The best source of information to determine the required level of data protection on a file server is the data classification policy and procedures, which define the criteria and methods for classifying data according to its sensitivity, value, and criticality, and specify the appropriate security measures and controls for each data category. Data classification policy and procedures help to ensure that data is protected in proportion to its importance and risk exposure. Access rights of similar file servers, previous data breach incident reports,and acceptable use policy and privacy statements are not sufficient or reliable sources of information to determine the required level of data protection on a file server, as they do not provide clear and consistent guidance on how to classify and protectdata. References: CISA Review Manual (Digital Version), Chapter 5: Protection of Information Assets, Section 5.1: Information Asset Security Framework

The greatest concern for an IS auditor when an international organization intends to roll out a global data privacy policy is that local regulations may contradict the policy. Data privacy regulations vary across different countries and regions, and they may impose different or conflicting requirements on how personal data can be collected, processed, stored, transferred, and disclosed. The organization should ensure that its global data privacy policy complies with the applicable local regulations in each jurisdiction where it operates, or risk facing legal sanctions or reputational damage. Requirements may become unreasonable, but this is not a major concern for an IS auditor, as it is a business decision that should be based on a cost-benefit analysis. The policy may conflict with existing application requirements, but this is not a serious concern for an IS auditor, as it can be resolved by modifying or updating the applications to align with the policy. Local management may not accept the policy, but this is not a critical concern for an IS auditor, as it can be mitigated by providing adequate training and awareness on the policy and its benefits. References:
CISA Review Manual, 27th Edition, pages 406-4071
CISA Review Questions, Answers and ExplanationsDatabase, Question ID: 2592

Admin accounts typically have the highest level of privileges and access to sensitive data. If the passwords for these accounts are not set to expire, it increases the risk of unauthorized access and potential security breaches. This is especially true if an admin's credentials are compromised, as the attacker could have ongoing access to critical systems and data1.
References:
Database Auditing - Satori

The first step when creating a data classification program is to develop a policy (D). A data classification policy is a document that defines the purpose, scope, objectives, roles, responsibilities, and procedures of the data classification program. A data classification policy is essential for establishing the governance framework, standards, and guidelines for the data classification process. A data classification policy also helps to communicate the expectations and benefits of the data classification program to the stakeholders, such as data owners, users, custodians, and auditors12.
Categorizing and prioritizing data (A) is not the first step when creating a data classification program, but the third step. Categorizing and prioritizing data involves defining and applying the criteria and labels for classifying data based on its sensitivity, value, and risk. For example, data can be categorized into public, internal, confidential, or restricted levels. Categorizing and prioritizing data helps to identify and protect the most critical and sensitive data assets of the organization12.
Developing data process maps (B) is not the first step when creating a data classification program, but the fourth step. Developing data process maps involves documenting and analyzing the flow and lifecycle of data within the organization. Data process maps show how data is created, collected, stored, processed, transmitted, used, shared, archived, and disposed of. Developing data process maps helps to understand the context and dependencies of data, as well as to identify and mitigate any potential risks or issues related to data quality, security, or compliance12.
Categorizing information by owner is not the first step when creating a data classification program, but the second step. Categorizing information by owner involves assigning roles and responsibilities for each type of data based on its ownership and stewardship. Data owners are the individuals or entities that have the authority and accountability for the data. Data stewards are the individuals or entities that have the operational responsibility for managing and maintaining the data. Data custodians are the individuals or entities that have the technical responsibility for implementing and enforcing the security and access controls for the data12.
References:
7 Steps to Effective Data Classification | CDW
Data Classification: The Basics and a 6-Step Checklist - NetApp