Microsoft Certified: Azure AI Engineer Associate Intermediate Practice Exam: Medium Difficulty 2025

You are deploying an Azure Cognitive Services resource for a multi-regional application that requires high availability and low latency. The application processes user-generated content from Europe and North America. You need to ensure optimal performance while managing costs effectively. Which approach should you implement?

Your company is building a content moderation system using Azure Computer Vision. The system must detect inappropriate images uploaded by users and flag them for human review. You need to configure the solution to minimize false positives while ensuring that potentially harmful content is never missed. Which configuration should you implement?

You are developing an inventory management system that needs to extract product information from warehouse shelf images. The system must identify product labels, read text from them, and determine their spatial location on the shelf. Which combination of Azure Computer Vision features should you use?

Your team is building a chatbot using Azure Language Service that needs to understand customer intents across multiple languages. The bot must handle customer service requests in English, Spanish, and French. You have training data available only in English. What is the most efficient approach to implement multi-language support?

You are implementing a document processing solution that extracts key information from purchase orders with varying formats from different suppliers. Each supplier uses a different layout, but all contain similar fields like order number, date, items, and total amount. Which Azure service and approach should you use?

Your organization needs to implement a Question Answering solution using Azure Language Service. The knowledge base will be created from existing FAQ documents, product manuals, and a SharePoint site. Users report that answers are sometimes too generic. You need to improve answer precision and add conversational follow-up capabilities. What should you implement?

You are building an Azure Cognitive Search solution for a legal firm that needs to search through thousands of case documents. The solution must support searching by document content, extract key entities like case numbers and dates, and identify personally identifiable information (PII) for redaction. Which components should you configure in your indexer pipeline?

Your company is developing a sentiment analysis application using Azure Language Service to analyze customer feedback. The application processes feedback in real-time and stores results in a database. You notice that API calls are being throttled during peak hours. The application uses the Free tier and processes approximately 10,000 documents per hour. What should you do to resolve this issue?

You are implementing an Azure OpenAI solution for generating product descriptions. The generated content must maintain consistency with brand voice, avoid prohibited topics, and stay within specific length constraints. Users report that some generated descriptions occasionally violate content guidelines. Which combination of techniques should you implement?

Your team is building a Retrieval Augmented Generation (RAG) solution using Azure OpenAI and Azure Cognitive Search. The system retrieves relevant documents from an index and uses them as context for GPT model responses. Users complain that responses sometimes contain outdated information even though the search index is updated daily. What is the most likely cause and solution?