Microsoft Certified: Azure AI Engineer Associate - AI-102

98%

Passed the exams with
our exams practice tests.

99%

Found the study guide
effective and helpful.

100%

Pass the AI-102 exam with our premium support.

Browse 250+ AI-102 Questions Click for exam support

Microsoft Azure AI Engineer Associate AI-102

Get our Premium Exam Support with Guaranteed pass on 1st attempt and pay after you pass

Level

Intermediate

Product

Azure

Role

AI Engineer

Subject

Artificial intelligence

As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI. Your responsibilities include participating in all phases of AI solutions development, including requirements definition and design, development, deployment, integration, maintenance, performance tuning, and monitoring. You work with solution architects to translate their vision, and you also collaborate with data scientists, data engineers, Internet of Things (IoT) specialists, infrastructure administrators, and other software developers to build complete and secure end-to-end AI solutions and integrate AI capabilities in other applications and solutions. As an Azure AI engineer, you have experience developing solutions that use languages such as Python and C#. You should be able to use Representational State Transfer (REST) APIs and SDKs to build secure image processing, video processing, natural language processing, knowledge mining, and generative AI solutions on Azure. You should understand the components that make up the Azure AI portfolio and the available data storage options, and be able to apply responsible AI principles.

Important: Azure AI Foundry is now Microsoft Foundry. We are in the process of updating the exam and all associated materials.

Assessed on this Exam

The AI-102 exam evaluates your ability to plan, implement, and manage Azure AI solutions across various domains:

Plan and manage an Azure AI solution

Design and manage comprehensive Azure AI solutions that meet business requirements.

Implement generative AI solutions

Build and deploy generative AI applications using Azure AI services.

Implement an agentic solution

Create intelligent agents that can interact with users and systems autonomously.

Implement computer vision solutions

Develop image and video processing solutions using Azure Computer Vision services.

Implement natural language processing solutions

Build NLP applications for text analysis, translation, and understanding.

Implement knowledge mining and information extraction solutions

Create solutions that extract insights and knowledge from unstructured data.

What You'll Find in Our
AI-102 Question Bank

Our question bank is designed to help you master the AI-102 exam with targeted practice and detailed explanations.

Realistic Practice Questions

A sample of questions similar to the exams on the actual exam are provided, including multiple choice and informatics application questions.

Detailed Explanations

Not only answer the questions correctly but also know why the other three choices are wrong, thus benefiting from every question.

Comprehensive Coverage

Make sure you have prepared for each subject with topics and questions that include questions on all the areas covered in AI-102.

Exam Readiness

Doing this will help you to build confidence and reduce the amount of nerves you have in you on the examination day.

How to Use Our AI-102
Questions for Best Results

Start Early

Introduce practice questions into your study process as early as possible in order to find out about the topics that require more attention.

Review Often

It is advised to go back to questions, studied earlier, in order to refresh the knowledge and get a better understanding of the material.

Simulate Exam Conditions

When you are ready, it is advisable to attempt a full set of practice questions in one sitting as you will experience during the actual AI-102 examination.

Analyze Your Performance

Get to know your mistakes in detail by using our detailed explanations and concentrate on your weaknesses.