Azure AI Fundamentals AI-900 Microsoft Exam Info and Free Practice Test AI-900 Microsoft Exam Info and Free Practice Test Azure AI Fundamentals (AI-900) Azure AI Fundamentals (AI-900) 1 / 20 What is the purpose of Azure Speech-to-Text? Convert spoken words to text Generate images from text Translate text to other languages Generate summaries of text 2 / 20 Which Azure Cognitive Service is used for facial recognition? Text Analytics Face API Translator Text Custom Vision 3 / 20 What is a characteristic of deep learning? Uses shallow architectures Requires labeled and unlabeled data Utilizes neural networks with many layers Focuses only on NLP tasks 4 / 20 What is the role of a neural network in AI? Hosting virtual machines Processing data in layers to identify patterns Managing structured data Encrypting sensitive information 5 / 20 What is a key use case for conversational AI? Managing relational databases Building chatbots Creating web applications Hosting virtual desktops 6 / 20 What does unsupervised learning involve? Training models with labeled data Clustering data without predefined labels Receiving feedback for actions Building conversational agents 7 / 20 Which Azure Cognitive Service helps analyze forms and extract data? Text Analytics Form Recognizer Speech-to-Text Custom Vision 8 / 20 What is the primary use of sentiment analysis in AI? Detecting emotions in text Recognizing speech Extracting numerical data Analyzing audio patterns 9 / 20 What does Azure Custom Vision allow? Recognizing general object categories Training models for specific image categories Translating text Generating human-like conversations 10 / 20 What is a key characteristic of reinforcement learning? Learning from feedback and rewards Requiring large labeled datasets Always deterministic Only used for image recognition 11 / 20 What does responsible AI emphasize? Increasing model complexity Ethical use of AI Reducing model accuracy Replacing human decisions 12 / 20 Which Azure Cognitive Service is best for language translation? Computer Vision Translator Text Form Recognizer Text Analytics 13 / 20 What is the role of Azure Machine Learning? Automating machine learning workflows Hosting databases Building IoT applications Managing Kubernetes clusters 14 / 20 What is a benefit of supervised learning? Does not require labeled data Trains on labeled data Always outperforms other models Does not require training data 15 / 20 Which Azure service provides a no-code interface for AI model creation? Azure Synapse Analytics Azure Machine Learning Azure OpenAI Azure AI Studio 16 / 20 What is an example of computer vision? Translating text Recognizing objects in an image Predicting stock prices Recommending movies 17 / 20 Which Azure service is used for building bots? Azure Machine Learning Azure Bot Service Azure Data Factory Azure Functions 18 / 20 What is a key feature of Natural Language Processing (NLP)? Recognizing patterns in images Understanding and generating human language Managing relational databases Encrypting sensitive data 19 / 20 Which type of AI focuses on systems that can learn and adapt based on data? Narrow AI Machine Learning Rule-Based AI Conversational AI 20 / 20 What is the purpose of Azure Cognitive Services? Manage IoT devices Build AI solutions using prebuilt APIs Host virtual machines Analyze structured data Your score isThe average score is 0% 0% Restart quiz
