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Officially, there is no prior work-experience or educational expertise related to DP-100 exam. Anyone, willing to make it big in the world of data science, can go for it. However, industry pundits say that beginner-level expertise in concepts like running data experiments and machine learning will make the exam journey a lot more simplified and easy to accomplish.
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The benefit in Obtaining the DP-100 Exam Certification
- Organization owners invest a lot in their employees when it comes to their training with the goal of making them quicker, more efficient, and more knowledgeable about their role. Certified Professional will reduce the time he spends on tasks, meaning he can get more done this could help reduce company downtime when repairing faults on a system or fixing hardware problems.
- When Candidates applying for a job or looking to promotion in their current position, a Microsoft Certified Azure Data Scientist Associate certification in the field in which Candidates are applying will put you at the top of the list and make them a desirable candidate for employers.
- Candidates will get in-depth knowledge by completing the courses along with the access to revision materials for 6 months upon completion means they will have a wider skill set when it comes to the various technologies and systems than an uncertified professional. Certified Professional in this particular skill set is 74% more efficient when it comes to completing their tasks in a timely well-executed manner.
- Becoming Microsoft Certified Azure Data Scientist Associate means one thing you are worth more to the company and therefore more to yourself in the form of an upgraded pay package. On average a Microsoft Certified Azure Data Scientist Associate member of staff is estimated to be worth 30% more to a company than their uncertified professionals.
- After completion of Microsoft Certified Azure Data Scientist Associate Certification candidates receive official confirmation from Microsoft that you are now fully certified in their chosen field. This can be now added to their CV, cover letters and job applications.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
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Microsoft DP-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Prepare a model for deployment | 20-25% | - Manage deployment assets
- 1. Register models
- 2. Create inference configurations
- Deploy machine learning models
- 1. Deploy batch inference pipelines
- 2. Deploy real-time inference endpoints
|
| Deploy and retrain models | 10-15% | - Monitor deployed models
- 1. Track data drift
- 2. Monitor model performance
- Implement retraining pipelines
- 1. Manage ML pipelines
- 2. Create scheduled retraining workflows
|
| Design and prepare a machine learning solution | 20-25% | - Prepare development environments
- 1. Configure environments
- 2. Use SDKs and notebooks
- Design an Azure Machine Learning workspace
- 1. Configure security and access
- 2. Manage compute resources
- 3. Configure workspace resources
|
| Explore data and train models | 35-40% | - Run experiments and train models
- 1. Use automated machine learning
- 2. Perform hyperparameter tuning
- 3. Track experiments
- Optimize model performance
- 1. Improve accuracy and performance
- 2. Evaluate models
- Prepare data for modeling
- 1. Manage datasets and datastores
- 2. Ingest and transform data
|