Machine Learning in Azure test: Screening test for top talent

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Machine Learning in Azure test

Summary of the Machine Learning in Azure test

TestGorilla's Machine Learning in Azure test evaluates candidates' ability to design and manage machine learning (ML) systems on Azure. Hire skilled ML experts to drive data-powered innovation and informed decision-making.

This screening test will help you find candidates who excel at driving ML initiatives, optimizing models, deploying and inferring in real-time, and ensuring ML governance.

Covered skills

  • Azure infrastructure for machine learning

  • Model development and performance tuning

  • Deployment and real-time inferencing

  • MLOps and governance

Use the Machine Learning in Azure test to hire

Machine learning engineers, data scientists, AI developers, MLOps engineers, AI solutions architects, data Engineers, business intelligence analysts, Azure cloud developers, and any other roles requiring an intermediate grasp of machine learning in Azure.


Programming skills


10 min




graphic for programming skills tests

About the Machine Learning in Azure test

In today's data-driven world, businesses face the challenge of managing vast amounts of data. To unlock valuable insights and informed decision-making, machine learning (ML) becomes essential. Azure's powerful machine learning services enable efficient ML model training, testing, and deployment in the cloud, empowering businesses to harness the potential of their data.

This Machine Learning in Azure test evaluates candidates' skills in designing, implementing, and managing ML systems and MLOps pipelines on the Azure platform. It covers key areas such as Azure Infrastructure for Machine Learning, Model Development & Performance Tuning, Deployment & Real-time Inferencing, and MLOps & Governance.

This screening test will help you identify talented individuals who possess a solid understanding of ML engineering procedures and can effectively apply them using Azure services. Candidates excelling in this test will demonstrate the ability to drive ML initiatives, optimize models, deploy and infer in real time, and ensure ML governance. Hiring such skilled professionals will enhance your organization's ML capabilities, accelerate innovation, and lead to data-powered business growth.

By utilizing this Machine Learning in Azure test, you can confidently assess candidates' expertise in Azure-based machine learning. This test provides valuable insights into their practical skills and knowledge, enabling you to identify the right talent who will contribute to your organization's ML success. With skilled ML practitioners adept at leveraging Azure services, you can effectively build and manage ML systems, make data-driven decisions, and stay ahead in the competitive market.

photo of the subject matter expert for this test

This test is made by a subject-matter expert

Gary R.

Gary has been working in the data science field for more than three years and is proficient in the fields of machine learning and data analysis. He has a Bachelor’s degree in Economics and a Master’s degree in Computer Science. The combination of those two fields helps Gary to achieve even greater results.

He is fond of computer science and loves to work on projects related to Artificial Intelligence which is, in his opinion, the future of our world.

Crafted with expert knowledge

TestGorilla’s tests are created by subject matter experts. We assess potential subject-matter experts based on their knowledge, ability, and reputation. Before being published, each test is peer-reviewed by another expert, then calibrated using hundreds of test takers with relevant experience in the subject.

Our feedback mechanisms and unique algorithms allow our subject-matter experts to constantly improve their tests.

What our customers are saying

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VP of Engineering, Mid-Market (51-1000 emp.)

Review from G2

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I hope that TestGorilla realizes the value proposition in their work is not only the platform but the type of support that’s provided.

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Chief Talent Connector, Small-Business (50 or fewer emp.)

Review from G2

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Our screening tests identify the best candidates and make your hiring decisions faster, easier, and bias-free.

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