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AI Engineers design and develop intelligent solutions that encapsulate artificial intelligence (AI) capabilities. As an aspiring Azure AI Engineer, it’s important to understand some of the key foundational concepts on which AI is based, and the various services in Microsoft Azure that you can use to build AI solutions.
This learning path helps prepare you for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.
Prerequisites:
Before starting this learning path, you should already have familiarity with Azure and the Azure portal, and a basic understanding of software engineering.
As an aspiring Azure AI Engineer, you should understand core concepts and principles of AI development, and the capabilities of Azure services used in AI solutions.
Learning objectives:
After completing this module, you will be able to:
Prerequisites:
Before starting this module, you should already have familiarity with Azure and the Azure portal, and a basic understanding of software engineering.
Q1. Which of the following best describes the predictions made by a machine learning model?
Q2. A data scientist has used Azure Machine Learning to train a machine learning model. How can you use the model in your application?
Q3. You want to index a collection of text documents, and search them from a mobile application. Which service should you use to create the index?
I hope this Prepare for AI engineering Microsoft Quiz Answers would be useful for you to learn something new from this problem. If it helped you then don’t forget to bookmark our site for more Coding Solutions.
This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.
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