{"id":19219,"date":"2026-09-22T12:20:16","date_gmt":"2026-09-22T12:20:16","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=19219"},"modified":"2026-09-22T12:20:16","modified_gmt":"2026-09-22T12:20:16","slug":"microsoft-gh-900-practice-test-questions-and-exam-dumps-part20-q381-400","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/microsoft-gh-900-practice-test-questions-and-exam-dumps-part20-q381-400\/","title":{"rendered":"Microsoft GH-900 Practice Test Questions and Exam Dumps Part20 Q381-400"},"content":{"rendered":"

View Full <\/b>Microsoft GH-900 Exam Dumps<\/b><\/a> and Practice Test Dumps<\/b><\/h2>\n

 <\/p>\n

Question 381<\/b><\/h3>\n

What is one benefit of AI-assisted content creation?<\/b><\/p>\n

    \n
  1. It can accelerate drafting tasks<\/span><\/li>\n
  2. It removes every review requirement<\/span><\/li>\n
  3. It guarantees factual accuracy<\/span><\/li>\n
  4. It eliminates content planning<\/span><\/li>\n<\/ol>\n

    Correct Answer: 1<\/b><\/p>\n

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

    AI-assisted content creation can help users produce initial drafts, outlines, summaries, descriptions, and other forms of content more quickly. This can reduce the time spent starting routine writing tasks and allow employees to focus more attention on editing, refinement, and strategic work. AI-generated content should still be reviewed because it may contain inaccurate information, inappropriate wording, or missing context. Organizations can establish guidelines for acceptable AI use and determine which types of content require additional approval. AI is therefore best viewed as an assistance capability rather than an automatic replacement for human review.<\/span><\/p>\n

    Question 382<\/b><\/h3>\n

    What does AI-powered personalization attempt to provide?<\/b><\/p>\n

      \n
    1. Identical experiences for every user<\/span><\/li>\n
    2. More relevant user experiences<\/span><\/li>\n
    3. Random content selection<\/span><\/li>\n
    4. Permanent user decisions<\/span><\/li>\n<\/ol>\n

      Correct Answer: 2<\/b><\/p>\n

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

      AI-powered personalization uses relevant information about users, interactions, preferences, or behavior to provide experiences that may be more relevant to individual users. Examples include recommending products, suggesting content, or adapting certain application experiences. Personalization should be designed with privacy and security considerations because it may involve personal information. Organizations should also evaluate whether recommendations are appropriate and whether users understand how their information is being used. Personalization can improve relevance, but it does not guarantee that every recommendation will match a user’s actual preferences or needs.<\/span><\/p>\n

      Question 383<\/b><\/h3>\n

      Which AI capability can extract text from an image?<\/b><\/p>\n

        \n
      1. Speech recognition<\/span><\/li>\n
      2. Predictive forecasting<\/span><\/li>\n
      3. Optical character recognition<\/span><\/li>\n
      4. Sentiment classification<\/span><\/li>\n<\/ol>\n

        Correct Answer: 3<\/b><\/p>\n

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

        Optical character recognition, commonly called OCR, enables systems to identify and extract text from images or scanned documents. OCR can support document-processing scenarios such as extracting information from invoices, forms, receipts, and other records. The quality of recognition can depend on image resolution, text clarity, fonts, layouts, and other characteristics of the source material. Organizations may combine OCR with additional AI capabilities to classify documents or extract specific fields. Important extracted information should be validated when errors could affect financial, operational, legal, or other significant business processes.<\/span><\/p>\n

        Question 384<\/b><\/h3>\n

        Why is AI governance important for organizations?<\/b><\/p>\n

          \n
        1. It eliminates every AI risk<\/span><\/li>\n
        2. It removes human accountability<\/span><\/li>\n
        3. It prevents all system changes<\/span><\/li>\n
        4. It establishes responsible controls and processes<\/span><\/li>\n<\/ol>\n

          Correct Answer: 4<\/b><\/p>\n

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

          AI governance provides organizational structures, policies, controls, and responsibilities for managing AI systems. Governance can address areas such as responsible use, security, privacy, fairness, transparency, accountability, monitoring, and risk management. Effective governance helps organizations establish consistent expectations rather than allowing each AI application to be managed without oversight. Governance does not eliminate every risk, but it provides mechanisms for identifying and addressing risks. The appropriate governance approach depends on the organization’s AI applications, regulatory environment, business objectives, and the potential consequences associated with different AI use cases.<\/span><\/p>\n

          Question 385<\/b><\/h3>\n

          What can AI help automate in a business process?<\/b><\/p>\n

            \n
          1. Repetitive activities<\/span><\/li>\n
          2. Every strategic decision<\/span><\/li>\n
          3. All employee responsibilities<\/span><\/li>\n
          4. Every customer interaction<\/span><\/li>\n<\/ol>\n

            Correct Answer: 1<\/b><\/p>\n

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

            AI can automate repetitive activities that involve predictable patterns or information-processing tasks. Examples include categorizing requests, extracting information, generating routine summaries, and routing cases. Automation can reduce manual effort and improve processing speed, but not every business activity should be automated. Tasks requiring complex judgment, contextual understanding, or significant accountability may require human participation. Organizations should evaluate the process before automating it and establish suitable controls, testing, and monitoring. The objective is to use automation where it provides meaningful value while maintaining appropriate human involvement.<\/span><\/p>\n

            Question 386<\/b><\/h3>\n

            What is an important limitation of generative AI?<\/b><\/p>\n

              \n
            1. It cannot produce any content<\/span><\/li>\n
            2. It can generate inaccurate information<\/span><\/li>\n
            3. It always requires physical hardware<\/span><\/li>\n
            4. It only works with spreadsheets<\/span><\/li>\n<\/ol>\n

              Correct Answer: 2<\/b><\/p>\n

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

              Generative AI can produce inaccurate, incomplete, or misleading information even when the response appears fluent and confident. This is an important limitation because users may incorrectly assume that well-written content is automatically factual. Organizations should establish appropriate review practices for AI-generated material, particularly when the information affects customers, finances, legal obligations, or other important activities. Providing better prompts and relevant context can improve results but cannot completely eliminate errors. Users should verify important claims against reliable information and apply human judgment before taking consequential actions.<\/span><\/p>\n

              Question 387<\/b><\/h3>\n

              Which practice can help protect AI systems from unauthorized access?<\/b><\/p>\n

                \n
              1. Disabling authentication<\/span><\/li>\n
              2. Sharing credentials<\/span><\/li>\n
              3. Applying access controls<\/span><\/li>\n
              4. Publishing private keys<\/span><\/li>\n<\/ol>\n

                Correct Answer: 3<\/b><\/p>\n

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

                Access controls help restrict AI systems and related information to authorized users and applications. Depending on the environment, organizations may use authentication, authorization, role-based permissions, encryption, monitoring, and other security controls. The appropriate controls depend on the sensitivity of the data and the importance of the AI application. Organizations should also regularly review permissions to ensure that access remains appropriate. Security should be considered throughout the AI lifecycle, including development, deployment, operation, maintenance, and retirement.<\/span><\/p>\n

                Question 388<\/b><\/h3>\n

                What is one purpose of evaluating AI outputs?<\/b><\/p>\n

                  \n
                1. To identify errors or limitations<\/span><\/li>\n
                2. To remove all human oversight<\/span><\/li>\n
                3. To guarantee future results<\/span><\/li>\n
                4. To avoid defining requirements<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 1<\/b><\/p>\n

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

                  Evaluating AI outputs helps organizations determine whether the system is performing appropriately for its intended purpose. Evaluation can reveal incorrect results, missing information, unexpected behavior, or limitations that may require additional controls. Different AI applications may require different evaluation methods. For example, a classification system may be evaluated using accuracy-related measures, while a generative system may require assessment of relevance, factuality, and safety. Evaluation should reflect the actual use case and should continue after deployment when changes in data or user behavior could affect performance.<\/span><\/p>\n

                  Question 389<\/b><\/h3>\n

                  What can AI assist with during meetings?<\/b><\/p>\n

                    \n
                  1. Replacing all participants<\/span><\/li>\n
                  2. Generating meeting summaries<\/span><\/li>\n
                  3. Eliminating discussion<\/span><\/li>\n
                  4. Making every decision automatically<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 2<\/b><\/p>\n

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

                    AI can assist with meeting-related activities such as transcription, summarization, action-item identification, and information extraction. A meeting assistant may help participants review important points without manually going through an entire conversation. Generated summaries should still be reviewed because AI may misunderstand speakers, context, technical terminology, or decisions. Organizations should also consider privacy and access requirements when meetings contain confidential information. When used appropriately, AI meeting assistance can reduce administrative work and help participants focus more on discussion and follow-up activities.<\/span><\/p>\n

                    Question 390<\/b><\/h3>\n

                    What should organizations consider before using AI with confidential information?<\/b><\/p>\n

                      \n
                    1. Whether the AI service and configuration provide appropriate protections<\/span><\/li>\n
                    2. Whether all confidentiality requirements can be ignored<\/span><\/li>\n
                    3. Whether information can be publicly shared<\/span><\/li>\n
                    4. Whether access controls should be removed<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 1<\/b><\/p>\n

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

                      Organizations should evaluate how an AI service handles confidential information before using it with sensitive business data. Relevant considerations can include data protection, access controls, privacy, retention, security configuration, contractual requirements, and organizational policies. Users should understand which information they are permitted to provide to an AI system and under what conditions. Confidential information should not be shared simply because an AI tool accepts the input. Organizations should assess the specific service and configuration and establish clear policies so employees understand appropriate data-handling practices.<\/span><\/p>\n

                      Question 391<\/b><\/h3>\n

                      What is one example of AI-supported accessibility?<\/b><\/p>\n

                        \n
                      1. Automatically changing office furniture<\/span><\/li>\n
                      2. Providing speech-to-text assistance<\/span><\/li>\n
                      3. Removing accessibility settings<\/span><\/li>\n
                      4. Disabling alternative input methods<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 2<\/b><\/p>\n

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

                        AI can support accessibility through capabilities such as speech recognition, transcription, image descriptions, language assistance, and other adaptive technologies. Speech-to-text functionality can help users who have difficulty typing or who benefit from spoken communication being converted into written form. Accessibility solutions vary according to user needs and technology capabilities. Organizations should evaluate whether AI-supported accessibility tools provide reliable results for the intended users and environment. Appropriate testing and user feedback can help identify areas where additional functionality or human assistance may be needed.<\/span><\/p>\n

                        Question 392<\/b><\/h3>\n

                        What can AI-powered recommendation systems analyze?<\/b><\/p>\n

                          \n
                        1. User behavior and preferences<\/span><\/li>\n
                        2. Office furniture dimensions<\/span><\/li>\n
                        3. Building construction materials<\/span><\/li>\n
                        4. Employee parking spaces<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 1<\/b><\/p>\n

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

                          Recommendation systems can analyze relevant information such as user behavior, preferences, previous interactions, and item characteristics to generate suggestions. Online stores may recommend products, while media services may suggest videos, music, or other content. The quality of recommendations depends on the information available and the design of the recommendation approach. Organizations should also consider privacy, fairness, transparency, and user expectations when collecting and using behavioral information. Recommendations are suggestions rather than guaranteed choices, and users should retain control over their decisions.<\/span><\/p>\n

                          Question 393<\/b><\/h3>\n

                          What does AI model monitoring help organizations detect?<\/b><\/p>\n

                            \n
                          1. Changes in system performance<\/span><\/li>\n
                          2. Employee vacation plans<\/span><\/li>\n
                          3. Office temperature changes<\/span><\/li>\n
                          4. Printer paper usage<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 1<\/b><\/p>\n

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

                            AI model monitoring helps organizations observe how an AI system performs after deployment. Monitoring can reveal changes in accuracy, unusual behavior, unexpected outputs, data patterns, or other indicators that the system may no longer perform as expected. This is important because real-world conditions can change after a model has been developed. Organizations can establish thresholds and processes for investigating detected issues. Monitoring should be combined with appropriate evaluation and governance so that identified problems can lead to corrective actions, updates, or additional safeguards when necessary.<\/span><\/p>\n

                            Question 394<\/b><\/h3>\n

                            Why can prompt context improve generative AI results?<\/b><\/p>\n

                              \n
                            1. It provides information relevant to the requested task<\/span><\/li>\n
                            2. It guarantees every response is correct<\/span><\/li>\n
                            3. It removes the need for user review<\/span><\/li>\n
                            4. It prevents all model limitations<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 1<\/b><\/p>\n

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

                              Providing relevant context can help a generative AI system better understand the task, audience, requirements, and information needed to produce an appropriate response. For example, a user might specify the purpose of a document, describe its intended audience, and identify the required format. More useful context can reduce ambiguity and make responses more relevant. However, context does not guarantee factual accuracy or eliminate model limitations. Users should still review important results and refine prompts when necessary. Prompt design is one factor among many that influence generative AI output quality.<\/span><\/p>\n

                              Question 395<\/b><\/h3>\n

                              What is a potential benefit of AI-assisted data analysis?<\/b><\/p>\n

                                \n
                              1. It guarantees all conclusions<\/span><\/li>\n
                              2. It can help identify trends<\/span><\/li>\n
                              3. It eliminates data governance<\/span><\/li>\n
                              4. It removes the need for business knowledge<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 2<\/b><\/p>\n

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

                                AI-assisted data analysis can help organizations identify trends, relationships, patterns, and anomalies within large datasets. This can support business activities such as forecasting, customer analysis, operational monitoring, and planning. AI analysis should not automatically be treated as a final business conclusion because models can misinterpret data or miss important context. Human expertise remains valuable for interpreting results and determining appropriate actions. Organizations should also ensure that the data being analyzed is relevant, accurate, and handled according to applicable security, privacy, and governance requirements.<\/span><\/p>\n

                                Question 396<\/b><\/h3>\n

                                Which principle focuses on preventing unjustified bias in AI systems?<\/b><\/p>\n

                                  \n
                                1. Scalability<\/span><\/li>\n
                                2. Fairness<\/span><\/li>\n
                                3. Availability<\/span><\/li>\n
                                4. Portability<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 2<\/b><\/p>\n

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

                                  Fairness is a responsible AI principle focused on reducing unjustified differences in how an AI system performs for different individuals or groups. AI systems can potentially reproduce patterns found in their training data, so organizations should evaluate whether outputs create inappropriate disparities. Fairness must be considered in relation to the specific application, users, and potential consequences. It does not necessarily mean producing identical outcomes for every person. Organizations can use appropriate data practices, testing, monitoring, and governance to identify and address potential fairness concerns throughout the AI lifecycle.<\/span><\/p>\n

                                  Question 397<\/b><\/h3>\n

                                  What should users do before relying on important AI-generated facts?<\/b><\/p>\n

                                    \n
                                  1. Verify them using reliable sources<\/span><\/li>\n
                                  2. Assume the model is always correct<\/span><\/li>\n
                                  3. Remove supporting documentation<\/span><\/li>\n
                                  4. Publish them immediately<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 1<\/b><\/p>\n

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

                                    Important AI-generated facts should be verified against reliable and appropriate sources before they are used for consequential purposes. Generative AI can produce statements that sound credible but contain inaccurate or unsupported information. Verification helps users identify errors and confirm that information is current and relevant. The required level of verification depends on the importance of the information and the potential consequences of an error. Organizations can support this process by defining review procedures and identifying trusted sources that employees should consult when validating AI-generated content.<\/span><\/p>\n

                                    Question 398<\/b><\/h3>\n

                                    What can AI help organizations improve in customer support?<\/b><\/p>\n

                                      \n
                                    1. Response efficiency<\/span><\/li>\n
                                    2. Customer identity secrecy<\/span><\/li>\n
                                    3. Physical office capacity<\/span><\/li>\n
                                    4. Hardware manufacturing<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 1<\/b><\/p>\n

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

                                      AI can help improve customer-support efficiency by assisting with activities such as answering routine questions, classifying cases, summarizing interactions, suggesting responses, and routing requests. These capabilities can reduce repetitive work and help support teams process customer inquiries more quickly. AI should not automatically be assumed to provide the correct response in every situation. Human representatives may need to review or handle complex cases. Organizations should monitor customer outcomes, response quality, and user feedback to determine whether AI assistance is actually improving the support process.<\/span><\/p>\n

                                      Question 399<\/b><\/h3>\n

                                      Why is employee feedback useful when adopting AI tools?<\/b><\/p>\n

                                        \n
                                      1. It can reveal practical workflow issues<\/span><\/li>\n
                                      2. It guarantees immediate adoption<\/span><\/li>\n
                                      3. It eliminates training requirements<\/span><\/li>\n
                                      4. It prevents all technical problems<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 1<\/b><\/p>\n

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

                                        Employee feedback can reveal how an AI tool performs in real working conditions and whether it actually supports the intended workflow. Employees may identify usability problems, inaccurate outputs, missing capabilities, or process changes that were not obvious during initial planning. Feedback can therefore help organizations refine AI implementations and improve user adoption. It should be combined with objective performance measurements and other evaluation methods. Organizations may also use feedback to identify additional training needs, update policies, or determine whether a particular AI capability should be adjusted or replaced.<\/span><\/p>\n

                                        Question 400<\/b><\/h3>\n

                                        What is an important goal of responsible AI adoption?<\/b><\/p>\n

                                          \n
                                        1. Using AI without oversight<\/span><\/li>\n
                                        2. Maximizing automation regardless of risk<\/span><\/li>\n
                                        3. Eliminating human decision-making<\/span><\/li>\n
                                        4. Creating useful AI systems with appropriate safeguards<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 4<\/b><\/p>\n

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

                                          Responsible AI adoption aims to use AI in ways that provide meaningful value while addressing relevant risks and responsibilities. Organizations should consider areas such as fairness, reliability, privacy, security, transparency, accountability, and human oversight. Appropriate safeguards depend on the specific AI application and its potential impact. Responsible adoption does not mean avoiding AI or eliminating automation; instead, it means designing and using AI with suitable controls and realistic expectations. Ongoing evaluation, monitoring, governance, and employee awareness can help organizations maintain responsible AI practices as technologies and business requirements evolve.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Microsoft GH-900 Exam Dumps and Practice Test Dumps   Question 381 What is one benefit of AI-assisted content creation? It can accelerate drafting tasks It removes every review requirement It guarantees factual accuracy It eliminates content planning Correct Answer: 1 Explanation: AI-assisted content creation can help users produce initial drafts, outlines, summaries, descriptions, […]<\/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\/19219"}],"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=19219"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/19219\/revisions"}],"predecessor-version":[{"id":19220,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/19219\/revisions\/19220"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=19219"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=19219"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=19219"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}