{"id":16863,"date":"2026-09-19T11:47:53","date_gmt":"2026-09-19T11:47:53","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=16863"},"modified":"2026-09-19T11:47:53","modified_gmt":"2026-09-19T11:47:53","slug":"isaca-aaism-practice-test-questions-and-exam-dumps-part11-q201-220","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/isaca-aaism-practice-test-questions-and-exam-dumps-part11-q201-220\/","title":{"rendered":"Isaca AAISM Practice Test Questions and Exam Dumps Part11 Q201-220"},"content":{"rendered":"

<\/h1>\n

View Full <\/b>Isaca AAISM Exam Dumps<\/b><\/a> and Practice Test Dumps<\/b><\/p>\n

 <\/p>\n

Question 201. Which governance activity is most important when an organization acquires another company that operates AI systems?<\/b><\/h3>\n
    \n
  1. <\/b> Immediately retire all acquired AI systems<\/span><\/li>\n
  2. <\/b> Assess the acquired AI systems against the organization\u2019s governance, risk, and compliance requirements<\/span><\/li>\n
  3. <\/b> Allow the acquired business unit to maintain its existing AI policies indefinitely<\/span><\/li>\n
  4. <\/b> Transfer all AI systems to the internal audit department<\/span><\/li>\n<\/ol>\n

    Correct Answer: 2. Assess the acquired AI systems against the organization\u2019s governance, risk, and compliance requirements<\/b><\/p>\n

    Explanation:<\/b><\/p>\n

    When an organization acquires another company, its AI systems, data, models, vendors, policies, and associated risks become part of the broader enterprise environment. The acquiring organization should therefore perform a structured governance assessment to identify differences in policies, regulatory obligations, risk classifications, ownership, security controls, documentation, and monitoring practices. This assessment helps determine which systems can be integrated immediately and which require remediation or additional review. Automatically retiring every acquired system is unnecessary, while allowing legacy practices to continue indefinitely can create governance gaps. Internal audit should provide independent assurance rather than assume operational ownership. A structured integration assessment creates traceability and supports consistent enterprise-wide AI governance.<\/span><\/p>\n

    Question 202. During an organizational restructuring, what should AI governance leaders do first regarding existing AI responsibilities?<\/b><\/h3>\n
      \n
    1. <\/b> Eliminate all previous AI ownership assignments<\/span><\/li>\n
    2. <\/b> Pause every AI system until the restructuring ends<\/span><\/li>\n
    3. <\/b> Rely on informal agreements between employees<\/span><\/li>\n
    4. <\/b> Review and update AI roles, responsibilities, and decision rights<\/span><\/li>\n<\/ol>\n

      Correct Answer: 4. Review and update AI roles, responsibilities, and decision rights<\/b><\/p>\n

      Explanation:<\/b><\/p>\n

      Organizational restructuring can change reporting relationships, business-unit responsibilities, system ownership, and escalation paths. AI governance leaders should review the existing responsibility structure and formally update roles and decision rights so that accountability remains clear. This includes confirming who owns AI risks, who approves high-risk use cases, who manages incidents, and who is responsible for ongoing monitoring and compliance. Simply pausing systems may unnecessarily disrupt business operations, while informal agreements can create ambiguity. Removing all existing ownership without establishing replacements can also introduce significant control gaps. Updated responsibility matrices, governance charters, and escalation procedures help preserve accountability throughout organizational change.<\/span><\/p>\n

      Question 203. What is the primary purpose of aggregating AI risks across multiple business units?<\/b><\/h3>\n
        \n
      1. <\/b> To identify enterprise-level patterns and cumulative exposure<\/span><\/li>\n
      2. <\/b> To eliminate the need for business-unit risk assessments<\/span><\/li>\n
      3. <\/b> To ensure every AI system uses the same model<\/span><\/li>\n
      4. <\/b> To transfer all AI risk to senior management<\/span><\/li>\n<\/ol>\n

        Correct Answer: 1. To identify enterprise-level patterns and cumulative exposure<\/b><\/p>\n

        Explanation:<\/b><\/p>\n

        Individual business units may manage their AI risks appropriately within their own boundaries while the organization still faces significant aggregate exposure. Enterprise-level risk aggregation helps identify common dependencies, repeated control weaknesses, correlated risks, and concentrations that may not be visible from individual assessments. For example, several business units may independently rely on the same external AI provider, dataset, or infrastructure service. A disruption affecting that shared dependency could therefore have an organization-wide impact. Aggregation does not replace business-unit risk management or transfer every risk to senior management. Instead, it provides governance leaders with a broader view that supports informed oversight, prioritization, and resource allocation.<\/span><\/p>\n

        Question 204. What AI governance concern is associated with multiple business units relying on the same external AI provider?<\/b><\/h3>\n
          \n
        1. <\/b> Excessive documentation requirements<\/span><\/li>\n
        2. <\/b> Reduced model interpretability in every case<\/span><\/li>\n
        3. <\/b> Concentration risk<\/span><\/li>\n
        4. <\/b> Elimination of third-party risk<\/span><\/li>\n<\/ol>\n

          Correct Answer: 3. Concentration risk<\/b><\/p>\n

          Explanation:<\/b><\/p>\n

          Concentration risk occurs when multiple important business processes depend on the same provider, platform, model, or infrastructure component. If that shared provider experiences an outage, security incident, regulatory restriction, material service change, or financial failure, several business units could be affected simultaneously. AI governance should therefore identify common external dependencies and evaluate whether the resulting concentration is acceptable. Appropriate responses may include alternative providers, contingency arrangements, contractual protections, portability planning, or additional monitoring. Concentration risk is different from ordinary vendor risk because the potential impact is amplified by the number and criticality of dependent systems. Enterprise governance should make these dependencies visible and subject them to appropriate oversight.<\/span><\/p>\n

          Question 205. Which governance practice is most useful for identifying cascading effects from a failure in a critical AI system?<\/b><\/h3>\n
            \n
          1. <\/b> Reviewing only the AI model\u2019s accuracy<\/span><\/li>\n
          2. <\/b> Mapping dependencies and downstream business processes<\/span><\/li>\n
          3. <\/b> Removing all human oversight<\/span><\/li>\n
          4. <\/b> Limiting governance reviews to annual financial reporting<\/span><\/li>\n<\/ol>\n

            Correct Answer: 2. Mapping dependencies and downstream business processes<\/b><\/p>\n

            Explanation:<\/b><\/p>\n

            Cascading AI risks can occur when one system supports multiple downstream applications, decisions, or operational processes. Dependency mapping helps governance teams understand how an outage, corrupted output, compromised model, or unavailable service could propagate across the organization. The mapping should include technical dependencies, data flows, external providers, business processes, and critical decision points. Reviewing model accuracy alone does not reveal the full operational impact of a failure. Similarly, removing human oversight or relying solely on annual financial reporting does not provide sufficient visibility. Dependency mapping supports resilience planning, impact analysis, prioritization, recovery strategies, and identification of critical points where additional controls may be necessary.<\/span><\/p>\n

            Question 206. What should an organization maintain for an AI service that is considered critical to business operations?<\/b><\/h3>\n
              \n
            1. <\/b> A documented dependency and continuity strategy<\/span><\/li>\n
            2. <\/b> A policy prohibiting all external providers<\/span><\/li>\n
            3. <\/b> An assumption that the provider will always remain available<\/span><\/li>\n
            4. <\/b> A requirement to replace the service every year<\/span><\/li>\n<\/ol>\n

              Correct Answer: 1. A documented dependency and continuity strategy<\/b><\/p>\n

              Explanation:<\/b><\/p>\n

              Critical AI services should have documented continuity arrangements because their unavailability may affect essential business processes. A dependency and continuity strategy should identify the service, business processes that depend on it, recovery expectations, alternative operating methods, responsible personnel, provider dependencies, and conditions that trigger contingency actions. The organization does not necessarily need to prohibit external providers or replace services annually. Instead, governance should ensure that critical dependencies are understood and managed according to their business impact. Where practical, organizations may also evaluate alternative providers, backup mechanisms, manual procedures, portability, contractual commitments, and recovery testing. These measures reduce the potential impact of unexpected AI service disruption.<\/span><\/p>\n

              Question 207. Why should AI governance include capacity and resource planning?<\/b><\/h3>\n
                \n
              1. <\/b> To guarantee that every AI project receives unlimited funding<\/span><\/li>\n
              2. <\/b> To eliminate the need for risk assessments<\/span><\/li>\n
              3. <\/b> To ensure governance responsibilities can be performed effectively as AI usage grows<\/span><\/li>\n
              4. <\/b> To make all AI systems technically identical<\/span><\/li>\n<\/ol>\n

                Correct Answer: 3. To ensure governance responsibilities can be performed effectively as AI usage grows<\/b><\/p>\n

                Explanation:<\/b><\/p>\n

                AI governance requires appropriate people, expertise, infrastructure, monitoring capability, security resources, and assurance capacity. As the number or complexity of AI systems increases, existing governance teams may become unable to perform reviews, monitoring, incident response, documentation checks, or control testing effectively. Capacity planning helps identify these limitations before they create governance gaps. It does not mean every project should receive unlimited resources. Instead, resources should be aligned with risk, business criticality, regulatory requirements, and expected AI growth. Effective planning can also identify shortages in specialist skills, monitoring tools, audit capacity, and operational support, allowing management to address constraints proactively.<\/span><\/p>\n

                Question 208. Which factor is most important when defining competency requirements for personnel responsible for AI governance?<\/b><\/h3>\n
                  \n
                1. <\/b> Their job title alone<\/span><\/li>\n
                2. <\/b> Their length of employment<\/span><\/li>\n
                3. <\/b> Their familiarity with a single AI vendor<\/span><\/li>\n
                4. <\/b> The knowledge and skills required for their assigned governance responsibilities<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 4. The knowledge and skills required for their assigned governance responsibilities<\/b><\/p>\n

                  Explanation:<\/b><\/p>\n

                  Competency requirements should be based on the actual responsibilities assigned to personnel rather than job titles or tenure. AI governance may require knowledge of risk management, privacy, security, model validation, data governance, regulatory obligations, ethics, procurement, incident management, or technical AI concepts. Different roles will require different competency levels. For example, a board member may need sufficient AI risk literacy to provide oversight, while a model validator may require deeper technical expertise. Defining role-specific competencies allows the organization to identify skill gaps and establish appropriate training or recruitment plans. It also provides a measurable basis for evaluating whether governance responsibilities are being performed by suitably qualified personnel.<\/span><\/p>\n

                  Question 209. How can an organization best evaluate whether AI governance training is effective?<\/b><\/h3>\n
                    \n
                  1. <\/b> By measuring attendance only<\/span><\/li>\n
                  2. <\/b> By evaluating knowledge, behavior, and compliance outcomes after training<\/span><\/li>\n
                  3. <\/b> By requiring employees to watch longer videos<\/span><\/li>\n
                  4. <\/b> By assuming completion means competence<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 2. By evaluating knowledge, behavior, and compliance outcomes after training<\/b><\/p>\n

                    Explanation:<\/b><\/p>\n

                    Training completion demonstrates participation but does not necessarily demonstrate understanding or effective application. Organizations should evaluate training effectiveness using measures such as assessment results, observed behavior, policy compliance, reduction in recurring mistakes, quality of escalation decisions, and performance during practical exercises. For AI governance, employees may need to recognize prohibited uses, protect confidential data, identify unreliable AI outputs, follow approval procedures, and report incidents appropriately. Comparing these outcomes before and after training provides stronger evidence of effectiveness. Periodic reassessment is also useful because AI risks, organizational policies, technologies, and regulatory expectations can change. Effective training measurement should therefore focus on outcomes rather than attendance alone.<\/span><\/p>\n

                    Question 210. What is the main advantage of role-based AI training?<\/b><\/h3>\n
                      \n
                    1. <\/b> It allows every employee to receive exactly the same technical content<\/span><\/li>\n
                    2. <\/b> It removes the need for governance policies<\/span><\/li>\n
                    3. <\/b> It aligns training depth and content with each employee\u2019s AI-related responsibilities<\/span><\/li>\n
                    4. <\/b> It guarantees that employees will never make mistakes<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 3. It aligns training depth and content with each employee\u2019s AI-related responsibilities<\/b><\/p>\n

                      Explanation:<\/b><\/p>\n

                      Role-based training recognizes that different employees interact with AI systems in different ways and therefore face different risks. A general employee may need training on acceptable use, confidentiality, and recognizing unreliable outputs. Developers may require instruction on secure AI development, data handling, testing, and model risks. Managers may need stronger knowledge of approval requirements, risk ownership, and escalation. Auditors and assurance professionals may require training on evidence, control evaluation, and AI-specific risks. Tailoring training to responsibilities makes the material more relevant and supports practical application. It also helps governance leaders identify whether critical roles possess the competencies necessary to perform their assigned responsibilities.<\/span><\/p>\n

                      Question 211. What AI knowledge should senior management and board members generally possess for effective governance?<\/b><\/h3>\n
                        \n
                      1. <\/b> Sufficient AI risk literacy to understand material risks, opportunities, and oversight responsibilities<\/span><\/li>\n
                      2. <\/b> Advanced programming skills for every AI platform<\/span><\/li>\n
                      3. <\/b> Detailed knowledge of every machine-learning algorithm<\/span><\/li>\n
                      4. <\/b> The ability to build production AI models personally<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 1. Sufficient AI risk literacy to understand material risks, opportunities, and oversight responsibilities<\/b><\/p>\n

                        Explanation:<\/b><\/p>\n

                        Senior management and boards do not generally need to become AI engineers, but they require enough AI literacy to provide meaningful oversight. This includes understanding significant AI use cases, major risk categories, accountability structures, regulatory considerations, limitations of AI outputs, material dependencies, and the organization\u2019s risk appetite. Appropriate literacy enables leadership to challenge assumptions, ask relevant questions, understand significant incidents, and evaluate whether management is addressing material risks. Governance becomes weaker when decision-makers lack sufficient understanding to interpret risk information or challenge management assertions. AI literacy should therefore be proportionate to the oversight responsibilities of the role rather than based on an expectation that every leader become technically specialized.<\/span><\/p>\n

                        Question 212. What should occur when an emerging AI risk cannot be adequately addressed using existing governance procedures?<\/b><\/h3>\n
                          \n
                        1. <\/b> The risk should automatically be ignored<\/span><\/li>\n
                        2. <\/b> The AI system should always be permanently terminated<\/span><\/li>\n
                        3. <\/b> Employees should independently decide how to handle it<\/span><\/li>\n
                        4. <\/b> The risk should be escalated through an established governance path for evaluation and action<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 4. The risk should be escalated through an established governance path for evaluation and action<\/b><\/p>\n

                          Explanation:<\/b><\/p>\n

                          Emerging risks may not fit existing control categories or established procedures. In such cases, governance mechanisms should provide a clear escalation path so that the issue can be assessed by appropriately authorized personnel. The evaluation may involve security, privacy, legal, compliance, risk management, technical specialists, business owners, or senior governance committees depending on the issue. Ignoring an unfamiliar risk or allowing individual employees to make uncoordinated decisions can create inconsistent treatment and increase exposure. Permanent termination may also be unnecessary if the risk can be mitigated. A structured escalation process allows the organization to assess uncertainty, determine interim safeguards, assign ownership, and decide whether policies or controls need to be updated.<\/span><\/p>\n

                          Question 213. What is the purpose of horizon scanning within an AI governance program?<\/b><\/h3>\n
                            \n
                          1. <\/b> To identify emerging technologies, threats, regulations, and risk trends that may affect the organization<\/span><\/li>\n
                          2. <\/b> To replace internal control testing<\/span><\/li>\n
                          3. <\/b> To approve every AI procurement automatically<\/span><\/li>\n
                          4. <\/b> To eliminate the need for incident response<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 1. To identify emerging technologies, threats, regulations, and risk trends that may affect the organization<\/b><\/p>\n

                            Explanation:<\/b><\/p>\n

                            Horizon scanning provides a forward-looking view of developments that may affect an organization\u2019s AI risk profile. These developments can include new attack techniques, regulatory requirements, emerging AI capabilities, changes in vendor practices, new privacy expectations, evolving societal concerns, or significant changes in industry standards. The purpose is not to predict every future event but to identify relevant developments early enough for governance leaders to assess their potential implications. Findings from horizon scanning can feed into risk assessments, policy updates, training plans, control improvements, and strategic discussions. It complements existing assurance activities rather than replacing control testing or incident response processes.<\/span><\/p>\n

                            Question 214. How can scenario analysis support AI risk management?<\/b><\/h3>\n
                              \n
                            1. <\/b> By guaranteeing that a particular incident will occur<\/span><\/li>\n
                            2. <\/b> By examining how different plausible AI-related events could affect objectives and controls<\/span><\/li>\n
                            3. <\/b> By removing uncertainty from AI decision-making<\/span><\/li>\n
                            4. <\/b> By replacing all quantitative risk assessments<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 2. By examining how different plausible AI-related events could affect objectives and controls<\/b><\/p>\n

                              Explanation:<\/b><\/p>\n

                              Scenario analysis helps organizations explore plausible situations that could affect AI systems, business objectives, stakeholders, and controls. Scenarios might include a major model failure, sensitive data exposure, provider outage, regulatory change, widespread inaccurate outputs, or compromise of an AI dependency. The objective is not to predict exactly what will happen but to understand potential consequences and evaluate whether existing safeguards are adequate. Scenario analysis can reveal weaknesses in escalation, continuity, communication, monitoring, or decision-making arrangements. It can also help management prioritize investments and prepare response strategies. The results should complement other risk assessment methods rather than replace them entirely.<\/span><\/p>\n

                              Question 215. What is the primary purpose of AI stress testing?<\/b><\/h3>\n
                                \n
                              1. <\/b> To prove that an AI system cannot fail<\/span><\/li>\n
                              2. <\/b> To eliminate the need for monitoring after deployment<\/span><\/li>\n
                              3. <\/b> To evaluate system behavior and organizational resilience under challenging conditions<\/span><\/li>\n
                              4. <\/b> To guarantee regulatory approval<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 3. To evaluate system behavior and organizational resilience under challenging conditions<\/b><\/p>\n

                                Explanation:<\/b><\/p>\n

                                AI stress testing examines how systems and supporting processes perform under unusually demanding or adverse conditions. Depending on the use case, testing may involve extreme workloads, degraded data quality, unusual inputs, provider outages, significant model performance deterioration, or other realistic stress conditions. The purpose is to identify weaknesses before they become operational incidents and to determine whether safeguards, recovery mechanisms, human oversight, and escalation procedures remain effective. Stress testing cannot prove that a system will never fail, nor does it guarantee regulatory approval. Instead, it provides evidence about resilience and helps organizations identify areas where controls, capacity, contingency arrangements, or governance processes should be strengthened.<\/span><\/p>\n

                                Question 216. Why are tabletop exercises valuable for AI incident preparedness?<\/b><\/h3>\n
                                  \n
                                1. <\/b> They replace the need for technical testing<\/span><\/li>\n
                                2. <\/b> They guarantee that incidents will not occur<\/span><\/li>\n
                                3. <\/b> They eliminate the need for documented response procedures<\/span><\/li>\n
                                4. <\/b> They allow stakeholders to practice roles, decisions, communication, and escalation in a simulated incident<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 4. They allow stakeholders to practice roles, decisions, communication, and escalation in a simulated incident<\/b><\/p>\n

                                  Explanation:<\/b><\/p>\n

                                  Tabletop exercises provide a controlled environment in which relevant stakeholders can walk through a simulated AI incident without causing an actual disruption. Participants can practice identifying responsibilities, escalating decisions, evaluating evidence, communicating with stakeholders, protecting affected data, engaging vendors, and determining when business processes should be suspended or restored. These exercises often reveal ambiguities that are difficult to identify from written procedures alone. For example, teams may discover unclear decision rights or missing contact information. Tabletop exercises do not replace technical testing, but they complement it by testing organizational coordination and decision-making. Lessons identified during exercises should be documented and converted into actionable improvements.<\/span><\/p>\n

                                  Question 217. What is a key requirement for effective communication during a significant AI incident?<\/b><\/h3>\n
                                    \n
                                  1. <\/b> Clearly defined communication responsibilities and escalation channels<\/span><\/li>\n
                                  2. <\/b> Allowing every employee to communicate publicly about the incident<\/span><\/li>\n
                                  3. <\/b> Delaying all communication until the incident is completely resolved<\/span><\/li>\n
                                  4. <\/b> Using different uncoordinated messages for each stakeholder<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 1. Clearly defined communication responsibilities and escalation channels<\/b><\/p>\n

                                    Explanation:<\/b><\/p>\n

                                    Significant AI incidents can involve technical, legal, privacy, operational, customer, and reputational considerations. Effective crisis communication requires predefined responsibilities so that authorized personnel know who assesses the incident, who approves external communications, who coordinates with regulators or affected parties, and who communicates internally. Clear escalation channels reduce confusion and help prevent inconsistent messaging. Communication should be timely and accurate, based on verified information, while respecting legal and confidentiality requirements. Allowing everyone to communicate independently can create contradictory statements, while unnecessary delays may increase harm. Organizations should therefore establish communication procedures, stakeholder contact lists, approval paths, and appropriate templates as part of AI incident preparedness.<\/span><\/p>\n

                                    Question 218. When should stakeholder notification requirements for an AI incident be established?<\/b><\/h3>\n
                                      \n
                                    1. <\/b> Only after the incident has ended<\/span><\/li>\n
                                    2. <\/b> During incident planning, based on legal, contractual, regulatory, and business requirements<\/span><\/li>\n
                                    3. <\/b> Only when a customer complains publicly<\/span><\/li>\n
                                    4. <\/b> Only for incidents involving model accuracy<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 2. During incident planning, based on legal, contractual, regulatory, and business requirements<\/b><\/p>\n

                                      Explanation:<\/b><\/p>\n

                                      Stakeholder notification requirements should be understood before an incident occurs because notification decisions may involve strict timing, contractual commitments, privacy obligations, regulatory requirements, and business considerations. Incident plans should identify which events may require notification, who is responsible for determining whether notification is necessary, which stakeholders may need to be contacted, and how approvals are obtained. Requirements can differ depending on the type of incident, affected information, jurisdiction, contractual relationships, and business process. Waiting until an incident has ended may result in missed deadlines or inconsistent decisions. Advance planning enables the organization to respond more consistently and ensures notification decisions are supported by documented requirements.<\/span><\/p>\n

                                      Question 219. Why should AI governance documentation be readily accessible to authorized stakeholders?<\/b><\/h3>\n
                                        \n
                                      1. <\/b> To allow anyone in the organization to modify governance records<\/span><\/li>\n
                                      2. <\/b> To eliminate access controls<\/span><\/li>\n
                                      3. <\/b> To support timely decision-making, accountability, evidence retrieval, and oversight<\/span><\/li>\n
                                      4. <\/b> To reduce the need for governance documentation<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 3. To support timely decision-making, accountability, evidence retrieval, and oversight<\/b><\/p>\n

                                        Explanation:<\/b><\/p>\n

                                        Governance documentation is useful only when authorized stakeholders can locate and use the information when needed. Accessible documentation can include policies, risk assessments, approval records, model documentation, control results, incident records, responsibility assignments, and evidence of remediation. During audits, incidents, regulatory reviews, or governance decisions, timely access to accurate records supports accountability and reduces delays. Accessibility must still be balanced with appropriate confidentiality, integrity, retention, and access controls. The objective is not unrestricted access or the ability for everyone to modify records. Instead, organizations should establish controlled access that allows authorized stakeholders to retrieve reliable evidence efficiently while preserving the integrity and confidentiality of governance information.<\/span><\/p>\n

                                        Question 220. What should be the primary focus of a periodic review of the AI governance program itself?<\/b><\/h3>\n
                                          \n
                                        1. <\/b> Increasing the number of AI systems regardless of risk<\/span><\/li>\n
                                        2. <\/b> Replacing governance policies on a fixed schedule<\/span><\/li>\n
                                        3. <\/b> Measuring whether governance activities are effective and identifying opportunities for improvement<\/span><\/li>\n
                                        4. <\/b> Reducing the amount of governance evidence retained<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 3. Measuring whether governance activities are effective and identifying opportunities for improvement<\/b><\/p>\n

                                          Explanation:<\/b><\/p>\n

                                          A periodic governance program review should determine whether the organization\u2019s governance structure, policies, controls, responsibilities, monitoring activities, training, assurance processes, and reporting mechanisms remain effective and aligned with organizational objectives. The review should consider performance indicators, control findings, incidents, emerging risks, regulatory developments, stakeholder feedback, and changes in AI usage. It should identify weaknesses and improvement opportunities rather than simply replacing policies on a predetermined schedule. Increasing AI adoption is not itself evidence of effective governance, and reducing evidence can weaken accountability. A mature review process converts findings into assigned actions, tracks remediation, and confirms whether improvements have produced the intended governance outcomes.<\/span><\/p>\n

                                           <\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Isaca AAISM Exam Dumps and Practice Test Dumps   Question 201. Which governance activity is most important when an organization acquires another company that operates AI systems? Immediately retire all acquired AI systems Assess the acquired AI systems against the organization\u2019s governance, risk, and compliance requirements Allow the acquired business unit to maintain […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1648,1647],"tags":[],"_links":{"self":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/16863"}],"collection":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/comments?post=16863"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/16863\/revisions"}],"predecessor-version":[{"id":16926,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/16863\/revisions\/16926"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=16863"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=16863"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=16863"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}