Candidates for this exam should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure.
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; and managing, deploying, and monitoring scalable machine learning solutions.
A candidate for this exam should have knowledge and experience in data science by using Azure Machine Learning and MLflow.
You may be eligible for ACE college credit if you pass this certification exam. See ACE college credit for certification exams for details.
The English language version of this exam was updated on October 18, 2022. Please download the study guide listed in the “Tip” box to see the current skills measured. If a localized version of this exam is available, it will be updated approximately eight weeks after this date. While Microsoft makes every effort to update localized versions as noted, there may be times when the localized versions of this exam are not updated on this schedule.
Passing score: 700. Learn more about exam scores.
Part of the requirements for: Microsoft Certified: Azure Data Scientist Associate
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- The English language version of this exam was updated on October 18, 2022. Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
- Design and prepare a machine learning solution (20–25%)
- Explore data and train models (35–40%)
- Prepare a model for deployment (20–25%)
- Deploy and retrain a model (10–15%)
Two ways to prepare
Azure data scientists have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure.
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