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Certifications›AI-900›Objectives›Describe Artificial Intelligence workloads and considerations
Objective 1.0

Describe Artificial Intelligence workloads and considerations

AI-900 Practice Questions

Use this page to practise Describe Artificial Intelligence workloads and considerations questions for this certification. Focus on how the exam tests describe artificial intelligence workloads and considerations in scenario format — understanding the why behind each answer builds more durable knowledge than memorising options.

Full Practice Test →All Objectives

What this objective tests

AI-900 Describe Artificial Intelligence workloads and considerations — Key Topics

Describe Artificial Intelligence workloads and considerations questions on this certification test your ability to deploy and manage describe artificial intelligence workloads and considerations concepts in scenario-based situations.

  • Core Describe Artificial Intelligence workloads and considerations concepts and how they apply in real-world cloud scenarios.
  • How to deploy describe artificial intelligence workloads and considerations correctly and verify the outcome.
  • Troubleshooting describe artificial intelligence workloads and considerations issues by interpreting error output and system state.
  • Cloud best practices and Describe Artificial Intelligence workloads and considerations design trade-offs tested by this certification.

Common exam traps

Where candidates lose marks on Describe Artificial Intelligence workloads and considerations

  • ⚠Selecting the most expensive service when a simpler managed option meets the requirement.
  • ⚠Forgetting that cloud resources must be explicitly secured — defaults are rarely secure.
  • ⚠Choosing a global service fix when the issue is region-specific.
  • ⚠Overlooking cost implications of cross-region data transfer in architecture questions.

AI-900 Describe Artificial Intelligence workloads and considerations — Practice Questions

30 questions from this objective

Question 2easymultiple choice
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A bank is developing an AI system to automatically approve personal loans. To ensure the system does not discriminate against any group of applicants, which Microsoft responsible AI principle should the bank primarily focus on?

Question 3easymultiple choice
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A manufacturing company uses an AI system to predict when machines will need maintenance. The system must work correctly under varying factory floor conditions such as temperature changes and noise levels. Which Microsoft responsible AI principle is most directly focused on ensuring the system performs reliably in these different conditions?

Question 4hardmultiple choice
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A data scientist is training a credit risk model and wants to use Azure Machine Learning's Responsible AI dashboard to identify if the model is biased against a certain demographic group. Which component of the dashboard should they use to evaluate this?

Question 5hardmultiple choice
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A healthcare start-up proposes a fully automated AI system to diagnose patients from medical scans without any human doctor review. They claim the system is 99% accurate. According to Microsoft's responsible AI principles, which principle is most directly violated by removing human oversight from this critical decision-making process?

Question 6easymultiple choice
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A financial services company uses an AI system to recommend personalized investment portfolios. A customer requests an explanation of why a particular investment was recommended. Which Microsoft responsible AI principle is primarily focused on ensuring the company can provide this explanation?

Question 7easymultiple choice
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A healthcare organization is developing an AI system to recommend treatment plans for patients based on their medical history. According to Microsoft's responsible AI principles, which principle is most directly concerned with ensuring that the system protects patients' health data from unauthorized access or misuse?

Question 8hardmultiple choice
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A healthcare clinic uses an AI system to triage patients by urgency. The system consistently assigns lower priority to patients presenting with rare symptoms compared to those with common symptoms, even when the rare symptoms indicate a serious condition. The clinic wants to ensure the system treats all patients equitably. According to Microsoft's Responsible AI principles, which principle is most directly relevant to addressing this disparity?

Question 9hardmultiple choice
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A city government deploys an AI system that automatically detects traffic violations (e.g., running red lights) from traffic camera footage. The system triggers fines without immediate human review. According to Microsoft's responsible AI principles, which principle is most directly concerned with ensuring there is human oversight and that the organization can be held liable for the system's decisions?

Question 10easymultiple choice
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A retail company uses an AI system to predict customer churn based on demographic and behavioral data. The team discovers that the model gives disproportionately higher churn predictions for customers from a particular zip code, even when their behavior is similar to others. Which Microsoft responsible AI principle is most directly relevant to addressing this issue?

Question 11mediummultiple choice
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A global e-commerce company develops a chatbot to assist customers in multiple languages. The chatbot uses text-based responses. To ensure it serves diverse populations fairly, which Microsoft responsible AI principle should they prioritize?

Question 12hardmultiple choice
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A bank deploys an AI system that uses a deep neural network to approve personal loan applications. A customer whose loan was rejected requests a detailed explanation of why the decision was made. The bank's AI team realizes that the model's internal workings are too complex to provide a simple, understandable reason. According to Microsoft's responsible AI principles, which principle is most directly violated by this situation?

Question 13mediummultiple choice
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An e-commerce company deploys an AI-powered robot for warehouse inventory management. The robot uses computer vision to navigate and pick items. In certain lighting conditions, the robot misidentifies empty shelves and attempts to pick items that are not there, causing damage. According to Microsoft's Responsible AI principles, which principle is most directly concerned with ensuring the robot performs correctly and safely under expected conditions?

Question 14mediummultiple choice
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A healthcare research organization publishes an AI system that diagnoses skin conditions from images. In a study, they discover that the model's accuracy is significantly lower for people with darker skin tones compared to those with lighter skin tones. According to Microsoft's Responsible AI principles, which principle most directly requires the organization to disclose this limitation in their documentation?

Question 15hardmultiple choice
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A city deploys an AI system that automatically issues parking fines based on camera images. A citizen disputes a fine, claiming the system misidentified their car. The city cannot provide an explanation of how the system reached its decision because the model is too complex to interpret. Which Microsoft responsible AI principle is most directly violated?

Question 16mediummultiple choice
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A multinational corporation deploys an AI-powered language translation system that performs well for English, Spanish, and French, but has significantly lower accuracy for Swahili and Navajo. The company wants to ensure the system serves all users equitably. Which Microsoft responsible AI principle is most directly relevant to this scenario?

Question 17hardmultiple choice
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A financial company develops an AI system that recommends loan amounts based on historical data. The historical data includes years of discriminatory lending practices against certain minority groups. As a result, the AI system disproportionately denies loans to members of those groups. Which Microsoft responsible AI principle is most directly violated by this scenario?

Question 18easymultiple choice
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A hospital deploys an AI system to predict patient readmission risk using historical health records. To protect patient privacy, the hospital wants to ensure that individual patients cannot be identified from the data used for training. Which responsible AI principle is most directly relevant to this requirement?

Question 19mediummultiple choice
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A company develops an AI system to screen job applications. The system is intended to be used by candidates who may have visual, hearing, or motor impairments. The company wants to ensure that the interface is accessible to all candidates regardless of disability. Which Microsoft responsible AI principle should they prioritize?

Question 20mediummultiple choice
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A company develops an AI-powered virtual assistant for customer service. To ensure the assistant can be used by people with visual impairments, the team integrates screen reader compatibility. Which Microsoft responsible AI principle is most directly addressed by this action?

Question 21easymultiple choice
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An autonomous vehicle company uses an AI system for navigation. During testing, the system performs well in sunny weather but fails in snowy conditions because the training data had very few examples of snowy roads. The company decides to deploy the system anyway, hoping it will learn on the road. Which Microsoft responsible AI principle is most directly violated by this decision?

Question 22hardmultiple choice
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A university deploys an AI model to predict which students are at risk of dropping out. The predictions are used to offer targeted support. Students who may be negatively impacted by this prediction have the right to understand how the model arrived at its decision. Which Microsoft responsible AI principle is most directly relevant?

Question 23easymultiple choice
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A retail company deploys an AI system that analyzes customer purchase history to personalize product recommendations. Without informing customers, the system also uses their names, addresses, and phone numbers to create detailed profiles. A customer advocacy group raises concerns about this practice. Which Microsoft responsible AI principle is most directly violated?

Question 24mediummultiple choice
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A bank deploys an AI system to approve loan applications. The system was trained on historical data that contains systematic biases against certain ethnic groups. Despite awareness of this bias, the bank proceeds with deployment, expecting the system to correct itself over time. Which Microsoft responsible AI principle is most directly violated?

Question 25hardmultiple choice
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A hospital deploys an AI diagnostic system that achieves 95% accuracy overall. However, for patients from a specific minority ethnic group, the accuracy drops to 60%. The hospital decides to continue using the system because the overall accuracy is acceptable. Which Microsoft responsible AI principle is most directly violated by this decision?

Question 26easymultiple choice
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A bank deploys an AI system to automatically approve or reject loan applications. After six months, an audit reveals that the system approves loans at a significantly lower rate for applicants from a specific ethnic group compared to other groups with similar financial profiles. Which Microsoft responsible AI principle is most directly violated by this outcome?

Question 27easymultiple choice
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A development team creates an AI chatbot for a hospital website that answers patient queries. The team scripts the AI to always respond with a disclaimer that it is not a substitute for professional medical advice. Additionally, they include a mechanism for users to report inaccurate responses, which are then reviewed by a human team. Which Microsoft responsible AI principle is most directly being implemented by the reporting and human review mechanism?

Question 28easymultiple choice
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A company deploys an AI system to screen job resumes and rank candidates. The company wants to ensure that candidates can understand how the system arrived at its decisions. Which Microsoft responsible AI principle is most directly addressed by this requirement?

Question 29easymultiple choice
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A university uses an AI system to screen scholarship applications. The system was trained on historical data that mostly awarded scholarships to students from STEM majors. Consequently, the system consistently gives lower scores to equally qualified students from humanities and arts majors. Which Microsoft responsible AI principle is most directly being violated by this outcome?

Question 30hardmultiple choice
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A company develops an AI system to screen job resumes and rank candidates for interviews. The system is trained on historical hiring data that favored candidates from certain well-known universities. The company decides to deploy the system without any adjustments to address this bias. Which Microsoft responsible AI principle is most directly being violated?

Question 31hardmultiple choice
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A company develops an autonomous vehicle AI system. The system was trained exclusively on data from sunny, dry weather conditions. When the vehicles are deployed in a region that experiences frequent snow and fog, the system fails to correctly identify obstacles, leading to safety risks. Which Microsoft responsible AI principle is most directly violated by this deployment?

More Describe Artificial Intelligence workloads and considerations questions available in the full practice test.

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Next objective

Describe fundamental principles of machine learning on Azure

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All AI-900 Objectives

  • 1.Describe Artificial Intelligence workloads and considerations
  • 2.Describe fundamental principles of machine learning on Azure
  • 3.Describe features of computer vision workloads on Azure
  • 4.Describe features of Natural Language Processing workloads on Azure
  • 5.Describe features of generative AI workloads on Azure