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A healthcare organization wants to implement an AI solution that can analyze patient X-ray images to detect potential abnormalities. Which type of AI workload does this scenario represent?

Your company is developing an AI system that will make loan approval decisions. Which principle of Responsible AI is MOST critical to address potential discrimination against protected groups?

A retail company wants to implement a chatbot that can understand customer intent from their messages and provide appropriate product recommendations. The chatbot needs to handle multiple languages and understand context. Which Azure service would be MOST appropriate for building this solution?

Which statement BEST describes the difference between AI, machine learning, and deep learning?

A manufacturing company wants to predict equipment failures before they occur using historical sensor data including temperature, vibration, and operating hours. They need to explain to regulators why the model made specific predictions. Which consideration is MOST important for this scenario?

You need to train a machine learning model to predict house prices based on features like square footage, number of bedrooms, and location. What type of machine learning task is this?

A data scientist has trained a model that performs extremely well on training data (99% accuracy) but poorly on test data (65% accuracy). What problem does this indicate, and what is the recommended solution?

Which Azure service provides a visual, drag-and-drop interface for building, training, and deploying machine learning models without writing code?

You are training a binary classification model to detect fraudulent transactions. Your dataset contains 10,000 legitimate transactions and only 100 fraudulent ones. Which metric would be MOST misleading if used alone to evaluate model performance?

A company wants to group their customers into segments based on purchasing behavior without having predefined categories. They want the algorithm to discover natural groupings in the data. Which type of machine learning should they use?

You need to implement a solution that can detect and count the number of people entering and exiting a store throughout the day. Which Azure Cognitive Service capability would be MOST suitable?

Which Azure service would you use to extract text from scanned invoices, including key-value pairs like invoice number, date, and total amount?

A wildlife conservation organization wants to automatically identify different animal species from camera trap images. They have thousands of labeled images of various species. What approach should they use?

What is the primary difference between image classification and object detection in computer vision?

A company is developing an accessibility feature for their mobile app that describes the content of images to visually impaired users. The solution needs to generate natural language descriptions of image content including objects, actions, and context. Which Azure Computer Vision feature should they implement?

You need to build a customer service solution that can understand user questions and automatically extract key information like product names, dates, and order numbers from customer inquiries. Which Azure Cognitive Service capability is MOST appropriate?

A global company receives customer feedback in multiple languages and wants to analyze sentiment across all feedback regardless of language. Which Azure Cognitive Services for Language feature would be MOST suitable?

Which Azure service enables you to create a question-and-answer solution from existing content like FAQs, manuals, and documents without training a machine learning model?

A company wants to build a voice-activated application that can transcribe spoken commands in real-time, understand the user's intent, and respond with synthesized speech. Which combination of Azure services would be required?

What is the primary purpose of Language Understanding (LUIS) in Azure Cognitive Services?