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Schedule exam
Languages: English, Japanese, Chinese (Simplified), Korean
Retirement date: none
This exam measures your ability to accomplish the following technical tasks: manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions; and implement responsible machine learning.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
Difficulty in writing DP-100 Exam
Microsoft Certified Azure Data Scientist Associate Certification exam has a higher rank in the Information Technology sector. Candidate can add the most powerful Microsoft DP-100 certification on their resume by passing Microsoft DP-100 exam. Microsoft DP-100 is a very challenging exam Candidate will have to work hard to pass this exam. With the help of TestInsides provided the right focus and preparation material passing this exam is an achievable goal. TestInsides provide the most relevant and updated Microsoft DP-100 exam dumps. Furthermore, We also provide the Microsoft DP-100 practice test that will be much beneficial in the preparation. Our aims to provide the best Microsoft DP-100 pdf exam dumps. We are providing all useful preparation materials such as Microsoft DP-100 exam dumps that had been verified by the Microsoft experts, Microsoft DP-100 braindumps and customer care service in case of any problem. These are things are very helpful in passing the exam with good grades.
Microsoft DP-100日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Optimize and manage models | - Improve model performance - Track experiments and manage model lifecycle |
| Deploy and consume models | - Deploy models to endpoints - Monitor deployed models and endpoints |
| Train machine learning models | - Tune hyperparameters and evaluate models - Train models using Azure Machine Learning |
| Explore and analyze data | - Perform exploratory data analysis - Ingest and prepare data for modeling |
| Design and prepare a machine learning solution | - Plan and configure Azure Machine Learning workspace - Select appropriate Azure services for machine learning workloads - Manage compute and data assets |




