AI-900 Practice Question: Describe Artificial Intelligence workloads and considerations

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

• ✗

  Using AI to replace teachers in classrooms with fully automated instruction

  Why it's wrong here

  Replacing teachers with fully automated instruction is wrong because AI in education is designed to augment human educators, not supplant them. Adaptive learning systems and intelligent tutoring tools personalize exercises and handle routine administrative tasks, yet they lack the social-emotional judgment, motivation, and classroom leadership that teachers provide. AI contributes to teaching effectiveness, but fully automated classrooms would eliminate essential human mentoring and differentiated human judgment.

• ✓

  Personalised learning, pronunciation assessment, automated grading, tutoring chatbots, and accessibility tools

  Why this is correct

  This is correct because these are the core AI education use cases: personalized learning platforms use machine learning to adapt content to each learner; pronunciation assessment uses automatic speech recognition to analyze speech patterns and provide feedback; automated grading uses natural language processing to evaluate essays and responses; tutoring chatbots provide conversational practice; and accessibility tools use computer vision and text-to-speech to support diverse learners. Together, these AI capabilities improve learning outcomes and foster inclusion by addressing individual needs and disabilities.

• ✗

  Generating educational certificates automatically when students complete online courses

  Why it's wrong here

  Automatically generating certificates when students complete courses is primarily a rule-based workflow or database operation, such as checking completion records and issuing a document; it may involve minimal AI or no machine learning at all. AI in education focuses on learning effectiveness—how to personalize content, assess comprehension, and support skill development—rather than on administrative certificate issuance. While an AI might trigger or personalize parts of that process, certifying completion is not a defining or meaningful education-AI scenario.

• ✗

  Using AI to monitor student attention levels during online classes via webcam

  Why it's wrong here

  Monitoring attention through webcams is wrong because it relies on continuous surveillance and facial-expression analysis, which raises serious privacy, consent, and bias concerns and can undermine trust in classroom AI. Such emotion-recognition systems are also scientifically unreliable for inferring attention, and Microsoft's responsible AI principles emphasize fairness, reliability, privacy, and transparency—making this an inappropriate, non-mainstream use. Mainstream education AI instead improves learning effectiveness without invasive monitoring.

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