New Release CGEIT Isaca Certification Questions

The primary goal of implementing service level agreements (SLAs) with an outsourcing vendor is to achieve operational objectives, such as improving service quality, efficiency, effectiveness, and value. SLAs are contracts that define the scope, standards, and expectations of the service delivery, as well as the roles, responsibilities, and rights of both parties. SLAs can help align the outsourcing vendor’s services with the enterprise’s strategy, goals, and needs, as well as monitor and measure their performance and outcomes. SLAs can also help manage the risks, costs, and benefits of outsourcing, as well as resolve any issues or disputes that may arise.

Gaining a competitive advantage, establishing penalties for not meeting service levels, and complying with regulatory requirements are possible benefits or outcomes of implementing SLAs with an outsourcing vendor, but they are not the primary goal. Gaining a competitive advantage is a strategic objective that may result from outsourcing some IT functions or processes to a vendor that can provide better or cheaper services than the enterprise itself or its competitors. Establishing penalties for not meeting service levels is a mechanism that can be included in SLAs to enforce accountability and compliance, as well as to compensate for any losses or damages caused by poor service delivery. Complying with regulatory requirements is a legal obligation that may affect the design and implementation of SLAs, especially when outsourcing involves sensitive or personal data or cross-border transactions.

References := 12 Service Level Agreement (SLA) best practices for IT leaders; Contents The Complete Guide To IT Service Level Agreements - IT Governance; Service level management and service level agreements - IT Governance; Service Level Agreements: A Legal and Practical Guide.

Classifying information using an agreed-upon schema is the best way to ensure the integrity of data when establishing an enterprise data model. A schema is a logical structure that defines how data is organized, stored, and accessed. By using a common schema across the enterprise, data can be standardized, validated, and integrated more easily and consistently. A schema also helps to avoid data duplication, inconsistency, and ambiguity, which can compromise data integrity. References: What Is an Enterprise Data Model? [+ Examples] - HubSpot Blog

 IT governance is the process of ensuring that IT supports and enables the achievement of the enterprise’s goals and objectives, and delivers value to the stakeholders1. Stakeholders are the individuals or groups that have a stake in the success or failure of IT governance, such as board members, senior management, business units, IT function, customers, suppliers, regulators, and society1. By considering stakeholders’ support, an enterprise can ensure that the IT governance framework is aligned with and driven by the stakeholders’ needs, expectations, and interests1. Stakeholders’ support can also help to facilitate the communication, collaboration, and decision-making processes among the IT governance participants, and to gain their commitment and buy-in for the IT governance implementation and improvement1.

The other options are not as important as stakeholders’ support, as they are either specific aspects or outcomes of IT governance, but not comprehensive factors. Information technology risk is the potential for negative consequences due to the use or misuse of IT within an enterprise. Information technology risk can affect the IT governance framework, but it is not the most important factor to consider, as it is only one of the many elements that influence IT governance2. Framework development cost is the amount of money and resources required to design and implement the IT governance framework. Framework development cost can affect the IT governance framework, but it is not the most important factor to consider, as it is only one of the many criteria that evaluate IT governance3. Information technology strategy is the plan that defines how the IT function supports and enables the overall business strategy and objectives of an enterprise. Information technology strategy can affect the IT governance framework, but it is not the most important factor to consider, as it is only one of the many components that constitute IT governance

The best way to enable the mapping of cost to risk for selecting a disaster recovery site based on available risk data is to perform a business impact analysis (BIA). A BIA is a process of identifying and evaluating the potential effects of various disaster scenarios on the critical business functions and processes of an organization. A BIA can help estimate the financial and operational impacts of losing or disrupting the business functions and processes, such as revenue loss, customer dissatisfaction, regulatory fines, contractual penalties, reputation damage, etc. A BIA can also help determine the recovery time objectives (RTOs) and recovery point objectives (RPOs) for each business function and process, which indicate how quickly and how much data they need to be restored after a disaster. By performing a BIA, the IT steering committee can map the cost of each disaster recovery site option to the risk of each disaster scenario, and compare the trade-offs between different levels of protection and investment1.

The other options are not the best ways to enable the mapping of cost to risk for selecting a disaster recovery site. Key risk indicators (KRIs) are metrics that indicate the level of risk exposure or potential impact of a risk event on an organization. KRIs can help monitor and manage IT risks, but they do not necessarily reflect the cost of different disaster recovery site options. Scenario-based assessment is a method of analyzing and evaluating the likelihood and consequences of various risk scenarios. Scenario-based assessment can help identify and prioritize IT risks, but it does not provide a clear measure of the cost of different disaster recovery site options. Qualitative forecasting is a technique of using expert opinions, judgments, or intuition to predict future outcomes or trends. Qualitative forecasting can help estimate the future demand or growth of IT services, but it does not provide a reliable or objective basis for mapping the cost to risk of different disaster recovery site options.