If you want to test your exam readiness for Microsoft AZURE AI 900 and feel confident to pass the exam in the first attempt, then you landed on the right page. This brand new AI 900 certification reflects the difficulty of the actual Microsoft AZURE exam questions with well guided explanation and reference links.

Why Microsoft azure AI?

Well, AIis no science fiction nowadays. You don't necessarily need any fancy PHD or a programming expert to build AI apps. With the advent of cloud technologies, implementation and deployment of bulky AI programs are easy and fast.

Azure provides various Machine Learning products and analytic services like Azure Synapse Analytics, Azure Cognitive Services, Machine Learning designer etc which even offers a no-coding-required environment for building Machine Learning experiments having add-on benefits of the cloud. All you need is to drag and drop your data sets, algorithms and link them together to implement web services needed for Machine Learning development.

If you are a beginner or a Data Scientist and want to foray into Machine Learning/Artificial Intelligence domain, then you should consider certifying with Microsoft Azure AI Fundamentals AI 900 exam first.

Topics covered in these practice exam

• Common AI workloads

• Common machine learning types and core concepts

• Tasks in creating a machine learning solution

• "no-code" predictive models with Azure Machine Learning

• Common types of the computer vision solution

• Azure tools and services for computer vision tasks

• Common NLP Workload Scenarios

• Azure tools and services for NLP workloads

• Common use cases for conversational AI

• Azure services for conversational AI

• Guiding principles for responsible AI