AI-102 | Microsoft Azure | Azure AI Solution | Practice Exam

Skills Covered

1. Plan and Manage Azure AI Solutions (15–20%)

   • Select appropriate Azure AI services for computer vision, NLP, speech, generative AI, document intelligence, and knowledge mining.

   • Plan, create, and deploy Azure AI resources, ensuring compliance with Responsible AI principles.

   • Integrate Azure AI services into CI/CD pipelines and container deployments.

   • Manage, monitor, and secure Azure AI services, including diagnostic logging, cost management, account keys, Azure Key Vault, authentication, and private communications.

2. Implement Content Moderation Solutions (10–15%)

   • Develop text and image moderation solutions using Azure AI Content Safety.

   • Create solutions for secure content delivery.

3. Implement Computer Vision Solutions (15–20%)

   • Analyze images, detect objects, generate tags, and extract text using Azure AI Vision.

   • Convert handwritten text and implement custom vision models (classification and object detection).

   • Train, evaluate, publish, and consume custom vision models.

   • Analyze videos using Azure AI Video Indexer and Spatial Analysis for detecting presence and movement.

4. Implement Natural Language Processing Solutions (30–35%)

   • Analyze text with Azure AI Language to extract key phrases, entities, sentiment, and detect PII.

   • Process speech with Azure AI Speech for text-to-speech, speech-to-text, and custom speech solutions, including SSML, intent recognition, and keyword recognition.

   • Translate text, documents, and speech using Azure AI Translator, including custom translation models.

   • Build and manage language understanding models with Azure AI Language, including intents, entities, and optimization.

   • Create custom question-answering solutions, including multi-turn conversations, chit-chat, and multi-language support.

5. Implement Knowledge Mining and Document Intelligence Solutions (10–15%)

   • Build Azure AI Search solutions, including data sources, indexes, skillsets, custom skills, and Knowledge Store projections.

   • Implement Azure AI Document Intelligence with prebuilt and custom models to extract data from documents.

   • Integrate document intelligence models as custom skills in Azure AI Search.

6. Implement Generative AI Solutions (10–15%)

   • Use Azure OpenAI Service to generate natural language, code, and images with DALL-E.

   • Leverage large multimodal models and optimize generative AI through prompt engineering and fine-tuning.

   • Use your own data with Azure OpenAI models and configure parameters for controlled outputs.

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