Microsoft DP-100 Certification Exam is a comprehensive test designed to assess the candidate's knowledge and expertise in designing and implementing data science solutions on the Azure platform. DP-100J exam is designed for data professionals, data scientists, and developers who want to expand their skill set and validate their knowledge of Azure data services. The DP-100 exam covers a wide range of topics, including data exploration and preparation, modeling, deployment, and monitoring.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
Microsoft DP-100日本語 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Designing and Implementing a Data Science Solution on Azure |
| Exam Number: | DP-100 |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | 1 year |
| Exam Price: | $165 USD |
| Exam Duration: | 100 minutes |
| Passing Score: | 700/1000 |
| Exam Format: | Multiple Choice, Case Study, Drag and Drop, Lab, Interactive Tasks |
| Available Languages: | English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese |
| Related Certifications: | Microsoft Certified: Azure Data Scientist Associate |
| Sample Questions: | Microsoft DP-100日本語 Sample Questions |
| Exam Way: | Online proctored exam or test center delivery through Pearson VUE. |
| Pre Condition: | Candidates should have experience with Azure services, Python programming, and machine learning frameworks such as Scikit-Learn, PyTorch, or TensorFlow. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-100/ |
The Microsoft DP-100J exam covers a wide range of topics, including data exploration and preparation, modeling, deployment, and management of a data science solution on Azure. It also covers topics such as data ingestion, feature engineering, and machine learning algorithms. DP-100J exam is designed to test the candidate's understanding of these topics and their ability to apply them to real-world scenarios.
Microsoft DP-100 exam covers a range of topics related to data science, including understanding business requirements, data exploration and preparation, modeling, training and evaluation of machine learning models, and deployment and management of models. DP-100J exam also covers topics such as feature engineering, model interpretability, and automation of machine learning workflows. DP-100J exam is designed to test the candidate's ability to design and implement end-to-end machine learning solutions that meet business requirements and are scalable, reliable, and secure.
Microsoft DP-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Design and prepare a machine learning solution | 20-25% | - Prepare development environments
|
| Deploy and retrain models | 10-15% | - Monitor deployed models
|
| Explore data and train models | 35-40% | - Run experiments and train models
|
| Prepare a model for deployment | 20-25% | - Manage deployment assets
|
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