Reviewing the outsourcing strategy should be the first step when evaluating the possibility of outsourcing an IT system, because the outsourcing strategy defines the vision, objectives, scope, and approach of outsourcing IT activities and services to external providers. The outsourcing strategy should align with the enterprise's business strategy, IT strategy, and IT governance framework, and should consider the benefits, risks, costs, and impacts of outsourcing on the enterprise's performance, value, and stakeholders. By reviewing the outsourcing strategy, the enterprise can ensure that outsourcing an IT system is consistent with its strategic direction and goals, and that it can achieve the desired outcomes and benefits from outsourcing. According to ISACA's CGEIT Domain 2: IT Resources1, "the enterprise should have a clear vision of what it wants to achieve from outsourcing and how it will manage the relationship with the service provider." Furthermore, according to ISACA's article on IT Outsourcing2, "the first step in developing an effective IT outsourcing strategy is to understand the business drivers for outsourcing and align them with the enterprise's overall business objectives." Therefore, reviewing the outsourcing strategy is the best way to start evaluating the possibility of outsourcing an IT system. References:
IT Outsourcing - ISACA
IT Governance: Definitions, Frameworks and Planning - ProjectManager
What is IT governance? A formal way to align IT & business strategy | CIO CGEIT Domain 2: IT Resources

IT principles and policies are the documents that best reflect the ethical values adopted by an IT organization.
IT principles are the high-level statements that express the fundamental beliefs and values of the organization regarding the use and management of IT. IT policies are the specific rules and guidelines that implement the IT principles and ensure compliance with ethical standards and regulations. IT principles and policies help to align IT with business objectives, foster a culture of trust and responsibility, and promote good governance practices. References := CGEIT Exam Content Outline, Domain 1: Governance of Enterprise IT, Subtopic A:
Governance Framework, Task 2: Ensure that a framework is in place to support the alignment of IT with enterprise objectives, enabling value creation. Ethics for IT Professionals/Professional Code of Ethics, Ethical Code section. Values and Ethics in Information Systems, Introduction section. Purpose, Ethical Values, Culture and Behaviours, Ethical Values section.

Data classification is a process that involves users assigning labels or tags to data based on its sensitivity, value, and protection requirements. Users are the ones who know the data best and are responsible for handling it appropriately. Therefore, users should be provided with clear instructions that are easy to follow and understand, so they can classify data correctly and consistently. This will also help users comply with the data security policies and regulations that apply to the data they work with. References := CGEIT Exam Content Outline, Domain 1: Governance of Enterprise IT, Subtopic B: IT Resources, Task 3: Ensure that processes are in place to maintain the integrity, availability, reliability, performance, scalability and security of IT resources. What is Data Classification? | Best Practices & Data Types | Imperva, User-based classification section. Best practices for data classification - ManageEngine, 6 best practices for data classification section.

According to the CGEIT certification guide, the most effective approach to ensure senior management sponsorship of IT risk management is to integrate IT risk into enterprise risk management (ERM). This is because ERM is a holistic and strategic approach that considers all types of risks that may affect the achievement of the enterprise's objectives. By integrating IT risk into ERM, senior management can better understand the impact and interdependencies of IT risks on the enterprise's performance and value, and can provide more effective oversight and guidance to the IT risk management processes1. The other options are less effective than option D, as they do not address the alignment and integration of IT risk with the enterprise' s strategy and objectives. References:= CGEIT certification guide, domain 3: Risk Optimization, section 3.1:
Risk Governance, page 86.

This is because an information steward is a person or group who is accountable for the quality, integrity, and usability of the information assets within a specific domain or function1. The responsibilities of an information steward include the following1:
Defining and enforcing data quality standards, policies, and procedures Monitoring and measuring data quality performance and outcomes Identifying and resolving data quality issues and errors Collaborating with data owners, custodians, analysts, and users to ensure data quality alignment and improvement Educating and training data stakeholders on data quality best practices and tools An information steward plays a key role in ensuring that the information assets are accurate, complete, consistent, reliable, and fit for purpose1.
The other options, information custodian, information analyst, and information owner are not directly responsible for information quality. They are more involved in the creation, storage, access, and use of information assets, rather than their quality2. They may also have different perspectives and interests than the information steward regarding the information quality. For example, the information custodian may focus on the security and availability of information assets, while the information analyst may focus on the analysis and interpretation of information assets. The information owner may focus on the value and benefits of information assets. Therefore, they may not have the same authority or responsibility as the information steward for ensuring information quality. References := What Is an Information Steward? | Informatica, Data Roles: Data Owner vs Data Steward vs Data Custodian