Description
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 Monitoring You work with solution architects to translate their vision. You also work 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. Integrate AI capabilities in other applications and solutions. As an Azure AI engineer, you have experience developing solutions that use languages such as: Python 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. Be able to apply responsible AI principles.
Adaptive Test Technology
We use our proprietary Adaptive Test Tech™ which adapts the questioning sequence and complexity based on the success of the questions attempted.
45
Questions
90 min
Duration
176
Question pool
Skills measured
- Plan and manage an Azure AI solution 20%
- Implement content moderation solutions 15%
- Implement computer vision solutions 20%
- Implement natural language processing solutions 35%
- Implement knowledge mining and document intelligence solutions 15%
- Implement generative AI solutions 15%