Isaca Updated CGEIT Exam Questions and Answers by oakley

 Guiding principles and best practices are the most important elements to document for a business ethics program, because they provide the foundation and direction for the program. Guiding principles are the core values and beliefs that inform the ethical behavior and decision-making of the organization and its stakeholders. Best practices are the methods and techniques that have been proven to be effective and efficient in achieving the desired ethical outcomes. Documenting guiding principles and best practices helps to communicate the purpose, scope, and objectives of the business ethics program, as well as the roles and responsibilities, policies and procedures, standards and expectations, and evaluation and improvement mechanisms. Documenting guiding principles and best practices also helps to align the business ethics program with the organizational strategy and culture, and to foster a consistent and coherent ethical environment.

References := How to Build a Business Ethics Program - Bizmanualz, A Guide for Business How to develop a Human rights Policy.

According to the ISACA paper on IT Governance Reporting1, the most important information to include in IT governance reporting to the board of directors is the critical risks that IT faces or poses to the enterprise. Critical risks are those that have a high likelihood and impact, and that could threaten the achievement of the enterprise’s strategy, objectives and goals. Critical risks could include cyberattacks, data breaches, regulatory compliance violations, IT project failures, IT service disruptions, IT resource shortages, etc. The board of directors should be aware of the critical risks, as well as the actions taken or planned to mitigate them. The other options are not as important as critical risks, as they are more related to the operational or tactical aspects of IT, rather than the strategic or governance aspects.

Data stewardship is the process of defining, implementing, and enforcing policies, standards, roles, and responsibilities for the quality, security, privacy, and usage of data within an enterprise1. Data stewardship has the greatest influence on data quality assurance, as it ensures that the data is accurate, complete, consistent, timely, and fit for its intended purpose1. Data stewardship also helps to identify and resolve data quality issues, monitor and measure data quality performance, and improve data quality over time1. The other options are not as influential as data stewardship, as they are specific aspects or techniques of data management, but not comprehensive processes. Data encryption is the process of transforming data into an unreadable format to protect it from unauthorized access or modification2. Data encryption can enhance data security and privacy, but it does not directly affect data quality assurance. Data classification is the process of categorizing data based on its value, sensitivity, and risk to the enterprise. Data classification can help to apply appropriate controls and policies for data protection and compliance, but it does not directly affect data quality assurance. Data modeling is the process of creating a representation of the structure, relationships, and meaning of data within a specific domain or context. Data modeling can help to design and optimize databases and applications that use data, but it does not directly affect data quality assurance.

 A SWOT analysis is a technique that analyzes strengths, weaknesses, opportunities, and threats of an organization or a project. Strengths and weaknesses are internal factors that can be controlled or influenced by the organization, while opportunities and threats are external factors that are influenced by the environment, market, or competitors1. Therefore, to identify opportunities and threats, it is most helpful to conduct a competitor analysis, which is a process of researching and evaluating the strengths and weaknesses of the competitors in the same industry or market2. A competitor analysis can help to identify the gaps, trends, and best practices in the market, and to discover potential areas for improvement, innovation, or differentiation2. According to ISACA’s CGEIT Domain 1: Framework for the Governance of Enterprise IT3, “the enterprise should analyze its external environment to identify opportunities and threats that may affect its ability to achieve its strategic objectives.” Furthermore, according to ISACA’s article on IT Strategy, “a competitor analysis can help to understand how the enterprise compares with its peers in terms of IT capabilities, performance, and value.” Therefore, a competitor analysis is the best way to identify opportunities and threats as part of IT strategy development.