Master the Microsoft Certified: Azure AI Engineer Associate exam with our comprehensive Q&A collection. Review questions by topic, understand explanations, and build confidence for exam day.
Strategies to help you tackle Microsoft Certified: Azure AI Engineer Associate exam questions effectively
Allocate roughly 1-2 minutes per question. Flag difficult questions and return to them later.
Pay attention to keywords like 'MOST', 'LEAST', 'NOT', and 'EXCEPT' in questions.
Use elimination to narrow down choices. Often 1-2 options can be quickly ruled out.
Focus on understanding why answers are correct, not just memorizing facts.
Practice with real exam-style questions for Microsoft Certified: Azure AI Engineer Associate
Deploying the Custom Vision model as a Docker container on Azure IoT Edge devices is correct because it enables edge deployment for low-latency processing and continues operating during internet outages. The model runs locally on edge devices. Option B is incorrect because caching doesn't provide true offline operation for new predictions. Option C still requires network connectivity to reach AKS. Option D doesn't address offline requirements as Functions still need connectivity to process requests.
Azure OpenAI Service with content filters enabled and managed identity is correct because it provides built-in content filtering capabilities, abuse monitoring features, and secure authentication that aligns with responsible AI practices. It offers comprehensive tools for managing AI safety. Option B lacks content filtering capabilities. Option C would require custom implementation of safety features. Option D focuses on ML operations rather than providing built-in responsible AI features for conversational AI.
A multi-service resource with pay-as-you-go pricing is correct for unpredictable traffic patterns because it provides flexibility to scale based on actual usage without committing to fixed capacity. It also simplifies management with a single endpoint. Option B (commitment tier) is better for predictable workloads where you can commit to specific usage levels. Option C adds management complexity without cost benefits. Option D is incorrect as Reserved Instances don't apply to Cognitive Services APIs.
Adding more diverse training images, especially for underrepresented classes, is correct because low recall indicates the model is missing many true positives. More varied training data helps the model learn to recognize more instances. Option B (increasing threshold) would further reduce recall while increasing precision. Option C would likely decrease overall model performance. Option D might balance the dataset but doesn't directly address the low recall issue and could reduce overall accuracy.
Azure Computer Vision Spatial Analysis is correct because it's specifically designed for analyzing people movement, counting individuals in zones, detecting queues, and spatial analytics scenarios. It's optimized for retail and space management use cases. Option A (Video Indexer) focuses on content analysis like speech and visual content rather than spatial analytics. Option C (Face API) raises privacy concerns and isn't designed for zone-based counting. Option D would require significant custom development to achieve the spatial analysis capabilities.
Review Q&A organized by exam domains to focus your study
15% of exam • 3 questions
What is the primary purpose of Plan and Manage an Azure AI Solution in Cloud Computing?
Plan and Manage an Azure AI Solution serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Microsoft Azure solutions. Understanding this domain is crucial for the Microsoft Certified: Azure AI Engineer Associate certification.
Which best practice should be followed when implementing Plan and Manage an Azure AI Solution?
When implementing Plan and Manage an Azure AI Solution, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Plan and Manage an Azure AI Solution integrate with other Microsoft Azure services?
Plan and Manage an Azure AI Solution integrates seamlessly with other Microsoft Azure services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
20% of exam • 3 questions
What is the primary purpose of Implement Computer Vision Solutions in Cloud Computing?
Implement Computer Vision Solutions serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Microsoft Azure solutions. Understanding this domain is crucial for the Microsoft Certified: Azure AI Engineer Associate certification.
Which best practice should be followed when implementing Implement Computer Vision Solutions?
When implementing Implement Computer Vision Solutions, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Implement Computer Vision Solutions integrate with other Microsoft Azure services?
Implement Computer Vision Solutions integrates seamlessly with other Microsoft Azure services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
30% of exam • 3 questions
What is the primary purpose of Implement Natural Language Processing Solutions in Cloud Computing?
Implement Natural Language Processing Solutions serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Microsoft Azure solutions. Understanding this domain is crucial for the Microsoft Certified: Azure AI Engineer Associate certification.
Which best practice should be followed when implementing Implement Natural Language Processing Solutions?
When implementing Implement Natural Language Processing Solutions, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Implement Natural Language Processing Solutions integrate with other Microsoft Azure services?
Implement Natural Language Processing Solutions integrates seamlessly with other Microsoft Azure services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
15% of exam • 3 questions
What is the primary purpose of Implement Knowledge Mining and Document Intelligence Solutions in Cloud Computing?
Implement Knowledge Mining and Document Intelligence Solutions serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Microsoft Azure solutions. Understanding this domain is crucial for the Microsoft Certified: Azure AI Engineer Associate certification.
Which best practice should be followed when implementing Implement Knowledge Mining and Document Intelligence Solutions?
When implementing Implement Knowledge Mining and Document Intelligence Solutions, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Implement Knowledge Mining and Document Intelligence Solutions integrate with other Microsoft Azure services?
Implement Knowledge Mining and Document Intelligence Solutions integrates seamlessly with other Microsoft Azure services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
20% of exam • 3 questions
What is the primary purpose of Implement Generative AI Solutions in Cloud Computing?
Implement Generative AI Solutions serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Microsoft Azure solutions. Understanding this domain is crucial for the Microsoft Certified: Azure AI Engineer Associate certification.
Which best practice should be followed when implementing Implement Generative AI Solutions?
When implementing Implement Generative AI Solutions, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Implement Generative AI Solutions integrate with other Microsoft Azure services?
Implement Generative AI Solutions integrates seamlessly with other Microsoft Azure services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
After reviewing these questions and answers, challenge yourself with our interactive practice exams. Track your progress and identify areas for improvement.
Common questions about the exam format and questions
The Microsoft Certified: Azure AI Engineer Associate exam typically contains 50-65 questions. The exact number may vary, and not all questions may be scored as some are used for statistical purposes.
The exam includes multiple choice (single answer), multiple response (multiple correct answers), and scenario-based questions. Some questions may include diagrams or code snippets that you need to analyze.
Questions are weighted based on the exam domain weights. Topics with higher percentages have more questions. Focus your study time proportionally on domains with higher weights.
Yes, most certification exams allow you to flag questions for review and return to them before submitting. Use this feature strategically for difficult questions.
Practice questions are designed to match the style, difficulty, and topic coverage of the real exam. While exact questions won't appear, the concepts and question formats will be similar.
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