Microsoft Certified: Azure AI Fundamentals Intermediate Practice Exam: Medium Difficulty 2025

A healthcare organization is developing an AI system to assist radiologists in identifying potential tumors in medical images. The system will provide recommendations, but final diagnoses must be made by qualified medical professionals. Which principle of responsible AI is MOST directly addressed by maintaining human oversight in this scenario?

A retail company wants to predict which customers are likely to stop using their service in the next three months based on historical customer behavior data. They have labeled data showing which customers churned in the past. What type of machine learning approach should they use?

A data scientist is training a machine learning model and notices that it performs extremely well on the training dataset (98% accuracy) but poorly on the validation dataset (65% accuracy). What problem is the model experiencing, and what is the BEST approach to address it?

A manufacturing company needs to implement a computer vision solution that can identify defective products on an assembly line. They have 50,000 images of products, with only 200 images showing defects. Which Azure AI service and approach would be MOST appropriate for this scenario?

A mobile app development team wants to add functionality that allows users to take a photo of a restaurant menu in any language and have it translated to English in real-time. Which combination of Azure AI services would accomplish this task?

An e-commerce company wants to analyze customer reviews to automatically categorize them by sentiment (positive, negative, neutral) and identify key topics customers are discussing (shipping, product quality, customer service). Which Azure Cognitive Service feature combination should they use?

A global hotel chain wants to implement a virtual assistant that can handle customer inquiries in multiple languages, understand booking intents like 'I want to reserve a room for three nights in Paris', and provide appropriate responses. Which Azure service is BEST suited for building this conversational AI solution?

A financial services company is developing an AI model to detect fraudulent transactions. They are concerned about the model incorrectly flagging legitimate transactions as fraudulent, which frustrates customers. In the context of classification metrics, which metric should they prioritize to minimize false positives?

A smart city initiative wants to analyze live traffic camera feeds to count vehicles, classify vehicle types (cars, trucks, buses), and detect traffic violations in real-time across 500 intersections. Which Azure AI capability and deployment approach would be MOST suitable?

A company is implementing an AI solution that will automatically screen job applications. During testing, they discover that the model disproportionately rejects qualified candidates from certain demographic groups due to biased patterns in historical hiring data. Which responsible AI principle is violated, and what should be the PRIMARY remediation approach?