What this domain covers
This domain groups 1 objectives: Identify common NLP scenarios and the Azure services that support them. Official range: 15-20%..
AI-900 domain
Describe features of Natural Language Processing (NLP) workloads on Azure
Study the Describe features of Natural Language Processing (NLP) workloads on Azure blueprint area in the context of Skills measured as of May 2, 2025.CertificationAI-900
ProviderMicrosoft
Blueprint weight19%
Exam standardSkills measured as of May 2, 2025
Why this domain matters
The Describe features of Natural Language Processing (NLP) workloads on Azure domain represents a distinct part of the AI-900 role blueprint. It should be understood in relation to the other domains because exam scenarios can require knowledge from more than one area.
How to prepare
Begin with the objective statements below, review each listed subtopic in the provider material, and practice applying the concepts to realistic decisions. Track uncertain answers as well as incorrect ones before moving into timed simulation.
- Identify features and uses for key phrase extraction.
- Identify features and uses for entity recognition.
- Identify features and uses for sentiment analysis.
- Identify features and uses for language modeling.
- Identify features and uses for speech recognition and synthesis.
- Identify features and uses for translation.
- Describe capabilities of the Azure AI Language service.
- Describe capabilities of the Azure AI Speech service.
Identify common NLP scenarios and the Azure services that support them. Official range: 15-20%.
Prepare to work with Identify features and uses for key phrase extraction.; Identify features and uses for entity recognition.; Identify features and uses for sentiment analysis.; Identify features and uses for language modeling.; Identify features and uses for speech recognition and synthesis.; Identify features and uses for translation.; Describe capabilities of the Azure AI Language service.; Describe capabilities of the Azure AI Speech service..
Continue through the full blueprint.
Review every domain before moving from targeted practice into timed simulation.