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Describe NLP Workloads Features on Azure (15-20%)

This domain contains the following details that you need to learn about:

• Identify the features of basic NLP (Natural Language Processing) Workload Scenarios – The individuals should be able to identify various uses and features of various components, for example, keyphrase extraction, sentiment analysis, entity recognition, translation, language modeling, and speech recognition & synthesis.
• Identify Azure services & tools for Natural Language Processing Workloads – This topic is created to equip you with the ability to identify various capabilities, such as Speech service, Text Analytics service, Translator Text service, and Language Understanding service.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

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In general, AI-900 is a computer-based exam that’s available in English, Chinese, Japanese, Spanish, French, German, and Korean languages. It costs $99 for every attempt and can be scheduled with Certiport or Pearson VUE. Recently, the AI-900 exam curriculum has been updated to reflect the following skills as contained in the official study guide:

• Describing fundamental principles of machine learning on Azure (30-35%);
• Detailing Artificial Intelligence considerations and workloads (15-20%);
• Explaining features of computer vision workloads on Azure (15-20%);
• Designing features of NLP (Natural Language Processing) workloads on Azure (15-20%);
• Defining features of conversational AI workloads on Azure (15-20%).

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