Analytics Insight outlines the top most-asked Azure machine learning interview questions

There is a huge rise in machine learning job roles across the world in tech companies for the emergence of high-performance technologies. The immense hard work by developers and scientists is driving the growth of machine learning and artificial intelligence. This has led to the high demand for machine learning career opportunities for technology professionals in these recent years. Thus, aspiring candidates need to know what happens in a machine learning interview, especially an Azure machine learning interview. Let's explore some of the top most-asked Azure machine learning interview questions.

Introduction of Azure Machine Learning

At first, let us gain a bit of knowledge of Azure machine learning before going through Azure machine learning interview questions. Microsoft Azure offers a cloud service for managing multiple artificial intelligence and machine learning project lifecycle known as Azure machine learning with a robust set of tools. This service is created for machine learning engineers, data scientists, and many more to train and deploy machines or manage MLOps efficiently and effectively. Azure machine learning helps to use a model that is built with an open-source platform like TensorFlow while MLOps assists in redeploying these models within an organization in an auditable production environment.

Organizations that work in the Microsoft Azure cloud find security and role-based access control (RBAC) for proper infrastructure to deny access to confidential and sensitive data in select operations. Azure machine learning offers multiple interfaces like Python SDK, Azure Resource Manager REST APIs, CLI v2, and many more. Azure machine learning is known for integrating with Microsoft Azure cloud to provide the utmost security with Azure virtual networks, Azure key vault, and Azure container registry.

If any aspiring machine learning engineer, machine learning software engineer, machine learning scientist, a designer in human-centered machine learning, and many more are preparing for the Azure machine learning interview, these following questions will help to crack it with confidence. An Azure machine learning interview consists of some basic interview questions as well as the range that flows between easy to very difficult, as per the knowledge of the interviewee. It is recommended that before sitting for an Azure machine learning interview, ensure to complete one or two popular Microsoft Azure machine learning online courses with a valuable certificate from professional websites and educational institutes to add value to the CV and gain in-depth knowledge.

Top Azure Machine Learning Interview Questions

• Why have you chosen a professional career in cloud computing with Microsoft Azure?
• How is Microsoft Azure different from AWS?
• How did you gain knowledge of Azure machine learning?
• What are the different instance types offered by Azure machine learning?
• How many deployment environments are offered by Microsoft Azure?
• Mention the differences between Microsoft Azure ML Studio and GCP Cloud AutoML
• What are the different components of the Azure machine learning workspace?
• Why compute targets is important for Azure machine learning?
• Why should one use Azure machine learning pipelines?
• Mention the differences between Microsoft Azure ML and Microsoft Azure ML Studio
• Explain the different machine learning tools in Microsoft Azure to fit each task.