Microsoft AI-102 Exam Questions

Exam Name: Designing and Implementing a Microsoft Azure AI Solution

Exam Code: AI-102

Related Certification(s): Microsoft Azure AI Engineer Associate Certification

Certification Provider: Microsoft

Actual Exam Duration: 100 Minutes

Number of AI-102 Practice Questions: 310 (updated: )

Microsoft Recommended Focus Areas for the AI-102 Exam:
Topic 1: Plan and manage an Azure AI solution
This topic focuses on planning Azure AI services solutions, managing Azure resources, monitoring AI workloads, and implementing responsible AI principles for Azure AI applications.
Topic 2: Implement decision support solutions
This section covers implementing AI solutions such as anomaly detection, content moderation, knowledge mining, and decision-making systems using Azure AI services.
Topic 3: Implement computer vision solutions
This topic includes analyzing images, detecting objects, implementing OCR solutions, building custom vision models, and using Azure AI Vision services.
Topic 4: Implement natural language processing solutions
This section focuses on sentiment analysis, language detection, key phrase extraction, conversational language understanding, and creating chatbots using Azure AI Language services.
Topic 5: Implement generative AI solutions
This topic covers building applications using Azure OpenAI Service, prompt engineering, managing large language models, and implementing generative AI applications.
Free Microsoft AI-102 Exam Actual Questions
Note: Microsoft AI-102 Premium Questions were last updated on

Q1. You have a chatbot that was built by using Microsoft Bot Framework and deployed to Azure. You need to configure the bot to support voice interactions. The solution must support multiple client apps. Which type of channel should you use?

Q2. You have a Microsoft OneDrive folder that contains a 20-GB video file named File1.avi. You need to index File1.avi by using the Azure Video Indexer website. What should you do?

Q3. You need to measure the public perception of your brand on social media by using natural language processing. Which Azure service should you use?

Q4. Which statement is an example of Data Manipulation Language (DML)?

Q5. You are building a social media messaging app. You need to identify in real time the language used in messages.