You’re designing a customer service chatbot for a retail company that needs to handle product inquiries, order status checks, and basic troubleshooting. The chatbot should maintain context within a conversation but doesn’t need to remember specific user details across different sessions. Which type of Azure AI service would be most appropriate for implementing the core conversational logic?

A manufacturing company wants to analyze thousands of daily inspection reports stored as PDFs to identify common equipment failure patterns. The reports contain structured tables, handwritten notes, and technical diagrams. You need to extract both the structured data from tables and key phrases from the notes for analysis. What’s the most efficient Azure service combination to process these documents at scale?

During testing of your custom speech recognition model, you notice it performs poorly on technical jargon specific to your industry, even though general speech recognition works well. The model was trained on a substantial dataset of domain-specific audio. What’s the most likely approach to improve accuracy without collecting significantly more training data?

You’ve built a question-answering system for a knowledge base using Azure AI services. Users report that when they ask complex, multi-part questions, the system often provides incomplete or irrelevant answers. The knowledge base articles are comprehensive and well-structured. What enhancement would most effectively address this issue?

A financial institution needs to process loan applications where applicants submit images of identification documents, pay stubs, and signatures. You need to verify that: 1) all required documents are present, 2) the ID matches the name on the application, and 3) signatures are present where required. Which Azure AI approach provides the most complete solution?

Your company’s video streaming platform needs to automatically generate captions in multiple languages. The content includes movies, live events, and user-generated videos with varying audio quality. You need a solution that handles different accents, background music, and can scale with growing content volume. What Azure service configuration best meets these requirements?

You’re implementing a content moderation system for a social media platform that needs to detect inappropriate text in user posts, comments, and uploaded images. The platform operates in multiple regions with different cultural norms about appropriate content. How should you design the moderation system to handle these varying requirements effectively?

A healthcare research team needs to analyze clinical trial documents to identify mentions of specific medical conditions, medications, and treatments. The documents contain specialized medical terminology and abbreviations. They need both high accuracy and the ability to explain why certain text was classified as a medical entity. Which approach provides the best balance of accuracy and explainability?

An e-commerce company wants to implement personalized product recommendations on their website. They have historical purchase data, product browsing patterns, and customer demographic information. The solution needs to update recommendations in near-real-time as users browse and must integrate with their existing web application. Which Azure AI architecture would be most effective?

You’re designing a customer service chatbot for a retail company that needs to handle product inquiries, order status checks, and basic troubleshooting. The chatbot should maintain context within a conversation but doesn’t need to remember specific user details across different sessions. Which type of Azure AI service would be most appropriate for implementing the core conversational logic?0