of the data, and determine the appropriate security and access controls for the data. For example, data can be classified into public, internal, confidential, or restricted categories. Reviewing data against data classification standards can help the organization protect the data from unauthorized or inappropriate use or disclosure, but it does not directly improve the data quality3.
Outsourcing data cleansing to skilled service providers (B) is not the best answer, because it is not a recommendation to help the organization achieve a reasonable level of data quality, but rather a decision to delegate or transfer the responsibility of data quality management to external parties. Data cleansing is the process of detecting and correcting any errors, inconsistencies, or anomalies in the data. Skilled service providers are third-party vendors or contractors that have the expertise and resources to perform data cleansing tasks. Outsourcing data cleansing to skilled service providers may have some benefits, such as cost savings, efficiency, or scalability, but it also has some risks, such as loss of control, dependency, or liability4.
Consolidating data stored across separate databases into a warehouse is not the best answer, because it is not a method of data quality assessment, but rather a method of data integration and storage. Data integration is the process of combining and transforming data from different sources and formats into a unified and consistent view. Data warehouse is a centralized repository that stores integrated and historical data for analytical purposes. Consolidating data stored across separate databases into a warehouse can help the organization improve the availability and accessibility of the data, but it does not necessarily improve the data quality.
CISA-KR 문제 58
조직에서 새로운 데이터 유출 방지(DLP) 도구를 구현하고 있습니다. 다음 중 어느 것이 조직에서 거짓 양성 경고를 줄이는 데 가장 효과적일까요?
정답: B
To reduce false positive alerts, it is essential to carefully configure a limited set of rules tailored to the organization's specific data loss prevention needs. This ensures that the DLP tool accurately identifies true positives and reduces the occurrence of false alarms.
References
* ISACA CISA Review Manual 27th Edition, Page 304-305 (DLP Tool Configuration)
References
* ISACA CISA Review Manual 27th Edition, Page 304-305 (DLP Tool Configuration)
CISA-KR 문제 59
한 회사가 IT 업무 분리 정책을 구현했습니다. 역할 기반 환경에서 다음 중 어떤 역할을 애플리케이션 개발자에게 할당할 수 있습니까?
정답: C
Segregation of duties (SOD) is a core internal control and an essential component of an effective risk management strategy. SOD emphasizes sharing the responsibilities of key business processesby distributing the discrete functions of these processes to multiple people and departments, helping to reduce the risk of possible errors and fraud1.
SOD is especially important in IT security, where granting excessive system access to one person or group can lead to harmful consequences, such as data breaches, identity theft, or bypassing security controls2. SOD breaks IT-related tasks into four separate function categories: authorization, custody, recordkeeping, and reconciliation1. Ideally, no one person or department holds responsibility in multiple categories.
In a role-based environment, where access privileges are granted based on predefined roles, it is important to ensure that the roles are designed and assigned in a way that supports SOD. For example, the person who develops an application should not also be the one who tests it, deploys it, or maintains it.
Therefore, an application developer should not be assigned the roles of IT operator, system administration, or database administration, as these roles may conflict with their development role and create opportunities for misuse or abuse of the system. The only role that may be assigned to an application developer without violating SOD is emergency support, which is a temporary role that allows the developer to access the system in case of a critical issue that requires immediate resolution3. However, even this role should be granted with caution and monitored closely to ensure compliance with SOD policies.
References:
* ISACA, CISA Review Manual, 27th Edition, 2019, page 2824
* ISACA, CISA Review Questions, Answers & Explanations Database - 12 Month Subscription, QID
1066692
* Hyperproof Blog, Segregation of Duties: What it is and Why it's Important1
* Advisera Blog, Segregation of duties in your ISMS according to ISO 27001 A.6.1.23
SOD is especially important in IT security, where granting excessive system access to one person or group can lead to harmful consequences, such as data breaches, identity theft, or bypassing security controls2. SOD breaks IT-related tasks into four separate function categories: authorization, custody, recordkeeping, and reconciliation1. Ideally, no one person or department holds responsibility in multiple categories.
In a role-based environment, where access privileges are granted based on predefined roles, it is important to ensure that the roles are designed and assigned in a way that supports SOD. For example, the person who develops an application should not also be the one who tests it, deploys it, or maintains it.
Therefore, an application developer should not be assigned the roles of IT operator, system administration, or database administration, as these roles may conflict with their development role and create opportunities for misuse or abuse of the system. The only role that may be assigned to an application developer without violating SOD is emergency support, which is a temporary role that allows the developer to access the system in case of a critical issue that requires immediate resolution3. However, even this role should be granted with caution and monitored closely to ensure compliance with SOD policies.
References:
* ISACA, CISA Review Manual, 27th Edition, 2019, page 2824
* ISACA, CISA Review Questions, Answers & Explanations Database - 12 Month Subscription, QID
1066692
* Hyperproof Blog, Segregation of Duties: What it is and Why it's Important1
* Advisera Blog, Segregation of duties in your ISMS according to ISO 27001 A.6.1.23
CISA-KR 문제 60
민감한 데이터가 포함된 외부 시스템은 사용자에게 읽기 전용 또는 관리자 권한이 있도록 구성되어 있습니다. 시스템 사용자 대부분은 관리자 액세스 권한이 있습니다. 다음 중 이 상황과 관련된 가장 큰 위험은 무엇입니까?
정답: C
The greatest risk associated with having most users with administrator access to an externally facing system containing sensitive data is that users can make unauthorized changes to the system or the data, which could compromise the integrity, confidentiality, and availability of the system and the data. Users can export application logs, view sensitive data, and install open-licensed software are also risks, but they are not as severe as unauthorized changes. References: ISACA CISA Review Manual 27th Edition Chapter 4
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