Risk management strategies are primarily adopted to achieve acceptable residual risk levels, which are the levels of risk that remain after applying risk response measures. Risk management strategies are the approaches or methods that an organization uses to identify, assess, and treat its IT-related risks. Risk management strategies can vary depending on the organization's risk appetite, tolerance, and capacity, as well as the nature and impact of the risks. Some common risk management strategies are: avoid, reduce, transfer, share, or accept. The other options are not as primary, as they are more related to the outcomes or objectives of risk management strategies, rather than the purpose or intention of them. References: : CGEIT Review Manual (Digital Version), Chapter 4: Risk Optimization, Section 4.3: IT Risk Management, Subsection 4.3.1:
IT Risk Management Overview, Page 153 : CGEIT Review Manual (Digital Version), Chapter 4: Risk Optimization, Section 4.3: IT Risk Management, Subsection 4.3.2: IT Risk Management Process, Page 156 :
CGEIT Review Manual (Digital Version), Chapter 4: Risk Optimization, Section 4.3: IT Risk Management, Subsection 4.3.3: IT Risk Management Techniques and Tools, Page 158 : Proactive IT Risk Management in an Era of Emerging Technologies1

An enterprise IT strategy is a plan that defines the vision, mission, goals, and objectives of the IT function in relation to the business needs and expectations of the enterprise. An enterprise IT strategy also outlines the principles, policies, standards, and frameworks that guide the IT governance, management, and operations.
An enterprise IT strategy best supports enterprise decision making for IT resource allocation, as it helps to align the IT resources with the business priorities and strategies, and to optimize the value and performance of the IT function and its services. An enterprise IT strategy also helps to identify and prioritize the IT initiatives and investments that can deliver the desired outcomes and benefits for the enterprise, and to allocatethe appropriate resources for their execution and delivery. An enterprise IT strategy also helps to monitor and evaluate the results and impacts of the IT resource allocation decisions, and to provide feedback and improvement opportunities. References: CGEIT Exam Content Outline | ISACA1, CGEIT Review Manual (Digital Version), What is an IT Strategy? - Definition from Techopedia2, How to create an effective IT strategy | The Enterprisers Project3

Aligning the program to the business requirements. IT value management is the process of planning, measuring, and optimizing the value delivered by IT to the business. Changing an IT value management program means introducing new or improved methods, tools, or practices to enhance the IT value management process. The best CSF for this change is to align the program to the business requirements, which means ensuring that the program supports the business strategy, goals, and needs, and delivers the expected benefits and outcomes to the business stakeholders12.
The other options are not as effective as aligning the program to the business requirements to use as a CSF for changing an IT value management program. Documenting the process for the board of directors' approval is a step that may be required for changing an IT value management program, but it does not guarantee that the program will be successful or effective. Adopting the program by using an incremental approach is a strategy that may help to implement the change more smoothly and gradually, but it does not ensure that the change will meet the business expectations or needs. Implementing the program through the enterprise's change plan is a tactic that may facilitate the coordination and communication of the change across the enterprise, but it does not ensure that the change will align with the business strategy or goals.
References: 1: IT Value Management - Compact3 2: 7 Rules for Demonstrating the Business Value of IT - Gartner

The most critical activity for reducing the impact caused by IT staff turnover is to document processes and procedures, as this can help preserve the knowledge and experience of the existing IT staff, as well as facilitate the training and orientation of the new IT staff. Documenting processes and procedures can also help standardize and improve the quality and efficiency of IT operations, services, and projects, as well as ensure compliance with regulations and policies. Documenting processes and procedures can also help define and clarify the roles and responsibilities of the IT staff, as well as the expectations and requirements of the business units.
Outsourcing the IT operation, increasing compensation for IT staff, and hiring temporary staff are possible activities for addressing the IT staff turnover issue, but they are not the most critical activity. Outsourcing the IT operation may reduce the dependency on internal IT staff, but it may also introduce new risks and challenges for IT governance and management, such as vendor selection, contract negotiation, service level agreement (SLA) monitoring, and data security. Increasing compensation for IT staff may improve the retention and motivation of the existing IT staff, but it may also increase the operational costs and budget constraints of the IT department. Hiring temporary staff may fill the gaps or shortages in IT skills or resources, but it may also affect the continuity and consistency of IT service delivery, as well as the integration and collaboration of IT teams.

The aspect of information governance that best enables an enterprise to avoid duplication of records and promote consistency of data is data modeling. Data modeling is the process of creating and maintaining a logical representation of the data structures, relationships, and constraints that exist in an enterprise's data sources, such as databases, applications, or systems. Data modeling can help ensure that the data is accurate, complete, and standardized across the enterprise, as well as facilitate the integration, analysis, and sharing of data. Data modeling can also help improve the data quality, security, and governance, as well as support the business processes and decisions that rely on data. What is Data Modeling? Definition & Best Practices provides an overview of data modeling and its benefits.