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 of the 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

The approach adopted by management in this scenario is risk avoidance. Risk avoidance is the elimination of a risk by discontinuing or not undertaking an activity that poses a threat to the organization3. By moving data center operations to another facility on higher ground, management is avoiding the potential flooding risk that could disrupt or damage the data center. Risk transfer, risk acceptance and risk reduction are other possible approaches for dealing with risks, but they do not apply in this case. References:
* CISA Review Manual, 27th Edition, page 641
* CISA Review Questions, Answers & Explanations Database - 12 Month Subscription

Secure coding practices are the best way to prevent cross-site scripting (XSS) attacks, because they can ensure that the web application validates and sanitizes user input and output data to prevent malicious scripts from being executed on the web browser. XSS attacks are a type of web application vulnerability that exploit the lack of input validation or output encoding in web pages that accept user input or display dynamic content. Application firewall policy settings, a three-tier web architecture, and use of common industry frameworks are not effective controls to prevent XSS attacks, because they do not address the root cause of the vulnerability in the web application code. References: CISA Review Manual (Digital Version), Chapter 5, Section 5.4.2