Microsoft Azure AI Fundamentals AI-900

Why is a bot answering employee queries an example of an NLP workload? Ace your AI-900 exam by understanding why a bot that responds to employee queries is a prime example of a natural language processing (NLP) workload. Learn how NLP enables bots to interpret and answer user questions, a core concept in Azure’s AI …

Why is a query-responding bot a classic example of a conversational AI workload? Prepare for the AI-900 exam by understanding the fundamentals of conversational AI. Learn why a bot that responds to user queries is the definitive example of a conversational AI workload and discover the key technologies, like NLP and dialogue management, that make …

Why can’t a chatbot automate responses on external review sites? Prepare for your AI-900 exam by understanding the practical limitations of chatbots. Learn why a chatbot, such as one built with Azure Bot Service, cannot typically automate responses to customer reviews on external websites due to platform integration and API restrictions. Question A flower shop …

Why is a smart home device answering questions a key example of conversational AI? Prepare for the AI-900 exam by understanding why a smart home device responding to user questions is a prime example of conversational AI. This explanation breaks down the key components, including natural language processing and dialogue management, that enable these devices …

Why is fairness, not reliability, the key responsible AI principle for a triage bot? Prepare for the AI-900 exam by understanding Microsoft’s responsible AI principles. Learn why a triage bot prioritizing healthcare claims is a primary example of fairness, not reliability and safety, and see how to differentiate these critical concepts for building ethical AI …

How do you use Azure Bot Service to create an interactive website chat feature? Discover for your AI-900 certification why Azure Bot Service is the correct solution for implementing an interactive chat feature on a website. Learn about the Web Chat channel and how it enables the seamless integration of conversational AI bots into any …

Why is natural language processing the key to chatbot weather queries? Get a clear explanation for the AI-900 exam on why natural language processing (NLP) is the correct workload for interpreting a user’s question to a chatbot about a weather report. Learn how NLP allows the chatbot to understand intent and entities, and why this …

Does Azure AI Custom Vision require you to provide training data? Prepare for the AI-900 exam by understanding Azure AI Custom Vision’s training requirements. Learn why this service requires users to provide their own labeled data to create custom image classification and object detection models, and how this differs from pre-built AI services. Question The …

Can Azure AI Custom Vision be used for object detection? Prepare for the AI-900 exam by learning how the Azure AI Custom Vision service is used to build and train custom object detection models. Understand the process of labeling images, training a model, and using it to locate specific objects within an image. Question The …

What is semantic segmentation and why is it used for pixel-level classification? Prepare for the AI-900 exam with a clear explanation of semantic segmentation. Learn how this computer vision task classifies every pixel in an image into specific categories and understand its key differences from image classification, object detection, and instance segmentation in Azure AI. …

Why is regression used to predict car MPG in machine learning? Master AI-900 concepts by learning why regression is the correct machine learning model for predicting a car’s miles per gallon (MPG). Understand how this supervised learning technique uses quantifiable factors like weight and engine power to forecast a continuous numerical value, and see how …

Does Azure AI Bot Service enable conversational customer engagement? Master the AI-900 exam by understanding Azure AI Bot Service’s core functionality for conversational AI. Learn how this service enables businesses to create interactive chatbots that engage customers through natural dialogue across multiple communication channels. Question Azure AI Bot Service engages with customers in a conversational …

Can Azure AI Bot Service directly import FAQs to question and answer sets? Prepare for the AI-900 exam by understanding the distinction between Azure AI Bot Service and QnA Maker for FAQ functionality. Learn why Bot Service cannot directly import FAQs and which service is responsible for creating question and answer knowledge bases from FAQ …

Can Azure AI Bot Service integrate with Azure Cognitive Services? Prepare for the AI-900 exam by understanding the integration capabilities between Azure AI Bot Service and Azure Cognitive Services. Learn how these services combine to create intelligent chatbots with natural language processing, speech recognition, and other AI capabilities. Question Azure AI Bot Service and Azure …

Which Azure AI feature transforms unstructured data into searchable insights? Master the AI-900 exam by understanding Azure’s knowledge mining capabilities. Learn how this AI feature processes vast amounts of unstructured data to extract insights, discover hidden relationships, and create searchable content from documents, images, and other data sources. Question Which Azure AI feature enables organizations …

Which machine learning model groups data based on measurements? Prepare for the AI-900 exam by learning which AI workload type to use for grouping similar data points. Understand why machine learning clustering is the correct solution for grouping plants based on measurements and how it differs from other AI workloads like NLP and anomaly detection. …

Why is generative AI the best solution for generating image captions? Prepare for the AI-900 exam by understanding why generative AI is the correct solution for generating a caption from an image. Learn how computer vision and generative models combine for this multi-modal task, and why text analytics is incorrect. Question Which AI solution matches …

Why is generative AI the correct solution for summarizing articles? Prepare for the AI-900 exam by understanding why generative AI is the right solution for summarizing long articles. This explanation covers how generative AI creates summaries and why text analytics and data mining are incorrect answers for this task. Question Which AI solution matches the …

Which responsible AI principle requires explainable loan decisions? Prepare for your AI-900 exam by learning which Microsoft guiding principle for responsible AI demands that decisions, like loan approvals, must be explainable. Understand the role of transparency and how it differs from fairness, inclusiveness, and privacy in building trustworthy AI systems. Question When an AI system …

Can the Azure AI Language service identify text language? Master the AI-900 exam by understanding how the Azure AI Language service correctly identifies the language of written text. Learn about the language detection feature, its capabilities with multilingual documents, and why it’s a core component of natural language processing in Azure. Question The Azure AI …

Can Azure AI Language service detect handwritten signatures? Prepare for the AI-900 exam by understanding which Azure AI service handles visual tasks like handwritten signature detection. Learn why Azure AI Language focuses on text analysis while Azure AI Vision handles image recognition tasks including signature detection. Question The Azure AI Language service can detect handwritten …

Why is generating the correct LLM process for creating bulleted lists? Get ready for the AI-900 exam by learning why generating is the correct Azure OpenAI large language model (LLM) process for creating a bulleted list from text input. Understand the important distinction between generating and summarizing for tasks that involve restructuring content. Question Which …

How does the generating process in Azure OpenAI create marketing slogans? Learn why generating is the correct Azure OpenAI large language model (LLM) process for creating marketing slogans. Prepare for the AI-900 exam by understanding the difference between generating, translating, classifying, and summarizing content for generative AI tasks. Question Which of the following Azure OpenAI …

Which Azure AI Language feature extracts names and dates from social media? Prepare for the AI-900 exam by learning which Azure AI Language feature is used to retrieve specific data like dates and people’s names from social media posts. Discover how entity recognition works and why it’s the correct tool for extracting structured information from …

Which NLP entity type uses labeled data to identify complex entities? Get ready for your AI-900 exam with a detailed look at Azure AI’s natural language processing (NLP) entities. Understand why a machine-learned entity is the correct type for identifying complex, context-dependent information like names and addresses by using labeled training data. Question Which type …

Which Azure NLP entity type identifies phone numbers using predefined patterns? Learn about Azure AI Language entity types for the AI-900 exam. Understand why Pattern.any is the correct entity type for identifying phone numbers based on predefined patterns like digit sequences, and how it differs from machine-learned, prebuilt, and regular expression entities. Question Which type …

Which machine learning type predicts binary outcomes like course completion? Master the AI-900 exam by understanding which machine learning type predicts binary outcomes like whether a student will complete a university course. Learn why classification is the right answer and how it differs from regression, clustering, and translating for prediction tasks. Question Which type of …

Which machine learning model should you use to predict product sales? Prepare for the AI-900 exam by learning which AI workload is used to predict numerical values like product sales. Understand why machine learning regression is the correct answer and how it differs from anomaly detection, Azure AI Vision, and natural language processing for forecasting …

What AI workload is used to identify handwritten words in Azure? Get a clear explanation for the AI-900 exam on why Azure AI Vision is the correct AI workload for identifying handwritten words. Understand the role of Optical Character Recognition (OCR) and why Natural Language Processing and Machine Learning Regression are incorrect. Question Which type …

Which responsible AI principle governs access to personal data? Prepare for your AI-900 exam by learning which responsible AI principle mandates that personal data is visible only to approved users. Understand the definition of the privacy and security principle and how it differs from transparency, fairness, and reliability in Microsoft’s AI framework. Question Which principle …

Which responsible AI principle requires recording automated decisions? Gain a clear understanding of Microsoft’s responsible AI principles for the AI-900 certification exam. Learn why transparency is the key principle that requires automated decision processes to be recorded, allowing users to identify why a specific decision was made. Question Which principle of responsible AI matches the …

Why is classifying the right Azure OpenAI process for genre detection? Prepare for the Azure AI-900 exam by understanding how Azure OpenAI’s large language models (LLMs) perform specific tasks. Learn why classifying is the correct process for detecting the genre of a literary work and how it differs from translating, generating, and summarizing text. Question …

Can you use your own data to fine-tune Azure OpenAI models? Learn if you can fine-tune Azure OpenAI models using your own custom data. Get a detailed explanation for the AI-900 exam on which models support fine-tuning, the process involved, and the benefits of creating a customized AI model in the Azure environment. Question You …

Learn how to calculate recall for Azure AI-900 certification. Understand chatbot performance metrics like recall with a detailed explanation and example. Question You are evaluating the performance of your customer service chatbot developed with Azure Al’s Conversational Language Understanding. In a recent test, the chatbot correctly identified 90 refund-related queries out of 100 total refund-related …

Learn which machine learning system uses bounding box coordinates to form rectangles around a person’s features. Understand the role of face detection in AI systems. Question Which of the following machine learning systems returns bounding box coordinates that form a rectangle around a person’s features? A. Head-pose estimation B. Image segmentation C. Face detection D. …

Learn what grounding means in generative AI models, why it ensures accurate outputs based on real-world data, and how it differs from prompting and attention mechanisms. Question You are working with a generative Al model to ensure that its outputs are relevant and accurate based on real-world data. To achieve this, you decide to provide …

Learn how to align with Responsible AI principles in generative AI development. Understand why conducting regular bias assessments is crucial to ensure ethical and non-discriminatory AI systems. Question You are part of a team developing a generative Al model for a social media platform that can create personalized content for users. To ensure the responsible …

Discover the correct Azure AI capability to translate spoken French into English text for the Microsoft Azure AI Fundamentals AI-900 exam. Learn why “Speech-to-text translation” is the right answer. Question You are working at a bank and need to build an application that captures spoken French and translates it into English text in a document. …

Learn why Azure AI Custom Vision with object detection capabilities is the ideal service for analyzing drone footage to classify and locate animal species in wildlife conservation efforts. Question A wildlife conservation wants to leverage Azure Al to analyze drone footage and identify various animal species within a national park. They need not only to …

Learn what an image description contains in Microsoft Azure AI Vision for the AI-900 certification exam. Understand how confidence scores and descriptive phrases work together. Question You are working on building an Al application that will analyze your users’ images. You want to get back an image description with each image. Which of the following …

Ace the Azure AI-900 exam! Understand R-squared scores, their interpretation in regression models, and identify the best value for optimal model performance. Question Which of the following is the best R-squared score? A. 0.8 B. 0.57 C. 0.18 D. 1.2 Answer A. 0.8 Explanation R-squared, also known as the coefficient of determination, is a statistical …

Learn the difference between labels and features in regression scenarios for the Microsoft Azure AI-900 exam. Discover how to identify labels and features in regression models for the AI-900 exam. Master essential machine learning principles with this guide. Question You are designing a regression model to predict sales of cakes based on the time of …