Certification

Microsoft Certified: Azure Data Scientist Associate

Manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python, Azure Machine Learning and MLflow.

At a glance

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Overview

Warning

This certification and the renewal assessment are retired. Learn more.

As a candidate for this certification, you should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure. Additionally, you should have knowledge of optimizing language models for AI applications using Azure AI.

Your responsibilities for this role include:

  • Designing and creating a suitable working environment for data science workloads.
  • Exploring data.
  • Training machine learning models.
  • Implementing pipelines.
  • Running jobs to prepare for production.
  • Managing, deploying, and monitoring scalable machine learning solutions.
  • Using language models for building AI applications.

As a candidate for this certification, you should have knowledge and experience in data science by using:

  • Azure Machine Learning
  • MLflow
  • Azure AI services, including Azure AI Search
  • Azure AI Foundry

Important

Azure AI Foundry is now Microsoft Foundry. We are in the process of updating the exam and all associated materials.

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Exam policy

This exam will be proctored. You may have interactive components to complete as part of this exam. To learn more about exam duration and experience, visit: Exam duration and exam experience.

If you fail a certification exam, don’t worry. You can retake it 24 hours after the first attempt. For subsequent retakes, the amount of time varies. For full details, visit: Exam retake policy.

Assessed on this exam

  • Design and prepare a machine learning solution
  • Explore data, and run experiments
  • Train and deploy models
  • Optimize language models for AI applications

Need accommodations?

We offer a variety of accommodations to support you.

Learn More

This exam is offered in the following languages:

English, Japanese, Chinese (Simplified), Korean, German, Chinese (Traditional), French, Spanish, Portuguese (Brazil), Italian

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