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Designing and Implementing a Data Science Solution on Azure – DP-100 Practice Tests

The Designing and Implementing a Data Science Solution on Azure exam, specifically tailored for Azure data scientists, is a critical pathway to achieving the Microsoft Certified Azure Data Scientist Associate certification.

The DP-100 exam is designed for Azure data scientists and is a key step towards becoming a Microsoft Certified Azure Data Scientist Associate, focusing on data science and machine learning implementations on Azure.

Candidates are expected to be adept in designing environments for data science workloads, exploring data, training models, implementing pipelines, and managing scalable solutions, including deployment and monitoring.

Essential knowledge for this exam includes expertise in Azure Machine Learning and MLflow.

The DP-100 practice tests cover the same topics in the exact percentages as the real exam, making sure you’ll get that badge as soon as possible.

  • Design and prepare a machine learning solution (20–25%)
  • Explore data and train models (35–40%)
  • Prepare a model for deployment (20–25%)
  • Deploy and retrain a model (10–15%)
  • Unlimited Practice Tests
  • Each Practice Test consists of 45 questions split percentage-wise by topic and then randomly generated
  • View the correct answers with their corresponding explanations