CISA-KR 문제 196
Source code synchronization is the process of ensuring that the source code and the object code (the compiled version of the source code) are consistent and up-to-date1. When program changes are implemented, the source code should be recompiled to generate a new object code that reflects the changes. However, if the source code is not recompiled, there is a risk that the object code may be outdated or incorrect. A compensating control is a measure that reduces the risk of an existing control weakness or deficiency2. A compensating control for source code synchronization is to compare the date stamping of the source and object code. Date stamping is a method of recording the date and time when a file is created or modified3. By comparing the date stamping of the source and object code, one can verify if they are synchronized or not. If the date stamping of the source code is newer than the object code, it means that the source code has been changed but not recompiled. If the date stamping of the object code is newer than the source code, it means that the object code has been compiled from a different source code. If the date stamping of both files are identical, it means that they are synchronized.
CISA-KR 문제 197
The security architecture of an online application is a design that describes how various security components and controls are integrated and configured to protect the application from internal and external threats. When auditing the security architecture of an online application, an IS auditor should first review the location of the firewall within the network, as this determines how effectively the firewall can filter and monitor the traffic between different network segments and zones. The firewall standards, configuration, and firmware version are also important aspects to review, but they are secondary to the location of the firewall.
CISA-KR 문제 198
A disaster recovery plan (DRP) is a set of procedures and resources that enable an organization to restore its critical operations, data, and applications in the event of a disaster1. A DRP should be aligned with the organization's business continuity plan (BCP), which defines the strategies and objectives for maintaining business functions during and after a disaster1.
To ensure that a DRP is effective, it should be tested regularly and thoroughly to identify and resolve any issues or gaps that might hinder its execution2345. Testing a DRP can help evaluate its feasibility, validity, reliability, and compatibility with the organization's environment and needs4. Testing can also help prepare the staff, stakeholders, and vendors involved in the DRP for their roles and responsibilities during a disaster3.
There are different methods and levels of testing a DRP, depending on the scope, complexity, and objectives of the test4. Some of the common testing methods are:
Walkthrough testing: This is a step-by-step review of the DRP by the disaster recovery team and relevant stakeholders. It aims to verify the completeness and accuracy of the plan, as well as to clarify any doubts or questions among the participants45.
Simulation testing: This is a mock exercise of the DRP in a simulated disaster scenario. It aims to assess the readiness and effectiveness of the plan, as well as to identify any challenges or weaknesses that might arise during a real disaster45.
Checklist testing: This is a verification of the availability and functionality of the resources and equipment required for the DRP. It aims to ensure that the backup systems, data, and documentation are accessible and up-to-date45.
Full interruption testing: This is the most realistic and rigorous method of testing a DRP. It involves shutting down the primary site and activating the backup site for a certain period of time. It aims to measure the actual impact and performance of the DRP under real conditions45.
Parallel testing: This is a less disruptive method of testing a DRP. It involves running the backup site in parallel with the primary site without affecting the normal operations. It aims to compare and validate the results and outputs of both sites45.
Among these methods, full interruption testing would best demonstrate that an effective DRP is in place, as it provides the most accurate and comprehensive evaluation of the plan's capabilities and limitations4. Full interruption testing can reveal any hidden or unforeseen issues or risks that might affect the recovery process, such as data loss, system failure, compatibility problems, or human errors4. Full interruption testing can also verify that the backup site can support the critical operations and services of the organization without compromising its quality or security4.
However, full interruption testing also has some drawbacks, such as being costly, time-consuming, risky, and disruptive to the normal operations4. Therefore, it should be planned carefully and conducted periodically with proper coordination and communication among all parties involved4.
The other options are not as effective as full interruption testing in demonstrating that an effective DRP is in place. Frequent testing of backups is only one aspect of checklist testing, which does not cover other components or scenarios of the DRP4. Annual walk-through testing is only a theoretical review of the DRP, which does not test its practical implementation or outcomes4. Periodic risk assessment is only a preparatory step for developing or updating the DRP, which does not test its functionality or performance4.
References: 2: Best Practices For Disaster Recovery Testing | Snyk 3: Disaster Recovery Plan (DR) Testing - Methods and Must-haves - US Signal 4: Disaster Recovery Testing: What You Need to Know - Enterprise Storage Forum 5: Disaster Recovery Testing Best Practices - MSP360 1: How to Test a Disaster Recovery Plan - Abacus
CISA-KR 문제 199
The primary reason for an IS auditor to use data analytics techniques is to reduce detection risk. Detection risk is the risk that an IS auditor will fail to detect material errors or irregularities in the information systems environment. By using data analytics techniques, such as data extraction, analysis, visualization, and reporting, an IS auditor can enhance the audit scope, coverage, efficiency, and effectiveness. Data analytics techniques can help an IS auditor to identify anomalies, patterns, trends, correlations, and outliers in large volumes of data that may indicate potential issues or risks. Technology risk, control risk, and inherent risk are types of audit risk that are not directly affected by the use of data analytics techniques by an IS auditor. References: [ISACA Journal Article: Data Analytics for Auditors]
CISA-KR 문제 200
The IS auditor should be most concerned if completeness testing has not been performed on the log data, as this could indicate that some logs are missing, corrupted, or tampered with, and that the log aggregation system is not reliable or accurate12. Completeness testing is a process of verifying that all the logs generated by the source systems are successfully collected, transferred, and stored by the log aggregation system, and that there are no gaps or inconsistencies in the log data34. Completeness testing is essential for ensuring the integrity and validity of the log data, and for supporting the risk management practices of the organization.
References
1: Log Aggregation: How it Works, Methods, and Tools - Exabeam2 2: Log Aggregation & Monitoring Relation in Cybersecurity4 3: Log Aggregation: What It Is & How It Works | Datadog3 4: Data Flow Testing - GeeksforGeeks1
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