Isaca Updated CISA Exam Questions and Answers by nikita

 The advantage of using agile software development methodology over the waterfall methodology is that it allows for quicker deliverables. Agile software development is an iterative and incremental approach that emphasizes customer feedback, collaboration, and adaptation. Agile software development delivers working software in short cycles, called sprints, that typically last from two to four weeks. This enables the development team to respond to changing requirements, deliver value faster, and improve quality. Waterfall software development is a linear and sequential approach that follows a predefined set of phases, such as planning, analysis, design, implementation, testing, and maintenance. Waterfall software development requires a clear and stable definition of the project scope, deliverables, and expectations before starting the development process. Waterfall software development can be slow, rigid, and costly, especially if changes occur during the later stages of the project. References: CISA Review Manual (Digital Version), Chapter 3: Information Systems Acquisition, Development & Implementation, Section 3.1: Project Management Practices

Regression testing is the most appropriate testing method for assessing whether system integrity has been maintained after changes have been made. Regression testing is a type of software testing that ensures that previously developed and tested software still performs as expected after a change1 Regression testing helps to detectany defects or errors that may have been introduced or uncovered due to the change2 Regression testing can be performed at different levels of testing, such as unit, integration, system, and acceptance3

Unit testing is a type of software testing that verifies the functionality of individual components or units of code. Unit testing is usually performed by developers before integrating the code with other components. Unit testing helps to identify and fix errors at an early stage of development, but it does not ensure that the system as a whole works as expected after a change.

Integration testing is a type of software testing that verifies the functionality, performance, and reliability of the interactions between different components or units of code. Integration testing is usually performed after unit testing and before system testing. Integration testing helps to identify and fix errors that may occur when different components are integrated, but it does not ensure that the system as a whole works as expected after a change.

Acceptance testing is a type of software testing that verifies whether the system meets the user requirements and expectations. Acceptance testing is usually performed by end-users or customersafter system testing and before deploying the system to production. Acceptance testing helps to ensure that the system delivers the desired value and quality to the users, but it does not ensure that the system as a whole works as expected after a change.

References: 1: What is Regression Testing? Test Cases (Example) - Guru99 2: What is Regression Testing? Definition, Tools, Examples - Katalon 3: Regression testing - Wikipedia : What is Unit Testing? Definition, Types, Tools & Examples - Guru99 : What is Integration Testing? Definition, Types, Tools & Examples - Guru99 : What is Acceptance Testing? Definition, Types, Tools & Examples - Guru99

The primary advantage of using virtualization technology for corporate applications is to achieve better utilization of resources, such as hardware, software, network and storage. Virtualization technology allows multiple applications to run on a single physical server or device, which reduces the need for additional hardware and maintenance costs. Virtualization technology also enables dynamic allocation and reallocation of resources according to the demand and priority of the applications, which improves efficiency and flexibility. The other options are not the primary advantage of using virtualization technology, although they may be some of the benefits or challenges depending on the implementation and configuration. References:

ISACA, CISA Review Manual, 27th Edition, chapter 4, section 4.21

ISACA, COBIT 2019 Framework: Introduction and Methodology, section 3.23

The answer A is correct because the greatest concern for an IS auditor when a data owner assigns an incorrect classification level to data is that controls to adequately safeguard the data may not be applied. Data classification is the process of categorizing data assets based on their information sensitivity and business impact. Data classification helps organizations to identify, protect, and manage their data according to their value and risk. Data owners are the individuals or entities who have the authority and responsibility to define, classify, and control the access and use of their data.

Data classification typically involves assigning labels or tags to data assets, such as public, internal, confidential, or restricted. These labels indicate the level of protection and handling required for the data. Based on the data classification, organizations can implement appropriate controls to safeguard the data, such as encryption, access control lists, audit logs, backup policies, etc. These controls help to prevent unauthorized access, disclosure, modification, or loss of data, and to ensure compliance with relevant laws and regulations.

If a data owner assigns an incorrect classification level to data, it can result in either underprotection or overprotection of the data. Underprotection means that the data is classified at a lower level than it should be, which exposes it to higher risks of compromise or breach. For example, if a data owner classifies personal health information (PHI) as public instead of confidential, it may allow anyone to access or share the data without proper authorization or consent. This can violate the privacy rights ofthe data subjects and the compliance requirements of regulations such as HIPAA (Health Insurance Portability and Accountability Act). Overprotection means that the data is classified at a higher level than it should be, which limits its availability or usability. For example, if a data owner classifies marketing materials as restricted instead of public, it may prevent potential customers or partners from accessing or viewing the data. This can reduce the business value and opportunities of the data.

Therefore, an IS auditor should be concerned about the accuracy and consistency of data classification by data owners, as it affects the security and efficiency of data management. An IS auditor should review the policies and procedures for data classification, verify that the data owners have adequate knowledge and skills to classify their data, and test that the data classification labels match with the actual sensitivity and impact of the data.

References:

Data Classification: What It Is and How to Implement It

What Is Data Classification? - Definition, Levels & Examples …

Data Classification: A Guide for Data Security Leaders