Microsoft DP-100 Korean : Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version)

  • Exam Code: DP-100 Korean
  • Exam Name: Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version)
  • Updated: Sep 13, 2026   Q&As: 528 Questions and Answers

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Microsoft Designing and Implementing a Data Science Solution on Azure Exam Certification Details:
Exam NameMicrosoft Certified - Azure Data Scientist Associate
Duration120 mins
Schedule ExamPearson VUE
Passing Score700 / 1000
Exam Price$165 (USD)
Number of Questions40-60
Books / TrainingDP-100T01-A: Designing and Implementing a Data Science Solution on Azure
Sample QuestionsMicrosoft Designing and Implementing a Data Science Solution on Azure Sample Questions
Exam CodeDP-100

Passing the Microsoft DP-100: Designing and Implementing a Data Science Solution on Azure exam is the major requirement for earning the Microsoft Certified: Azure Data Scientist Associate certification. This test measures the ability of the professionals to execute the following technical tasks: setting up an Azure Machine Learning workspace; running experiments & train models; optimizing and handling models; deploying and consuming models.

Career Opportunities & Salary Outlook

The demand for the certified professionals is on the increase. As an Azure Data Scientist, you can explore many employment opportunities. So, if you want to boost your career potential, pursuing the Microsoft Certified: Azure Data Scientist Associate certification is the right step. To get this certificate, you have to pass the qualifying exam, which is Microsoft DP-100. With this associate-level certification, you can get the positions, such as a Data Scientist, a Senior Data Scientist, a Data Science Manager, and a Data Science Director. The average salary for these job roles is $135,000 per annum. With advanced experience, the specialists can earn up to $170,000 per year.

DP-100 Exam Target Audience

Candidates with permission to take DP-100 exam are those aspiring to become Azure data scientists and have formed huge knowledge in both data science and machine learning workloads based on Azure.

Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx

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Microsoft DP-100 Korean Exam Syllabus Topics:
SectionWeightObjectives
Design and prepare a machine learning solution20-25%- Design an Azure Machine Learning workspace
  • 1. Configure workspace resources
  • 2. Configure security and access
  • 3. Manage compute resources
- Prepare development environments
  • 1. Configure environments
  • 2. Use SDKs and notebooks
Explore data and train models35-40%- 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
- Run experiments and train models
  • 1. Track experiments
  • 2. Use automated machine learning
  • 3. Perform hyperparameter tuning
Prepare a model for deployment20-25%- 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 models10-15%- Implement retraining pipelines
  • 1. Create scheduled retraining workflows
  • 2. Manage ML pipelines
- Monitor deployed models
  • 1. Track data drift
  • 2. Monitor model performance

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