AI-102 Real Exam Questions
Designing and Implementing a Microsoft Azure AI Solution. Everything you need to prepare, practice, and pass.
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50
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Certification Overview
This exam comprehensively covers the design and implementation of intelligent solutions across Azure's AI platform. Key technical areas include implementing generative AI with Azure OpenAI, building conversational agents with Azure Bot Service, developing knowledge mining solutions using Azure AI Search and Document Intelligence, and leveraging various Azure AI Language and Vision services for NLP and computer vision tasks, alongside managing and planning overall AI solutions.
What This Certification Proves
This certification validates an individual's expertise in designing, implementing, and managing Microsoft Azure AI solutions. It proves the ability to integrate various Azure AI services to create intelligent applications, spanning natural language processing, computer vision, knowledge mining, and generative AI, demonstrating proficiency in architecting and deploying AI capabilities on the Azure platform.
Who Should Take This Exam
This exam is ideal for AI Engineers, Data Scientists, and Solution Architects with practical experience in C#, Python, or JavaScript, who are responsible for building, managing, and deploying AI solutions on Azure. It targets professionals looking to validate their expertise in leveraging Azure's diverse AI services for real-world business problems.
Topic Breakdown
50 domains covering 174 questions
| Domain | Questions | Weight |
|---|---|---|
| Implement Conversational Ai Solutions | 37 | 21% |
| Implement Computer Vision Solutions | 23 | 13% |
| Plan And Manage An Azure Ai Solution | 22 | 13% |
| Implement Natural Language Processing Solutions | 20 | 11% |
| Implement Knowledge Mining Solutions | 16 | 9% |
| Implement Azure Ai Language Solutions | 8 | 5% |
| Implement Responsible Ai Principles | 2 | 1% |
| Implement Azure Ai Speech Solutions | 2 | 1% |
| Implement Language Ai Solutions | 2 | 1% |
| Azure Ai Language Solutions | 2 | 1% |
| Implement An Azure Ai Solution | 1 | 1% |
| Implement An Azure Ai Solution Infrastructure | 1 | 1% |
| Implement An Azure Machine Learning Solution | 1 | 1% |
| Implement And Manage An Azure Ai Search Solution | 1 | 1% |
| Implement Azure Ai Document Intelligence Solutions | 1 | 1% |
| Implement Azure Ai Search | 1 | 1% |
| Implement Azure Ai Search Solutions | 1 | 1% |
| Implement Azure Ai Services Solutions | 1 | 1% |
| Implement Azure Openai | 1 | 1% |
| Implement Azure Openai Solutions | 1 | 1% |
| Implement Content Safety | 1 | 1% |
| Implement Conversational Ai | 1 | 1% |
| Implement Conversational Ai Solution | 1 | 1% |
| Implement Data Processing Solutions | 1 | 1% |
| Implement Generative Ai Solutions | 1 | 1% |
| Implement Knowledge Mining And Content Safety Solutions | 1 | 1% |
| Implement Knowledge Mining And Document Intelligence | 1 | 1% |
| Implement Knowledge Mining Solution | 1 | 1% |
| Implement Language Understanding Solutions | 1 | 1% |
| Implement Security For Azure Ai Solutions | 1 | 1% |
| Implement Solutions That Use Azure Ai Language | 1 | 1% |
| Implement Solutions That Use The Azure Ai Language Service | 1 | 1% |
| Implement Speech Solutions | 1 | 1% |
| Monitor, Manage, And Optimize Ai Solutions | 1 | 1% |
| Monitor, Troubleshoot, And Optimize Ai Solutions | 1 | 1% |
| N/A | 1 | 1% |
| Plan And Implement An Azure Ai Solution | 1 | 1% |
| Plan And Manage An Azure Ai Search Solution | 1 | 1% |
| Plan And Manage Azure Ai Services | 1 | 1% |
| Plan And Manage Azure Ai Solutions | 1 | 1% |
| Secure Azure Ai Services | 1 | 1% |
| Design And Implement A Computer Vision Solution | 1 | 1% |
| Design And Implement A Natural Language Processing Solution | 1 | 1% |
| Design And Implement An Azure Ai Language Solution | 1 | 1% |
| Design And Implement Natural Language Processing Solutions | 1 | 1% |
| Design Data Storage And Processing Solutions | 1 | 1% |
| Implement A Conversational Ai Solution | 1 | 1% |
| Implement A Knowledge Mining Solution | 1 | 1% |
| Implement A Natural Language Processing Solution | 1 | 1% |
| Implement An Azure Ai Language Solution | 1 | 1% |
Study Plans
Choose a study plan that matches your schedule and experience level
30 Days
Intensive Sprint
Week 1-2
- Master fundamentals: Implement Conversational Ai Solutions
- Read Microsoft official documentation
- Complete 11 questions daily
Week 3
- Deep dive: Implement Computer Vision Solutions
- Review weak areas from results
- Take 2 full-length exams
Week 4
- Review all flagged questions
- Timed exams to build stamina
- Final revision of key concepts
60 Days
Balanced Approach
Week 1-2
- Survey all exam domains
- Set up study environment
- Begin with foundational topics
Week 3-4
- Focus: Implement Conversational Ai Solutions
- Focus: Implement Computer Vision Solutions
- 6 questions daily
Week 5-6
- Focus: Plan And Manage An Azure Ai Solution
- Hands-on labs if applicable
- Review explanations for wrong answers
Week 7-8
- Complete all 323 questions
- Identify and eliminate weak areas
- Take 3 full-length timed tests
90 Days
Comprehensive Study
Month 1
- Learn all exam domains at a comfortable pace
- Build strong foundational knowledge
- 4 questions daily
Month 2
- Deep dive into each domain
- Hands-on practice and labs
- Take weekly timed exams
Month 3
- Work through all 323 questions
- Identify and eliminate weak areas
- Take 3 full-length timed exams
AI-102-Specific Tips
- Gain hands-on experience with core Azure AI services like Azure OpenAI, Azure AI Search, Azure AI Language, and Azure AI Document Intelligence by deploying and configuring them in the Azure portal.
- Pay close attention to Generative AI solutions, including prompt engineering with Azure OpenAI, and the architecture behind agentic solutions, as these are emerging and heavily weighted topics.
- Thoroughly understand knowledge mining workflows, specifically how to combine Azure AI Search with Azure AI Document Intelligence and other NLP features for information extraction and retrieval.
- Familiarize yourself with the development and deployment of conversational AI using Bot Framework Composer and Azure Bot Service, including QnA Maker integration.
- Practice implementing both custom computer vision models with Azure Custom Vision and leveraging pre-built Azure AI Vision capabilities, including content moderation with Azure AI Content Safety.
- Master the various features of Azure AI Language, such as Named Entity Recognition (NER), sentiment analysis, and text summarization, understanding their application in NLP solutions.
- Focus not just on *how* to implement but also *how to design and plan* Azure AI solutions, considering scalability, security, and cost-effectiveness for real-world scenarios.
Relevant Career Roles
Sample Questions
Try 5 free questions from the AI-102 question bank
You are developing a new sales system that will process the video and text from a public-facing website. You plan to notify users that their data has been processed by the sales system. Which responsible AI principle does this help meet?
You are building a chatbot. You need to configure the bot to guide users through a product setup process. Which type of dialog should you use?
You have an Azure AI Search solution and a collection of handwritten letters stored as JPEG files. You plan to index the collection. The solution must ensure that queries can be performed on the contents of the letters. You need to create an indexer that has a skillset. Which skill should you include?
You have an Azure subscription. You plan to build an app that will use the Azure OpenAI DALL-E model. You need to deploy the model. What should you use?
You need to develop a solution to provide data to executives. The solution must provide an interactive graphical interface, depict various key performance indicators, and support data exploration by using drill down. What should you use in Microsoft Power Bl?
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