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AI-900: Azure Cognitive Services vs Azure Machine Learning vs Azure Bot Service

Learn the differences between Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service, and how to choose the best one for your AI scenario.


Tradewind Traders has recently migrated to Azure cloud services and management wants to start developing AI solutions. Management requires the development of an app that can understand the content and meaning of images, video, audio, or translate text into a different language. Which Azure services do you think are the most appropriate to use in this scenario?

A. Azure Machine Learning
B. Azure Cognitive Services
C. Azure Bot Service


B. Azure Cognitive Services


Azure Cognitive Services provides pre-built machine learning models that enable applications to see, hear, speak, understand, and even begin to reason.

The correct answer is B. Azure Cognitive Services.

Azure Cognitive Services are cloud-based AI services that help developers build cognitive intelligence into applications without needing direct AI or data science skills or knowledge. They are available through REST APIs and client library SDKs in popular development languages.

Azure Cognitive Services are grouped into several categories, each addressing specific use cases and scenarios. For the scenario of Tradewind Traders, the most relevant categories are:

  • Vision: These services provide image and video recognition capabilities, such as face detection, object identification, text extraction, and content moderation.
  • Speech: These services provide speech capabilities, such as speech-to-text, text-to-speech, speech translation, and speaker recognition.
  • Language: These services provide natural language processing features, such as sentiment analysis, key phrase extraction, language detection, and text translation.

By using Azure Cognitive Services, Tradewind Traders can easily integrate AI features into their app without having to train their own models or write complex code. They can simply call the APIs and pass the input data, such as images, video, audio, or text, and receive the output results, such as labels, captions, transcriptions, translations, or insights.

Azure Machine Learning is a cloud-based platform for building, training, and deploying machine learning models. It is more suitable for scenarios where custom models are required, or where existing models need to be fine-tuned or optimized. Azure Machine Learning requires more data science and coding skills than Azure Cognitive Services.

Azure Bot Service is a cloud-based platform for creating and managing chatbots. It is more suitable for scenarios where conversational interfaces are required, such as customer service, booking, or ordering. Azure Bot Service can leverage Azure Cognitive Services to enhance the bot’s capabilities, such as speech recognition, natural language understanding, or sentiment analysis.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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