AI-100: Microsoft Azure AI Engineer Associate Exam Dumps & Questions

Artificial intelligence is one of the fastest-growing fields in technology, and Microsoft Azure provides powerful tools for building intelligent applications. For professionals looking to prove their skills in designing and implementing AI solutions on Azure, the AI-100: Designing and Implementing an Azure AI Solution exam was a key milestone.
Although this exam has been retired and replaced by the AI-102, many learners still search for AI-100 materials because the certification laid the foundation for today’s Azure AI Engineer role. In this article, we will discuss the AI-100 exam, the certification it led to, real questions, dumps, practice resources, and how Exams Ninja can help you prepare for Azure AI-related certifications.
What is the AI-100 Exam?
The AI-100 exam, officially named Designing and Implementing an Azure AI Solution, tested the knowledge and skills required to build and manage AI-driven applications on Microsoft Azure. It validated expertise in using services like Azure Cognitive Services, Azure Machine Learning, and knowledge mining tools.
By passing the AI-100 exam, candidates earned the Microsoft Certified: Azure AI Engineer Associate certification. This credential highlighted a professional’s ability to:
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Analyze AI requirements for business solutions.
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Design AI-driven workflows using Microsoft Azure tools.
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Build, manage, and deploy AI services.
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Implement natural language processing, speech, vision, and conversational AI solutions.
Certification: Microsoft Certified Azure AI Engineer Associate
The Microsoft Certified: Azure AI Engineer Associate certification is awarded to professionals who demonstrate skills in creating AI applications using Azure Cognitive Services, Azure Bot Service, and Azure Machine Learning.
This certification is intended for individuals working as AI Engineers, Data Scientists, or Cloud Developers. It proves you can:
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Integrate AI capabilities into existing applications.
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Apply machine learning models to business problems.
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Deploy, monitor, and maintain AI-based services.
Although the AI-100 exam was retired, the certification pathway is still active. The replacement exam is AI-102: Designing and Implementing a Microsoft Azure AI Solution, which now validates the latest Azure AI skills.
AI-100 Exam Details
Understanding the exam format helps candidates prepare efficiently. Here are the details of the AI-100 exam:
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Exam Code: AI-100
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Certification Title: Microsoft Certified: Azure AI Engineer Associate
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Exam Duration: 120 minutes (approximately)
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Number of Questions: 40–60
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Question Types: Multiple-choice, case studies, drag-and-drop, and scenario-based questions
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Passing Score: 700 out of 1000
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Exam Cost: About $165 (varies by region)
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Languages Available: English, Japanese, Simplified Chinese, and Korean
Skills Measured in AI-100
The AI-100 exam tested the ability to design and implement AI solutions across four main domains:
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Analyze Solution Requirements (25–30%)
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Identify business requirements for AI solutions.
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Translate goals into technical specifications.
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Design AI Solutions (40–45%)
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Design computer vision, NLP, speech, and conversational AI solutions.
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Design knowledge mining and machine learning pipelines.
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Implement AI Solutions (20–25%)
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Configure and deploy AI services.
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Integrate cognitive services with applications.
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Monitor and Evaluate AI Solutions (5–10%)
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Track performance metrics.
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Ensure AI models meet business and ethical standards.
These skill areas tested both conceptual knowledge and hands-on implementation.
AI-100 Free Exam Questions
Practicing real exam-style questions is one of the most effective ways to prepare. Here are some sample questions similar to those in AI-100:
Question 1:
You need to design a chatbot for customer service that can answer common questions. Which Azure service should you use?
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A. Azure Machine Learning
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B. Azure Bot Service
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C. Azure Functions
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D. Azure Data Factory
Answer: B. Azure Bot Service
Question 2:
Which service is best for building a knowledge mining solution that extracts information from unstructured data?
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A. Azure Machine Learning
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B. Azure Cognitive Search
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C. Azure Logic Apps
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D. Azure Data Lake
Answer: B. Azure Cognitive Search
Question 3:
You need to classify images of vehicles into categories. Which Azure Cognitive Service should you choose?
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A. Computer Vision API
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B. Form Recognizer
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C. Text Analytics API
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D. Face API
Answer: A. Computer Vision API
AI-100 Dumps: Should You Use Them?
When searching for preparation materials, many candidates come across AI-100 dumps. Dumps are collections of real exam questions shared online. While they may seem like a shortcut, you should be cautious:
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Accuracy Issues: Dumps may contain outdated or incorrect answers.
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Policy Concerns: Using unauthorized dumps may violate Microsoft’s exam policies.
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Limited Knowledge: Memorizing answers doesn’t give you real skills needed for the job.
Instead of relying on dumps, focus on legitimate practice tests and trusted platforms such as Exams Ninja, which provides updated exam-style questions and verified answers.
Benefits of Using Practice Tests
Practice tests are one of the most effective preparation tools for certification exams. By taking them regularly, you can:
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Get familiar with the exam format and timing.
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Identify weak areas that require more study.
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Build confidence before the actual exam.
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Reinforce your understanding of AI concepts in Azure.
Exams Ninja offers updated practice tests and real exam-style questions tailored to AI-100 and its replacement exam AI-102.
Recommended Resources for AI-100 Preparation
Here are some of the best study resources to prepare for the AI-100 (and AI-102) exam:
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Microsoft Learn
Free learning paths from Microsoft provide structured modules on AI services, Cognitive Services, and Machine Learning. -
Instructor-Led Training
Microsoft-certified trainers offer deep insights into exam objectives with guided sessions. -
Exams Ninja
A trusted platform offering practice questions, dumps, and exam simulations that reflect real test conditions. -
Hands-On Practice
Use a free Azure subscription to explore Cognitive Services, build chatbots, and deploy AI solutions. -
Community and Forums
Join the Microsoft Tech Community or Azure AI forums to discuss exam strategies with other professionals.
Tips to Pass the AI-100 Exam
Here are some proven strategies to prepare effectively:
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Understand the Domains: Break your study plan into exam domains and study each area thoroughly.
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Focus on Hands-On Practice: The exam measures practical skills, so practice with Azure services in real scenarios.
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Use Practice Tests: Take mock exams from Exams Ninja to simulate the real test.
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Review Case Studies: The exam includes case-study style questions, so practice analyzing business requirements.
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Stay Updated: Since Azure services evolve quickly, use the latest resources to avoid outdated content.
Why Choose Exams Ninja?
When preparing for AI certifications, reliable resources are essential. Exams Ninja provides:
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Realistic practice tests that mirror the AI-100 exam structure.
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Verified exam dumps with real questions and answers.
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Study guides aligned with Microsoft’s certification objectives.
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A user-friendly platform to track your progress and improve weak areas.
By using Exams Ninja, you prepare more effectively and boost your chances of passing with confidence.
Final Thoughts
The AI-100: Microsoft Azure AI Engineer Associate exam was a significant certification that validated expertise in building AI solutions using Azure. By passing this exam, professionals earned the Microsoft Certified: Azure AI Engineer Associate credential, proving their ability to design and implement intelligent applications.
Although the AI-100 has now been replaced by AI-102, its content and objectives remain highly relevant for anyone pursuing a career in AI engineering on Azure. The best way to prepare is through consistent study, hands-on practice, and using trusted platforms like Exams Ninja for practice tests and real exam-style questions.
With the right preparation, you can achieve certification success and position yourself as an expert in the rapidly growing field of artificial intelligence.
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