Azure Data Scientist Associate DP-100
Training
on LMS
Run Batches
Instructors
Simulation
Support
Training
on LMS
Run Batches
Instructors
Simulation
Support
Azure Data Scientist Associate DP-100
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✓
Training Material
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✓
LMS Access
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✓
Hands-On Project Based Learning
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✓
Instructor-Led Virtual Classroom Training
As a candidate for this exam, you should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure.
They also list expected responsibilities, such as designing environments for data science, exploring data, training models, deploying and monitoring solutions, and working with Azure ML, MLflow, and AI services.
- Data science and machine learning concepts
- Azure Machine Learning, MLflow, Azure AI services
- Deploying models, pipelines, and managing production workloads
Microsoft gives a thorough outline of the exam, including:
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Skills domains and their weightage (e.g. Design & prepare a solution (20–25 %), Explore data & run experiments (20–25 %), Train & deploy models (25–30 %)
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Optimize language models (25–30 %)
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Detailed tasks under each domain (e.g. create and manage workspaces, run pipelines, evaluate models, optimize via prompt engineering)
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Exam scoring and passing threshold (score of 700 or greater)
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Notes on exam updates, language support, and accommodations
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