Practice Tests AI-102 Microsoft Azure AI Solution Exam

These are FULL-LENGTH tests that have been carefully built to help you crack the AI-102 - UPDATED  April 2023.

The role of a Microsoft Azure AI engineer involves building, managing, and deploying AI solutions that maximize the benefits of Azure Cognitive Services and Azure services. They are responsible for all phases of AI solution development, from requirements definition and design to development, deployment, integration, maintenance, performance tuning, and monitoring.

In collaboration with solution architects, Azure AI engineers work closely with data scientists, data engineers, IoT specialists, infrastructure administrators, and other software developers to create end-to-end AI solutions.

Proficient in programming languages like Python or C#, Azure AI engineers are skilled in using REST-based APIs and software development kits (SDKs) to build secure solutions for image processing, video processing, natural language processing (NLP), knowledge mining, and conversational AI on Azure. They are knowledgeable in all methods of implementing AI solutions and understand the components that comprise the Azure AI portfolio, as well as available data storage options. Additionally, Azure AI engineers must have an understanding of responsible AI principles and apply them in their work.

Why is Microsoft Azure AI the best certification?

There are several reasons why the Microsoft Azure AI certification can be valuable for individuals interested in developing their skills in the field of artificial intelligence:

1. Recognition and Credibility: Microsoft is a well-known and respected brand in the technology industry, and its certifications are recognized worldwide. Obtaining a Microsoft Azure AI certification can demonstrate to potential employers that you have a solid understanding of AI concepts and the ability to work with Microsoft's AI tools and services.

2. Comprehensive Curriculum: The Microsoft Azure AI certification covers a wide range of topics, including machine learning, natural language processing, computer vision, and cognitive services. The certification also includes hands-on labs and practical exercises, which can help you gain practical experience working with Azure AI technologies.

3. Access to Microsoft AI Tools: As part of the certification program, you will have access to Microsoft's AI tools and services, including Azure Machine Learning Studio, Cognitive Services APIs, and Azure Bot Service. This can help you become proficient in using these tools and provide you with a competitive advantage in the job market.

4. Career Advancement: Obtaining a Microsoft Azure AI certification can open up new career opportunities in the field of AI. According to a report by Indeed, the demand for AI talent has grown by 119% since 2015, and AI-related jobs pay significantly higher than other IT jobs. With a Microsoft Azure AI certification, you can demonstrate your expertise in this rapidly growing field and position yourself for career advancement.

Overall, the Microsoft Azure AI certification can be a valuable investment for individuals looking to develop their skills in the field of artificial intelligence and enhance their career prospects.

Skills measured

• Plan and manage an Azure AI solution (25–30%)

• Implement image and video processing solutions (15–20%)

• Implement natural language processing solutions (25–30%)

• Implement knowledge mining solutions (5–10%)

• Implement conversational AI solutions (15–20%)