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Microsoft

Microsoft Certified: Azure Data Scientist Associate

The DP-100 certification by Microsoft validates expertise in designing and implementing data science solutions on Azure.

Prüfungscode

DP-100

Offizielle Voraussetzungen

  • Proficiency in Python for data science (pandas, scikit-learn, NumPy)
  • Solid understanding of machine learning fundamentals and evaluation metrics
  • Experience with Azure services: Azure Machine Learning, Azure Databricks, Data Lake Storage
  • Familiarity with data preparation, feature engineering, and model deployment practices
  • Knowledge of cloud architecture, security, and monitoring for ML solutions on Azure
Microsoft Certified: Azure Data Scientist Associate

Gezielte Berufe

Data Scientist Machine Learning Engineer MLOps Engineer Azure Data Engineer AI Solution Architect
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Domain-Blaupause

Die ExamBoot-Simulations-Engine ist mit der offiziellen synchronisiert Prüfungsübersicht. Unsere adaptiven Fragendatenbanken legen Wert darauf, dass Sie Ihre Ziele schnell erreichen..

Provision an Azure Machine Learning workspace; configure workspace settings; manage and maintain the workspace.
Create and run experiments; use the Azure Machine Learning SDK to train models; tune hyperparameters; use Automated Machine Learning for model development.
Deploy models to the Azure cloud; monitor deployed models; use data drift to improve model performance; manage model updates.
Manage batch inferencing and continuous deployment; implement Azure Machine Learning pipelines; enable and manage event-based predictions.

Lerntipp

Hands-on practice: build end-to-end Azure Machine Learning pipelines, optimize models, deploy endpoints, and review official DP-100 exam objectives and practice tests.

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