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Microsoft Azure AI Fundamentals (AI-900) practice questions

200 free questions with answers and explanations.

Practice test
  1. 151.A content moderation team needs to quickly identify the primary topics discussed in long user-generated comments without reading each one entirely. Which Azure NLP capability would be most effective for extracting the most important concepts or phrases?Describe features of Natural Language Processing (NLP) workloads on Azure
  2. 152.A city planning department wants to monitor urban development and vegetation growth over time using satellite imagery. They need to generate a precise pixel-level mask for different land cover types (e.g., buildings, roads, trees, water) to accurately calculate area changes. Which computer vision capability is required for this task?Describe features of computer vision workloads on Azure
  3. 153.A researcher is studying wildlife populations and needs to count specific animal species in aerial photographs. The system should not only count the animals but also indicate the general area where each animal is located within the image. Which computer vision capability is most appropriate for this task?Describe features of computer vision workloads on Azure
  4. 154.A call center wants to automatically transcribe customer service calls and then analyze the text for keywords and sentiment. Which two Azure Cognitive Services components would be most appropriate for this solution?Describe features of Natural Language Processing (NLP) workloads on Azure
  5. 155.A manufacturing plant wants to implement a quality control system that automatically inspects finished products for surface defects, such as scratches or dents. The defects are unique to their product line and require very specific visual identification. Which Azure AI Computer Vision tool or service would be most appropriate for training a model to detect these specific defects?Describe features of computer vision workloads on Azure
  6. 156.A research institution is analyzing historical maps to identify and count specific symbols representing landmarks. These symbols are unique to each map series and are not standard icons. Which Azure AI service would be most appropriate for training a model to recognize these custom symbols?Describe features of computer vision workloads on Azure
  7. 157.A multinational corporation needs to provide real-time translation of customer support chat conversations between agents and customers speaking different languages. Which Azure NLP component is best suited for this task?Describe features of Natural Language Processing (NLP) workloads on Azure
  8. 158.A compliance officer needs to monitor internal company documents for specific jargon, project names, and policy terms that are unique to their organization. The standard Named Entity Recognition (NER) models do not adequately identify these custom terms. Which Azure NLP tool allows for the recognition of these organization-specific entities?Describe features of Natural Language Processing (NLP) workloads on Azure
  9. 159.A publishing company wants to convert a vast archive of scanned historical books into editable and searchable digital text. Which Azure AI service or capability is essential for converting the images of text into machine-readable text?Describe features of Natural Language Processing (NLP) workloads on Azure
  10. 160.A logistics company wants to automate the process of identifying and extracting specific data fields, such as invoice numbers, dates, and line items, from a large volume of scanned invoices. The invoices have varying layouts and are not in a standardized template. Which Azure AI service is BEST suited for this task?Describe features of computer vision workloads on Azure
  11. 161.A construction company wants to monitor safety compliance on its sites. They need a system that can automatically identify if workers are wearing hard hats and safety vests in real-time video feeds. Which computer vision capability is best suited for this task?Describe features of computer vision workloads on Azure
  12. 162.A marketing agency needs to analyze customer reviews to understand general public opinion about a new product launch. They want to know if the reviews are predominantly positive, negative, or neutral. Which NLP capability should they utilize?Describe features of Natural Language Processing (NLP) workloads on Azure
  13. 163.A company is developing a virtual assistant that needs to understand and respond to user queries in a natural, conversational manner. The assistant must interpret the user's intent (e.g., 'book a flight', 'check weather') and extract relevant entities (e.g., 'London', 'tomorrow') from their free-form text input. Which Azure AI NLP capability is most appropriate for building the core understanding component of this assistant?Describe features of Natural Language Processing (NLP) workloads on Azure
  14. 164.A content creator wants to generate creative short stories or marketing copy based on a few input keywords or a short prompt. The goal is to produce unique, coherent, and grammatically correct text that expands on the initial input. Which Azure AI NLP capability would be used for this generative task?Describe features of Natural Language Processing (NLP) workloads on Azure
  15. 165.A content moderation platform needs to automatically detect and flag inappropriate or harmful content in user-generated text across multiple languages. The system should identify categories of harmful content (e.g., hate speech, self-harm, sexual content) and provide a confidence score for each detection. Which Azure AI NLP capability, along with Language Detection, is most suitable?Describe features of Natural Language Processing (NLP) workloads on Azure
  16. 166.A company is developing a system to monitor a large industrial facility for security breaches. They need to identify when unauthorized individuals enter specific restricted zones, trigger an alert, and record the event. Which computer vision workload capability is MOST suitable for this scenario?Describe features of computer vision workloads on Azure
  17. 167.A smart city initiative aims to analyze urban traffic flow by understanding the density and movement of vehicles. The system needs to precisely delineate the boundaries of each vehicle (cars, buses, trucks) in real-time video streams, without necessarily distinguishing between individual instances of the same type (e.g., it doesn't need to know 'this is car A' vs 'this is car B', just 'this is a car'). Which computer vision capability is most suitable for this pixel-level understanding of vehicle presence?Describe features of computer vision workloads on Azure
  18. 168.A research team is analyzing a vast archive of historical documents, many of which are handwritten or scanned images of old printed texts. They need to convert these documents into a machine-readable format to enable search and further NLP analysis like Named Entity Recognition. Which Azure AI service component is essential for this initial step?Describe features of Natural Language Processing (NLP) workloads on Azure
  19. 169.A global e-commerce platform needs to automatically detect and redact sensitive customer information, such as credit card numbers and social security numbers, from customer service chat logs before storing them. Which Azure Cognitive Service for Language feature should they use?Describe features of Natural Language Processing (NLP) workloads on Azure
  20. 170.A security company is developing a system to monitor restricted areas. They need to analyze video streams to detect specific types of unauthorized objects, such as drones or unfamiliar vehicles, as they enter the area. The system should also track their movement and alert security personnel. Which combination of computer vision capabilities would be most crucial for this system?Describe features of computer vision workloads on Azure
  21. 171.A company is developing a system to help visually impaired individuals navigate their surroundings. The system needs to provide real-time audio descriptions of objects, people, and environmental features in their immediate vicinity. Which Azure Cognitive Services API is most appropriate for processing the visual input and generating these descriptions?Describe features of computer vision workloads on Azure
  22. 172.A financial institution wants to automate the processing of loan applications. Each application includes various documents like identity proofs, income statements, and bank statements, which often have different layouts but contain standard fields (e.g., 'Name', 'Address', 'Account Number'). Which Azure Cognitive Service is specifically designed to extract structured information from such diverse documents?Describe features of computer vision workloads on Azure
  23. 173.A legal firm needs to process thousands of contracts to identify specific clauses, dates, and parties involved, even if they are phrased uniquely across different documents. The firm has a clear definition of what constitutes a 'clause start', 'party name', or 'effective date'. They need to extract these precisely defined elements. Which Azure AI NLP capability is most effective for this highly specialized information extraction task?Describe features of Natural Language Processing (NLP) workloads on Azure
  24. 174.A customer support department wants to build an AI solution that can automatically generate concise responses to frequently asked questions based on a large knowledge base of existing answers. Which NLP capability would be most beneficial for generating these responses?Describe features of Natural Language Processing (NLP) workloads on Azure
  25. 175.A customer support center transcribes all incoming calls for quality assurance. They need to quickly identify the primary topics of discussion within each call transcript to categorize them, even if the agents and customers use varied phrasing. The goal is to get a high-level understanding of what each call was about without reading the entire transcript. Which Azure AI NLP capability is most suitable for this?Describe features of Natural Language Processing (NLP) workloads on Azure
  26. 176.A global news agency needs to process thousands of articles daily from various sources. They want an automated system to convert articles into a structured format, identifying key events, people, organizations, and locations mentioned, without requiring human review for each article. Which NLP capability should they prioritize?Describe features of Natural Language Processing (NLP) workloads on Azure
  27. 177.A financial services company wants to automate the process of categorizing incoming customer emails as either 'loan application', 'account inquiry', or 'fraud report'. Which Azure NLP capability is best suited for this task?Describe features of Natural Language Processing (NLP) workloads on Azure
  28. 178.A global e-commerce platform receives customer service inquiries in numerous languages. The platform needs to automatically translate these inquiries into English for their support agents and then translate the agents' English responses back into the customer's original language. Which Azure Cognitive Service is primarily responsible for performing these language conversions?Describe features of Natural Language Processing (NLP) workloads on Azure
  29. 179.A multinational company needs to ensure that all internal communications, including emails and chat messages, adhere to specific compliance policies. The system must automatically detect and flag any content that violates these policies, regardless of the language used. Which Azure AI NLP capability is most crucial for this scenario?Describe features of Natural Language Processing (NLP) workloads on Azure
  30. 180.A financial institution is developing a system to automatically process incoming customer support emails. The system needs to identify the sentiment of each email (positive, negative, or neutral) to prioritize responses. Which Azure AI Computer Vision capability would be most appropriate for this task?Describe features of computer vision workloads on Azure
  31. 181.A journalist is reviewing a transcript of a long interview and needs to quickly generate a shorter, coherent version that captures all the main points without losing critical information. Which NLP capability would be most effective for this task?Describe features of Natural Language Processing (NLP) workloads on Azure
  32. 182.A company is developing an application that needs to automatically identify and categorize various objects within images uploaded by users. For example, it should be able to distinguish between a 'car', a 'bicycle', and a 'person' in a photograph. Which computer vision capability is most suitable for this task?Describe features of computer vision workloads on Azure
  33. 183.A developer is building a system to automatically generate short, concise summaries of news articles to display in a mobile app. Which Azure NLP capability is designed for this purpose?Describe features of Natural Language Processing (NLP) workloads on Azure
  34. 184.A researcher is developing a system to quickly find all mentions of specific drug names, disease names, and treatment procedures within a large corpus of medical journal articles. Which Azure NLP capability is most appropriate for identifying these predefined categories of terms?Describe features of Natural Language Processing (NLP) workloads on Azure
  35. 185.A manufacturing plant wants to implement a quality control system that automatically inspects finished products for specific types of defects, such as minor scratches or misaligned labels. These defects are subtle and highly specific to their product line. Which Azure AI service would be the most suitable for training a model to identify these custom defects?Describe features of computer vision workloads on Azure
  36. 186.A company wants to automate the generation of personalized email responses to common customer inquiries received via their contact form. The responses should be coherent, contextually relevant, and sound natural. Which Azure AI NLP capability is most suitable for creating these dynamic and human-like text responses?Describe features of Natural Language Processing (NLP) workloads on Azure
  37. 187.A customer support manager wants to analyze customer feedback from various online channels to understand specific features or aspects of their product that are frequently mentioned with positive or negative sentiment. Which Azure AI NLP capability is BEST suited for this task?Describe features of Natural Language Processing (NLP) workloads on Azure
  38. 188.A developer is creating an application that processes user-generated content from various global sources. Before performing any further NLP tasks, the application needs to automatically determine the language of each text submission to ensure correct processing. Which Azure AI Language capability should be used for this initial step?Describe features of Natural Language Processing (NLP) workloads on Azure
  39. 189.A marketing team wants to analyze a large volume of customer feedback, including surveys and social media posts, to understand the predominant themes and recurrent issues without explicitly defining keywords or categories beforehand. They need an NLP technique that can automatically discover the underlying structure and main subjects discussed. Which NLP capability is best suited for this task?Describe features of Natural Language Processing (NLP) workloads on Azure
  40. 190.A research institution is developing a system to help medical professionals quickly find specific information within a large repository of medical journals and clinical trial reports. The system needs to be able to accept natural language questions, such as "What are the side effects of Drug X for patients over 60?", and return precise answers extracted directly from the documents, rather than just providing links to relevant papers. Which Azure AI NLP capability is MOST appropriate for this scenario?Describe features of Natural Language Processing (NLP) workloads on Azure
  41. 191.A research institution is developing a system to help medical professionals quickly find specific answers within a vast collection of medical journals and clinical trial reports. The system should allow users to ask natural language questions and receive precise, concise answers sourced directly from the documents. Which Azure AI NLP capability is most appropriate for this requirement?Describe features of Natural Language Processing (NLP) workloads on Azure
  42. 192.A multinational e-commerce platform wants to ensure that all product reviews, regardless of the language they are written in, can be understood by their global support team. The system needs to automatically detect the language of each review and then translate it into English for the support agents. Which two Azure AI NLP capabilities should be used in combination to achieve this goal?Describe features of Natural Language Processing (NLP) workloads on Azure
  43. 193.A customer support center transcribes all incoming calls for quality assurance. The management team wants to quickly understand the main subjects and recurring issues discussed across thousands of call transcripts without having to manually read through them. They need to identify high-level themes, not specific keywords or sentiments. Which Azure AI NLP capability would be most effective for this analysis?Describe features of Natural Language Processing (NLP) workloads on Azure
  44. 194.A content moderation team needs to automatically identify and flag user-generated content that contains hate speech, self-harm references, or sexually explicit material across various languages. Which Azure AI NLP capability is specifically designed to address this requirement?Describe features of Natural Language Processing (NLP) workloads on Azure
  45. 195.A global e-commerce company wants to implement a system that automatically translates product descriptions and customer reviews from various languages into the user's preferred language in real-time. Which Azure AI service is specifically designed for this purpose?Describe features of Natural Language Processing (NLP) workloads on Azure
  46. 196.A global technology company receives millions of customer support tickets daily. They want to implement an AI solution that can automatically identify the primary subject or theme of each ticket, such as 'billing inquiry', 'technical support', or 'feature request', without pre-defining specific keywords. Which Azure AI NLP capability is BEST suited for this task?Describe features of Natural Language Processing (NLP) workloads on Azure
  47. 197.A developer needs to integrate a chatbot into an existing customer service portal. The chatbot must be able to understand complex user requests, identify the user's intent (e.g., 'check order status', 'reset password'), and extract specific entities (e.g., 'order number', 'product name') from their natural language input. Which Azure AI service is the primary tool for building this type of natural language interface?Describe features of Natural Language Processing (NLP) workloads on Azure
  48. 198.A content moderation team needs to automatically review user-generated content, including text, images, and videos, to detect and filter out inappropriate or harmful material. Which Azure AI service is designed to provide comprehensive content safety capabilities across different modalities?Describe features of Natural Language Processing (NLP) workloads on Azure
  49. 199.A financial institution needs to analyze thousands of news articles daily to identify all mentions of specific company names, stock tickers, and key executives to track market sentiment and potential risks. The system must be able to accurately extract these specific types of information. Which Azure AI NLP capability is most suitable for this task?Describe features of Natural Language Processing (NLP) workloads on Azure
  50. 200.A developer is building a system to assist legal professionals by automatically identifying and extracting specific legal clauses, contract dates, and party names from scanned PDF documents. Which combination of Azure AI services would be most effective for this scenario?Describe features of Natural Language Processing (NLP) workloads on Azure