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Azure AI-900 NLP Guide

Study Azure AI-900 NLP: key concepts, common traps, and exam decision cues.

This chapter is about language workloads at fundamentals depth. AI-900 is not asking you to build complex language systems. It is asking whether you can identify whether the problem is sentiment, entities, translation, language modeling, or speech, and then choose the matching Azure service family.

Current weight in the study guide

Microsoft currently weights this skill area at 15-20% of the exam.

Work this skill area in order

Lesson Focus
4.1 Text Analysis, Speech, Translation and Language Modeling Learn the core NLP and speech task patterns AI-900 expects.
4.2 Azure AI Language and Speech Service Fit Learn when the answer should be Azure AI Language and when it should be Azure AI Speech.

Fast routing inside this chapter

If the question is really about… Go first to…
identifying the language or speech task 4.1 Text Analysis, Speech, Translation and Language Modeling
choosing the Azure capability family 4.2 Azure AI Language and Speech Service Fit

What strong answers usually do

  • separate text-first workloads from audio-first workloads
  • recognize that translation can show up in both language and speech contexts depending on the input or output
  • treat language modeling as prediction over text, not automatically as a generative-AI platform question
  • avoid picking Speech when the clue is clearly about analyzing written text

In this section

Revised on Sunday, May 10, 2026