CGEIT Exam Dumps - Isaca Certification Questions and Answers

The best way for an IT governance board to establish standards of behavior for the adoption of artificial intelligence (AI) is to direct the creation and approval of an ethical use policy. An ethical use policy is a document that defines the principles, values, and guidelines for the responsible and ethical design, development, and deployment of AI systems and applications within the enterprise. An ethical use policy can help to ensure that AI is aligned with the enterprise’s mission, vision, goals, and values, and that it respects the rights, dignity, and interests of all stakeholders, including customers, employees, partners, regulators, and society at large. An ethical use policy can also help to address the potential risks, challenges, and impacts of AI on various aspects such as privacy, security, fairness, accountability, transparency, trustworthiness, human dignity, human agency, social good, etc. According to ISACA’s article on Developing an Artificial Intelligence Governance Framework1, “an ethical use policy is essential for any enterprise that wants to adopt AI in a responsible and sustainable manner. An ethical use policy can help to establish trust and confidence in AI among the stakeholders and customers, and to avoid or mitigate any negative consequences or harms that may arise from AI.” Furthermore, according to ISACA’s article on Governance of Responsible AI: From Ethical Guidelines to Legal Frameworks2, “an ethical use policy can provide a common framework and language for the governance of AI across different domains, sectors, and regions. An ethical use policy can also facilitate the compliance with existing laws and regulations that may apply to AI.” Therefore, directing the creation and approval of an ethical use policy is the best way for an IT governance board to establish standards of behavior for the adoption of AI.

A data steward is a subject matter expert who is responsible for defining and maintaining the integrity of a specific type of data or data domain1. They help the organization build data glossaries, create and maintain data quality rules, and determine who has access to data1. Data stewards also work closely with any system of record to ensure proper controls are in place and are maintained to ensure the data produced is of high quality2. Therefore, if the IT department has determined that problems with a business report are due to quality issues within a set of data, they should refer the matter to the data steward for resolution. References := CGEIT Review Manual, Chapter 3: Benefits Realization, Section 3.2: IT Value Delivery Processes, Subsection 3.2.4: Data Quality Management, Page 103.

When considering an IT change that would enable a potential new line of business, the first strategic step for IT governance would be to ensure agreement among the stakeholders regarding a vision for the future state, because this would provide a clear direction and purpose for the change, and align the IT strategy with the business strategy. A vision statement should describe the desired outcomes and benefits of the change, and reflect the enterprise’s mission, values, and goals12. References := ISACA, CGEIT Review Manual, 7th Edition, 2019, page 23-24.

 According to the CGEIT exam guide, a root cause analysis (RCA) is a systematic process of identifying and analyzing the factors that cause an undesirable event or condition. It helps to determine the underlying causes of problems and issues, and to prevent their recurrence. A root cause analysis is the best way to enable the CIO to build a corrective action plan, as it provides a clear understanding of the reasons why IT service levels consistently fall below those outlined in the SLA, and suggests possible solutions and improvements. The other options are not sufficient to build a corrective action plan, as they do not address the root causes of the SLA failure. References: CGEIT Exam Candidate Guide, page 15. CGEIT Certification, Root Cause Analysis

Enterprise architecture (EA) is the process of aligning business and IT strategies, processes, and resources to achieve organizational goals and objectives1. EA implementation involves a significant amount of change in the enterprise, such as introducing new technologies, standards, policies, roles, and responsibilities2. Therefore, managing the challenge of change is MOST important to the successful implementation of EA, as it requires effective communication, stakeholder engagement, change management, and governance mechanisms34. Without managing the challenge of change, EA implementation may face resistance, confusion, conflict, or failure. References :=

• Entreprise Architecture: Critical Factors and Implementation | IEEE …5
• A Review of Critical Success Factors of Enterprise Architecture …3
• Critical Success Factors of Enterprise Architecture Implementation - IJOCIT1
• EVALUATION OF ENTERPRISE ARCHITECTURE IMPLEMENTATION: A CRITICAL …4

One of the primary responsibilities of a data steward is to classify and label organizational data assets, which means to assign categories and tags to the data based on its characteristics, such as type, source, sensitivity, quality, or purpose. Classifying and labeling data helps to organize, manage, and protect the data assets, as well as to facilitate their discovery, access, and usage. Data stewards are also responsible for defining and maintaining the data classification and labeling standards and policies, and ensuring their compliance across the organization. References: What Is a Data Steward? Roles & Responsibilities | Zuar1, Data Stewards: Who They Are & Why Data Stewardship Matters - HubSpot Blog2, Data Steward: Roles, Responsibilities, and Certification3

 The first step to address the issue of inconsistent enforcement of the enterprise’s mobile device acceptable use policy is to review the relevance of the existing policy. A mobile device acceptable use policy is a document that defines the rules and guidelines for using mobile devices, such as smartphones, tablets, and laptops, in the enterprise environment. The policy should cover aspects such as device ownership, security, privacy, compliance, and acceptable and unacceptable behaviors1. A review of the existing policy can help to identify any gaps, inconsistencies, or ambiguities that may cause confusion or non-compliance among the users. The review can also help to ensure that the policy reflects the current business needs, objectives, and risks of the enterprise, as well as the best practices and standards for mobile device management2. By reviewing the relevance of the existing policy, the enterprise can update and improve the policy to make it more clear, comprehensive, and effective. References:

• Acceptable Use Policy for Mobile Security for Businesses | Interplay
• The essential guide to establishing a mobile device policy - Hexnode Blogs

because this would help the enterprise to comply with privacy laws and regulations by identifying and labeling the data according to its sensitivity, confidentiality, and protection requirements. Data classification can help the enterprise to apply the appropriate security controls, access rights, retention policies, and disposal methods for the data, and to prevent unauthorized or unlawful use, disclosure, or breach of the data12. Data classification can also help the enterprise to demonstrate its accountability and transparency for the data processing activities, and to meet the expectations and rights of the data subjects12.

The benefits of IT governance are realized throughout the organization when IT governance is well established within the organizational culture. This means that IT governance is not only a formal process, but also a shared value and practice among all stakeholders. IT governance benefits include improved alignment, performance, risk management, value creation and compliance. References: CGEIT Domain 1: Framework for the Governance of Enterprise IT

The data owner is the role that is accountable for the confidentiality, integrity, and availability of information within an enterprise, because the data owner is the person who has the authority and responsibility to classify, label, and protect the information assets according to their value and sensitivity1. The data owner also defines the business requirements for the information security and ensures that the data custodian implements the appropriate controls to safeguard the information2. The data owner is also part of the IT governance domain 4: Value Delivery3. References := 1: Data Classification Standard3, page 42: 3 Pillars of Data Security: Confidentiality, Integrity & Availability43: CGEIT Review Manual 2023, ISACA, page 155.

An IT balanced scorecard is the most appropriate mechanism for measuring overall IT organizational performance, because it is a framework that translates the enterprise’s vision and strategy into a set of performance measures that cover four perspectives: financial, customer, internal business process, and learning and growth12. An IT balanced scorecard can help to communicate and monitor the IT strategy and goals, and align the IT activities and resources with the business needs and expectations. An IT balanced scorecard can also provide a balanced and comprehensive view of the IT performance and value delivery, and highlight the strengths, weaknesses, opportunities, and threats for improvement12. References := ISACA, CGEIT Review Manual, 7th Edition, 2019, page 43-44.

Data classification is a process of organizing and categorizing data based on its characteristics, confidentiality, and sensitivity. Data classification helps to determine the level of access and protection that data requires. Data classification also makes data easier to understand, compare, and analyze. Data classification is an essential part of information security, as it helps to align the security measures and policies with the data’s value and risk. By incorporating data classification into the information architecture, the IT processes can ensure that information security requirements are taken into consideration from the design stage to the implementation stage. References :=

• What is Data Classification? A Data Classification Definition
• What is Sensitive Data? Definition, Examples, and More

The most important thing to review during IT strategy development is the current business environment, as it reflects the internal and external factors that affect the enterprise’s performance, objectives, and needs. The current business environment includes the analysis of the enterprise’s strengths, weaknesses, opportunities, and threats (SWOT), as well as the assessment of the market trends, customer demands, competitor actions, and regulatory requirements. Reviewing the current business environment can help align the IT strategy with the business strategy, as well as identify and prioritize the IT initiatives and investments that can support and enable the enterprise’s goals and value proposition.

Industry best practices, IT balanced scorecard, and data flows that indicate areas requiring IT support are also important things to review during IT strategy development, but they are not the most important thing. Industry best practices are the methods or techniques that have been proven to be effective or efficient in achieving a desired outcome or result in a specific domain or context. Industry best practices can help benchmark and improve the IT strategy, as well as adopt or adapt the best solutions or innovations from other enterprises or sectors. IT balanced scorecard is a set of metrics that measure the performance of IT in relation to the enterprise’s vision, strategy, and goals. IT balanced scorecard can help evaluate and communicate the effectiveness and efficiency of IT strategy, as well as its contribution to customer satisfaction, business value, and innovation. Data flows that indicate areas requiring IT support are the diagrams or models that show how data is collected, processed, stored, and distributed within or across the enterprise’s processes or systems. Data flows can help identify and address the gaps or issues in IT service delivery or data management, as well as optimize or integrate the data systems or tools.

The IT investment process is a systematic approach to selecting, managing, and evaluating information technology investments that align with the enterprise’s strategic goals and objectives. The first step in the IT investment process is to select IT projects that will best support the enterprise’s mission, vision, and values. This involves identifying the business needs, problems, or opportunities that IT can address, and prioritizing them based on their alignment with the enterprise’s strategy, performance, and risk management. This step also involves defining the scope, objectives, and expected outcomes of each IT project, and establishing criteria for measuring its success and value. Selecting IT projects that will best support the enterprise’s mission helps ensure that IT investments are relevant, effective, and efficient for the enterprise.

As part of the implementation of IT governance, the board of an enterprise should establish an IT strategy committee to provide input to and ensure alignment of the enterprise and IT strategies, because this would enable the board to oversee and direct the IT function in a way that supports the enterprise’s vision, mission, goals, and objectives. The IT strategy committee should consist of board members and senior executives who have a stake in the IT performance and value delivery, and who can communicate and coordinate with other board committees and business units. The IT strategy committee should also review and approve the IT strategic plan, monitor the IT performance and outcomes, and ensure the alignment of IT resources and capabilities with the enterprise’s needs and expectations1 . References := ISACA, CGEIT Review Manual, 7th Edition, 2019, page 19-20.