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DP-100 Exam topics
Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our DP-100 exam dumps will include the following topics:
- Perform feature engineering 15-20%
- Prepare data for modeling 25-30%
- Develop models 40-45%
- Define and prepare the development environment 15-20%
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What Certificate You Will Get by Passing DP-100
DP-100 syllabus includes concepts of machine learning workloads, handling data experiments, optimizing and managing models, and many more. This is an associate-level test that creates a strong base for candidates' future professional development. This Microsoft exam is associated with the Microsoft Certified: Azure Data Scientist Associate certification. This is the only test that one has to ace to become accredited and is considered the best choice as it has no formal prerequisites & allows specialists to validate their proficiency in utilizing Azure Machine Learning Service and many other related solutions.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
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Microsoft DP-100 Korean Exam Syllabus Topics:
| Section | Objectives |
| Explore and analyze data | - Perform exploratory data analysis
- Ingest and prepare data for modeling
|
| Optimize and manage models | - Track experiments and manage model lifecycle
- Improve model performance
|
| Design and prepare a machine learning solution | - Select appropriate Azure services for machine learning workloads
- Plan and configure Azure Machine Learning workspace
- Manage compute and data assets
|
| Train machine learning models | - Tune hyperparameters and evaluate models
- Train models using Azure Machine Learning
|
| Deploy and consume models | - Deploy models to endpoints
- Monitor deployed models and endpoints
|