Natural Language Processing with Azure Flashcards
Microsoft Azure AI Fundamentals AI-900 Flashcards
| Front | Back |
| How can you create chatbots with minimal coding knowledge? | Use Power Virtual Agents to design bots via a graphical interface |
| How do you perform text translation in Azure? | Use Translator Text for translating documents or real-time text |
| What are Azure Cognitive Services? | Cloud-based AI services for NLP and more |
| What does Azure Text Analytics do? | Provides sentiment detection key phrase extraction and language detection |
| What is Azure Bot Service used for? | Building and managing conversational AI experiences |
| What is Language Understanding LUIS? | Enables apps to interpret user intents and extract entities from text |
| What is QnA Maker in Azure? | Transforms structured or unstructured data into a knowledge base for chatbots |
| What is Text Analytics for Health? | Specialized feature for extracting clinical and biomedical entities from text |
| Which service can train and deploy custom NLP models? | Azure Machine Learning orchestrates end-to-end machine learning workflows |
| Which tool helps build and deploy NLP models in one place? | Language Studio offers a unified interface for model creation |
About the Flashcards
Flashcards for the Microsoft Azure AI Fundamentals exam give you a quick-scan way to remember how Azure applies artificial intelligence to natural language scenarios. Each card explains what a specific service does, from core Cognitive Services endpoints to specialized health text extraction, so you can recall features and ideal workloads under pressure.
You'll review exactly the terminology Microsoft expects, such as Text Analytics sentiment scoring, Language Understanding intents and entities, and Bot Service deployment paths. The deck also touches on Translator usage, Power Virtual Agents no-code bot design, QnA Maker knowledge bases, and how Azure Machine Learning hosts custom NLP models-reinforcing concepts that appear across the exam's objective domains.
Topics covered in this flashcard deck:
- Azure Cognitive Services
- Text Analytics features
- LUIS intent modeling
- Bot and chatbot tools
- Translation & language detection
- Custom NLP with AML