CertPath Score
8.4
/10
About this certification
DP-100 validates skills in designing and implementing machine learning solutions using Azure Machine Learning. It covers data ingestion and preparation, model training and evaluation, MLOps pipelines, and responsible AI practices. Strong for data scientists working in Azure environments.
What you'll validate
- ✓Azure Machine Learning workspace
- ✓Data preparation and feature engineering
- ✓Model training and hyperparameter tuning
- ✓MLOps pipelines with Azure ML
- ✓Responsible AI practices
- ✓Model deployment and monitoring
Pros & Cons
Advantages
- +Validates full ML lifecycle on Azure
- +Affordable at $165 with free annual renewal
- +Strong for data scientists in enterprise Azure environments
Disadvantages
- −Azure-specific — less transferable than AWS ML or GCP ML
- −Annual renewal required
Who it's for
Best for
- →Data scientists in Azure-centric organizations
- →ML engineers building pipelines on Azure ML
Not ideal for
- ×Those in AWS/GCP environments
- ×Non-coders
Career paths this unlocks
Study Resources
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Jobs for DP-100 holders
DP-100 holders report $10k–$30k+ salary uplift on average.
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Quick Facts
- Exam Cost
- $165
- Exam Duration
- 100 minutes
- Questions
- ~60
- Passing Score
- 700/1000
- Exam Format
- Multiple Choice
- Study Time
- ~150 hours
- Validity
- 1 years
- Salary Impact
- Strong ($10k–$30k+ uplift reported)
Prerequisites
- !Python proficiency; ML fundamentals; Azure fundamentals recommended
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