Isaca Isaca Certification CGEIT New Questions

The first step to strengthen and enforce current data governance practices after a data leakage incident is to verify data owners. Data owners are the individuals or groups who have the authority and responsibility to define, classify, protect, and manage the data assets of an enterprise1. By verifying data owners, the enterprise can ensure that the data is properly accounted for, categorized, and secured according to its value, sensitivity, and risk. Data owners can also establish data policies, standards, and procedures, as well as monitor and report on data quality, usage, and compliance1. Verifying data owners is a prerequisite for assessing data security controls, reviewing data logs, and analyzing data quality, as these activities depend on the accurate identification and assignment of data ownership roles and responsibilities. References: CGEIT Review Manual (Digital Version) or CGEIT Review Manual (Print Version), Chapter 4: Risk Optimization, Section 4.2: IT Risk Management Process, Subsection 4.2.1: IT Risk Identification, Page 163-164. Top 10 Effective Data Governance Tools.

Organizational culture is the most important consideration when designing an implementation plan for IT governance, because it influences the ethics, values, behaviors, and attitudes of the people involved in the governance process. Organizational culture also affects the acceptance, adoption, and sustainability of the IT governance framework and practices. According to COBIT 5, one of the seven enablers of IT governance is culture, ethics and behavior1. The roadmap for implementing and improving IT governance also emphasizes the importance of understanding and addressing the cultural and behavioral aspects of the enterprise2. References := 1: COBIT 5: A Business Framework for the Governance and Management of Enterprise IT, ISACA, page 312: A Roadmap for Implementing and Improving IT Governance1

 It addresses key stakeholder requirements. Information architecture (IA) is the process of organizing, structuring, and labeling content in an effective and sustainable way1. A well-defined IA should address the key stakeholder requirements, such as the business goals, user needs, and technical constraints1. By addressing the key stakeholder requirements, a well-defined IA can ensure that the content is relevant, accessible, understandable, and usable for the intended audience1. It can also support the communication, collaboration, and decision-making processes within the enterprise1. The other options are not as important as addressing the key stakeholder requirements, as they are possible outcomes or benefits of a well-defined IA, but not its defining characteristic. Ensuring compliance with regulations, enabling achievement of service level agreements (SLAs), and supporting IT strategic goals are some of the advantages that a well-defined IA can provide, but they are not the primary purpose or criteria of IA1

Outcome measures are indicators that measure the results or impacts of a strategy, program, or project on the intended beneficiaries or stakeholders1. The primary objective of building outcome measures is to monitor whether the chosen strategy is successful in achieving its goals and objectives, and to evaluate its effectiveness and efficiency2. Outcome measures can also help to communicate the value and benefits of the strategy to the relevant audiences, and to identify areas for improvement or adjustment3. Outcome measures are different from output measures, which measure the activities or products that are delivered by the strategy, but not necessarily their effects or outcomes4. References :=

• Outcome Measures - an overview | ScienceDirect Topics
• Outcome Measurement | The Australian Institute of Family Studies
• Outcome Measurement: A Guide for Nonprofit Organizations | Imagine Canada
• Doing Quantitative Research with Outcome Measures