Practice set
Microsoft Azure AI Fundamentals AI-900 questions
Question 1easymultiple choice
Full question →A parking management company uses cameras at the entrance and exit of a lot. They need to automatically read the license plate numbers of each car as it enters and exits. Which Azure Computer Vision capability is specifically designed for this task?
Question 2easymultiple choice
Full question →A retail company wants to predict the exact number of units of a product that will be sold next month. They have historical sales data and information about promotions and holidays. The target variable is the number of units sold, which is a continuous value. Which type of machine learning task should they perform?
Question 3easymultiple choice
Full question →A social media company uses an AI system to automatically filter hate speech. After deployment, they discover the system flags posts from a specific ethnic group at a much higher rate than posts from other groups, even when the content is similar. Which Microsoft responsible AI principle is most directly relevant?
Question 4mediummultiple choice
Full question →A city's traffic department wants to predict the number of cars that will cross a particular bridge each day to plan maintenance schedules. The output of the model should be a numerical value representing the estimated traffic count. Which type of machine learning task is this?
Question 5hardmultiple choice
Full question →A bank deploys an AI system that uses a complex deep learning model to approve or reject loan applications. When a loan is rejected, customers demand to know the specific reasons. The bank wants to ensure the AI system operates in a way that allows them to explain its decisions. Which Microsoft responsible AI principle is most directly relevant to this requirement?
Question 6hardmultiple choice
Full question →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 7mediummultiple choice
Full question →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 8mediummultiple choice
Full question →A bank deploys an AI system to approve personal loan applications. After six months, an audit reveals that applicants from certain postal codes receive significantly lower approval rates than applicants from other postal codes, even when their income and credit scores are comparable. Which Microsoft responsible AI principle is most directly violated by this outcome?
Question 9hardmultiple choice
Full question →A bank deploys an AI system to approve personal loans. The system uses a complex deep learning model that produces a decision (approve or reject) without any explanation of why. Loan applicants who are rejected are not given any reason. According to Microsoft's responsible AI principles, which principle is most directly violated by this system?
Question 10easymultiple choice
Full question →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 11easymultiple choice
Full question →A bank is developing an AI system to automatically approve or reject small business loan applications. The bank wants to ensure that the system does not unfairly discriminate against applicants based on their age, gender, or ethnicity. Which Microsoft responsible AI principle should most directly guide the design and evaluation of this system?
Question 12easymultiple choice
Full question →A bank is developing an AI system to automatically approve or reject small personal loans. To ensure the system treats applicants fairly regardless of race, gender, or age, which Microsoft responsible AI principle is most directly relevant?
Question 13easymultiple choice
Full question →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 14hardmultiple choice
Full question →A bank uses a machine learning model to predict credit card fraud. The model's output is a probability score. The business wants to minimize the number of false positives (legitimate transactions incorrectly flagged as fraud) because these cause customer dissatisfaction. At the same time, they must also catch most fraudulent transactions. Which metric should the bank optimize to balance these two goals?
Question 15mediummultiple choice
Full question →A bank uses an AI system to approve loan applications. The bank wants to ensure that applicants can understand why a loan was approved or rejected. Which Microsoft responsible AI principle is most directly relevant to this requirement?
Question 16mediummultiple choice
Full question →A bank uses an AI system to approve or deny personal loan applications. Several customers whose loans were denied have asked for an explanation of why their application was rejected. Which Microsoft responsible AI principle requires the bank to provide understandable reasons for the AI's decision?
Question 17easymultiple choice
Full question →A bank uses an AI system to approve personal loans. Some customers whose loans were denied have asked for an explanation of why their application was rejected. Which Microsoft responsible AI principle requires the bank to provide these explanations?
Question 18mediummultiple choice
Full question →A beverage company uses a camera system to inspect bottles on a conveyor belt. The system must automatically identify which bottles are defective (e.g., cracked or chipped) and which are acceptable, based on the overall appearance of each bottle. The company has thousands of labeled images of bottles (defective and non-defective). Which Azure Computer Vision service should they use to train a custom model?
Question 19mediummultiple choice
Full question →A bike-sharing company wants to predict the number of rentals per hour. Their model's predictions are usually close but occasionally have large errors due to unexpected events like sudden rain. They want a metric that heavily penalizes these large errors to ensure the model is not overly confident. Which evaluation metric should they primarily use?
Question 20hardmultiple choice
Full question →A botanist uses Azure Automated Machine Learning to train a model that classifies iris flowers into three species: setosa, versicolor, and virginica. The dataset contains exactly 50 examples of each species, making it perfectly balanced. The botanist wants the primary metric to give equal importance to the classification performance of each species, regardless of their frequency. Which primary metric should the botanist select in Azure AutoML?
Question 21mediummultiple choice
Full question →A brand monitoring company wants to automatically detect the presence of specific logos (e.g., Apple, Coca-Cola) in social media images. The logos can appear in various orientations and sizes within the image. Which Azure Computer Vision capability is specifically designed to identify popular brands from their logos?
Question 22easymultiple choice
Full question →A building management company develops an AI system that uses temperature and humidity sensors to automatically adjust the HVAC system. They want to ensure that the system does not inadvertently cause uncomfortable temperature swings for occupants. Which Microsoft responsible AI principle is most directly relevant to this requirement?
Question 23mediummultiple choice
Full question →A business analyst wants to quickly summarize the main topics discussed in a large collection of customer feedback emails. The analyst needs to identify recurring concepts such as 'product quality', 'shipping delay', and 'customer service'. They want to use a prebuilt Azure AI Language feature without any custom training. Which feature should they use?
Question 24mediummultiple choice
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