The greatest concern for an IS auditor reviewing an organization's disaster recovery plan (DRP) is that the DRP has not been updated since an IT infrastructure upgrade. This could render the DRP obsolete or ineffective, as it may not reflect the current configuration, dependencies or recovery requirements of the IT systems. The IS auditor should ensure that the DRP is reviewed and updated regularly to align with any changes in the IT environment. The DRP has not been formally approved by senior management is a concern for an IS auditor reviewing an organization's DRP, but it is not as critical as ensuring that the DRP is up to date and valid. The DRP has not been distributed to end users or the DRP contains recovery procedures for critical servers only are issues that relate to the communication or scope of the DRP, but not to its validity or effectiveness. References: ISACA, CISA Review Manual, 27th Edition, 2018, page 389

The statement that BEST demonstrates alignment with data classification standards related to the protection of information assets is D. All information assets will be assigned a clearly defined level to facilitate proper employee handling. Data classification involves categorizing information assets based on their sensitivity, importance, and usage. Assigning clearly defined levels (such as public, internal, confidential, etc.) to information assets ensures that appropriate security controls are applied based on their classification. By doing so, organizations can manage access, encryption, and other protective measures effectively12.
References:
1. IFRC. "Information Security: Acceptable Use Policy." 1(https://www.ifrc.org/sites/default/files/2021-11
/IFRC-Information-Security-Acceptable-Use-Policy.pdf)
2. UNSW Sydney. "Data Classification Standard." 2(https://www.unsw.edu.au/content/dam/pdfs/governance
/policy/2022-01-policies/datastandard.pdf)
3. Digital Guardian. "What is a Data Classification Policy?" 3(https://www.digitalguardian.com/blog/what- data-classification-policy)
4. Microsoft Service Trust Portal. "Data classification & sensitivity label taxonomy." 4(https://learn.microsoft.
com/en-us/compliance/assurance/assurance-data-classification-and-labels)
5. Clark University ITS Policies. "Data Classification - Data Security Policies." 5(https://www2.clarku.edu
/offices/its/policies/data_classification.cfm)