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Microsoft Azure AI Fundamentals (AI-900) practice questions

200 free questions with answers and explanations.

Practice test
  1. 101.A team is developing a machine learning model to predict whether a customer will click on an advertisement. They have collected data including customer demographics, past browsing history, and ad features. The output of the model will be a 'yes' or 'no' decision (click or no click). What type of machine learning task is this, and what kind of target variable does it have?Describe fundamental principles of machine learning on Azure
  2. 102.A data scientist is tasked with preparing a dataset for a machine learning model that will predict whether a customer will purchase a product. The dataset contains a feature called 'Customer_Segment' with nominal categorical values such as 'New Customer', 'Loyal Customer', and 'High-Value Customer'. Which data preprocessing technique should the data scientist use to convert this feature into a suitable format for most machine learning algorithms?Describe fundamental principles of machine learning on Azure
  3. 103.A data scientist is preparing a dataset for a machine learning model. The dataset contains a feature named 'ProductCategory' with values like 'Electronics', 'Clothing', 'Home Goods', and 'Books'. To ensure the model can correctly interpret these categorical values without implying any ordinal relationship, which data preprocessing technique should be applied?Describe fundamental principles of machine learning on Azure
  4. 104.A data engineering team is building a machine learning pipeline that needs to efficiently store and manage large volumes of unstructured data, such as images, videos, and sensor readings, for training deep learning models. The solution must be highly scalable and cost-effective. Which Azure storage solution is best suited for this purpose?Describe fundamental principles of machine learning on Azure
  5. 105.A data engineering team is setting up a data pipeline for a machine learning project on Azure. The project involves storing large volumes of unstructured data, such as images, videos, and log files, which will be used for training deep learning models. The data needs to be highly available, durable, and accessible from various Azure services, including Azure Machine Learning workspaces and Azure Databricks. Which Azure storage service is most suitable for this purpose?Describe fundamental principles of machine learning on Azure
  6. 106.A team is developing an AI system for a self-driving car. The system needs to learn how to navigate complex urban environments by making decisions (e.g., accelerate, brake, turn) based on sensor inputs, receiving rewards for safe and efficient driving, and penalties for mistakes. Which machine learning paradigm is most appropriate for this type of problem?Describe fundamental principles of machine learning on Azure
  7. 107.A machine learning engineer needs to prepare a dataset where one of the features, 'City', contains nominal categorical data (e.g., 'New York', 'London', 'Tokyo'). This feature needs to be converted into a numerical format that a machine learning model can process without implying any ordinal relationship between the cities. Which data transformation technique should be applied?Describe fundamental principles of machine learning on Azure
  8. 108.A data scientist is building a model to predict the price of a house based on features such as square footage, number of bedrooms, and location. The model needs to output a continuous numerical value. During the model training phase, the data scientist needs to compare the predicted house prices against the actual house prices to understand the average magnitude of error, regardless of the direction (overestimation or underestimation) of the prediction. Which evaluation metric is most suitable for this purpose?Describe fundamental principles of machine learning on Azure
  9. 109.A financial institution wants to develop a machine learning model to detect fraudulent transactions. The model needs to classify each transaction as either 'fraudulent' or 'legitimate'. Which type of machine learning problem is this?Describe fundamental principles of machine learning on Azure
  10. 110.A machine learning engineer is evaluating a binary classification model for predicting a rare disease. The dataset is highly imbalanced, with only 1% of samples belonging to the positive class (disease present). The model achieves 99% accuracy. However, upon further inspection, it is discovered that the model simply predicts 'no disease' for all cases. What term best describes this model's performance?Describe fundamental principles of machine learning on Azure
  11. 111.A smart city initiative aims to analyze urban traffic flow by understanding the density and movement of vehicles and pedestrians at various intersections. This requires not just identifying objects, but also understanding the specific areas occupied by different classes (e.g., car, pedestrian, bicycle) within an image or video frame. Which computer vision capability is BEST suited for this detailed spatial understanding?Describe features of computer vision workloads on Azure
  12. 112.A company is developing an augmented reality (AR) application for interior design. The application needs to understand the layout of a room in real-time, identifying surfaces like walls, floors, and ceilings, and distinguishing them from furniture. This requires a detailed, pixel-by-pixel understanding of the scene to place virtual objects realistically. Which computer vision capability is most crucial for this level of scene understanding?Describe features of computer vision workloads on Azure
  13. 113.A museum wants to create an interactive exhibit where visitors can scan artwork with their phone camera, and the app will provide information about the artist and the painting. The system needs to accurately identify specific artworks from a predefined collection of thousands of paintings. Which computer vision capability is best suited for this task?Describe features of computer vision workloads on Azure
  14. 114.A researcher is analyzing historical documents written in different languages and needs to determine the primary language of each document before further processing. Which Azure Cognitive Service for Language feature should the researcher use?Describe features of Natural Language Processing (NLP) workloads on Azure
  15. 115.A research institution is analyzing historical documents, some of which are handwritten and others typewritten. They need a computer vision tool that can read and extract text from both types of documents, even if the handwriting is messy or the typewritten text is faded. Which Azure AI Computer Vision tool is specifically designed for this advanced text extraction?Describe features of computer vision workloads on Azure
  16. 116.A legal firm needs to process thousands of legal documents to extract specific clauses, dates, and party names that are unique to their domain and not typically found in general NLP models. Which Azure Cognitive Service for Language feature allows them to train a model to recognize these highly specialized entities?Describe features of Natural Language Processing (NLP) workloads on Azure
  17. 117.A retail company wants to analyze customer behavior in its stores. They plan to install cameras and use computer vision to identify the approximate age ranges and gender of customers entering specific departments, without identifying individuals. Which Azure AI Computer Vision capability should they use?Describe features of computer vision workloads on Azure
  18. 118.A developer is creating an augmented reality (AR) application for interior design. The application needs to precisely measure the dimensions of rooms and furniture, and accurately place virtual objects (like new furniture) within the real-world scene, respecting real-world scale and depth. Which computer vision capability is fundamental for enabling this accurate spatial interaction?Describe features of computer vision workloads on Azure
  19. 119.A media monitoring company needs to track news articles and social media posts related to specific events or companies. They require a system that can automatically identify and extract all mentions of a particular entity (e.g., 'Microsoft', 'Olympic Games', 'COVID-19 pandemic') from large volumes of text, regardless of how it's phrased. Which Azure AI NLP capability is primarily used for this task?Describe features of Natural Language Processing (NLP) workloads on Azure
  20. 120.A smart factory is implementing a system to detect anomalies in product packaging. The system needs to identify if a package is damaged, torn, or improperly sealed. These defects can appear anywhere on the package and vary in shape and size. Which computer vision capability would be most effective for this task?Describe features of computer vision workloads on Azure
  21. 121.A developer is planning to build an augmented reality (AR) application for interior design. The application needs to correctly place virtual furniture into a real-world room by understanding the room's surfaces (floor, walls, ceiling) and their spatial orientation. Which Azure AI Computer Vision capability is most relevant for enabling the AR application to understand the 3D environment?Describe features of computer vision workloads on Azure
  22. 122.A customer service department wants to analyze frequently asked questions (FAQs) and customer support tickets to identify common issues and group similar inquiries together without pre-defining categories. Which Azure AI NLP capability is best suited for this task?Describe features of Natural Language Processing (NLP) workloads on Azure
  23. 123.A retail chain wants to understand customer demographics and sentiment in their stores without identifying specific individuals. They plan to use cameras to analyze aggregate data on age groups, gender distribution, and general emotional states of customers. Which computer vision capability is BEST suited for this type of anonymous group analysis?Describe features of computer vision workloads on Azure
  24. 124.A retail company wants to analyze customer traffic patterns within its stores by tracking the movement of shoppers. The solution needs to identify individual customers as they walk through different departments without necessarily identifying their personal details. Which computer vision capability should be used to achieve this goal?Describe features of computer vision workloads on Azure
  25. 125.A smart factory is implementing a system to detect anomalies in product packaging on an assembly line. The system needs to precisely identify areas of damage, such as tears, dents, or incorrect labeling, by highlighting the exact pixel regions affected. This requires a highly detailed understanding of the image content. Which computer vision capability is BEST suited for this level of precision?Describe features of computer vision workloads on Azure
  26. 126.A smart city initiative is planning to improve urban planning by analyzing the exact boundaries of different land cover types (e.g., buildings, roads, vegetation, water bodies) from satellite imagery. This analysis requires identifying each pixel in the image and assigning it to a specific category. Which computer vision workload capability is BEST suited for this task?Describe features of computer vision workloads on Azure
  27. 127.A global online forum needs to automatically translate user posts into the reader's preferred language in real-time. The translation must be accurate and maintain the original meaning, even for less common languages. Which Azure AI service is specifically designed for this real-time, multilingual translation task?Describe features of Natural Language Processing (NLP) workloads on Azure
  28. 128.A developer is creating a mobile application that allows users to quickly identify famous landmarks by simply pointing their phone camera at them. The application needs to return relevant information about the detected landmark. Which Azure AI service provides pre-trained models capable of recognizing a broad range of common objects and landmarks?Describe features of computer vision workloads on Azure
  29. 129.A customer support center wants to build a chatbot that can understand customer queries like 'I need to check my balance' or 'How do I reset my password' and route them to the correct department or provide an automated response. Which Azure NLP component is primarily used to interpret the user's intent and extract relevant entities?Describe features of Natural Language Processing (NLP) workloads on Azure
  30. 130.A school district wants to create a system that can automatically answer common questions from parents and students based on their extensive knowledge base of school policies, FAQs, and handbooks. The system needs to provide direct, concise answers to specific questions posed in natural language. Which Azure AI NLP capability is most suitable for this purpose?Describe features of Natural Language Processing (NLP) workloads on Azure
  31. 131.A security company is developing a system to monitor restricted areas. They need to analyze video feeds to detect and track individuals who enter these zones, identifying their movement patterns over time. Which two computer vision capabilities are essential for this scenario?Describe features of computer vision workloads on Azure
  32. 132.A construction company wants to monitor worker safety on job sites. They need a computer vision system that can identify if workers are wearing appropriate personal protective equipment (PPE) like hard hats and safety vests. The system should be able to locate each piece of PPE on individual workers in real-time video feeds. Which computer vision capability is required for this task?Describe features of computer vision workloads on Azure
  33. 133.A developer is creating a mobile application that allows users to quickly identify famous landmarks by simply pointing their phone camera at them. The application needs to return the name of the landmark (e.g., 'Eiffel Tower', 'Statue of Liberty'). Which computer vision capability is most appropriate for this task?Describe features of computer vision workloads on Azure
  34. 134.A research institution is developing a system to help medical professionals quickly find specific information within vast amounts of medical literature. They need to extract precise answers to natural language questions, such as 'What are the side effects of Drug X?' Which NLP capability is best suited for this requirement?Describe features of Natural Language Processing (NLP) workloads on Azure
  35. 135.A financial news aggregator needs to process a continuous stream of articles to identify and group together all articles that discuss the same major financial event, even if they use different wording. Which NLP capability is most suitable for this task?Describe features of Natural Language Processing (NLP) workloads on Azure
  36. 136.A construction company wants to monitor worker safety on job sites. They need a computer vision system that can identify if workers are wearing hard hats and safety vests in real-time video feeds. Which common computer vision workload capability should they use?Describe features of computer vision workloads on Azure
  37. 137.A logistics company wants to automate the process of reading shipping labels from packages as they move along a conveyor belt. The labels contain alphanumeric tracking codes and destination addresses. Which computer vision capability is essential for this task?Describe features of computer vision workloads on Azure
  38. 138.A company is developing a system to help visually impaired individuals navigate their surroundings by providing real-time audio descriptions of what's in front of them. This requires the AI service to interpret the entire visual scene and generate a natural language sentence describing its content. Which Azure AI service provides this specific capability?Describe features of computer vision workloads on Azure
  39. 139.A researcher is studying wildlife populations and needs to count specific animal species in aerial photographs. The task requires not only identifying the species (e.g., 'deer', 'bear') but also drawing a bounding box around each individual animal to get an accurate count and location. Which type of computer vision model should the researcher build or utilize?Describe features of computer vision workloads on Azure
  40. 140.A marketing team wants to analyze customer feedback from various online sources to understand if the overall sentiment towards their new product launch is positive, negative, or neutral. They also need to identify the main topics or features customers are discussing. Which two Azure Cognitive Service for Language features should they utilize?Describe features of Natural Language Processing (NLP) workloads on Azure
  41. 141.A company is developing an application that helps visually impaired individuals navigate their surroundings by providing real-time audio descriptions of what's in front of them. This requires the AI service to interpret the entire visual scene and generate a natural language sentence describing its content. Which computer vision capability is essential for this functionality?Describe features of computer vision workloads on Azure
  42. 142.A startup is developing an application that helps visually impaired users understand their surroundings. The application needs to describe the content of an image in natural language, for example, 'A young woman holding a cup of coffee at a cafe.' Which Azure AI Computer Vision capability would be most suitable?Describe features of computer vision workloads on Azure
  43. 143.A logistics company wants to automate the process of sorting packages based on their destination. Each package has a unique barcode label that needs to be read by a camera system. Which Azure AI Computer Vision capability would be most effective for extracting the text information from these barcode labels?Describe features of computer vision workloads on Azure
  44. 144.A quality control department in a manufacturing plant needs to automatically inspect finished products for specific defects, such as scratches or misaligned components, which are unique to their product line. The defects are subtle and require highly specific identification. Which Azure AI service is the most effective tool for developing this specialized inspection system?Describe features of computer vision workloads on Azure
  45. 145.A quality control department in a manufacturing plant needs to automatically inspect finished products for specific defects that are unique to their product line. The defects are subtle and vary in appearance. Which Azure computer vision tool should they use to train a custom model to identify these defects?Describe features of computer vision workloads on Azure
  46. 146.An art gallery wants to create an interactive exhibit where visitors can learn about the artists by having their faces scanned. The system needs to recognize if a visitor is a known artist (whose images are stored in a database) and retrieve their biography. Which computer vision capability is required for this specific identification task?Describe features of computer vision workloads on Azure
  47. 147.A content platform receives thousands of user-submitted articles daily. To quickly determine if an article's content aligns with its stated category (e.g., a 'Sports' article truly discusses sports), the platform needs to automatically assign predefined categories to each new article. Which NLP capability is best suited for this automated categorization?Describe features of Natural Language Processing (NLP) workloads on Azure
  48. 148.A global tech company wants to ensure that all internal communications, regardless of the original language, adhere to company policy and do not contain sensitive or inappropriate content. Which combination of NLP capabilities would be most effective for this task?Describe features of Natural Language Processing (NLP) workloads on Azure
  49. 149.A company wants to develop a chatbot for its internal IT support. The chatbot needs to understand user requests like 'I need to reset my password' or 'My printer isn't working' and identify the user's intent (e.g., 'PasswordReset', 'PrinterTroubleshoot') and relevant entities (e.g., 'password', 'printer'). Which Azure Cognitive Service for Language component is designed for this purpose?Describe features of Natural Language Processing (NLP) workloads on Azure
  50. 150.An e-commerce company wants to improve its product recommendation system by understanding the nuances of customer reviews. They need to identify not just the overall positive or negative sentiment, but also which specific aspects of a product (e.g., 'battery life', 'camera quality', 'customer support') are being discussed positively or negatively. Which Azure AI NLP capability is best suited for this detailed analysis?Describe features of Natural Language Processing (NLP) workloads on Azure