Azure Data Scientist (DP-100) Certification Guide

The DP-100 certification validates your ability to design and implement data science solutions using Azure Machine Learning.

Exam Overview

Aspect	Details
Exam Code	DP-100
Duration	120 minutes
Questions	40-60 questions
Passing Score	700/1000
Cost	$165 USD

Exam Domains

Design ML Solutions (30-35%)

• ML approach selection
• Solution requirements

Explore Data (25-30%)

• Data exploration
• Feature engineering

Train Models (20-25%)

• Model training
• Hyperparameter tuning

Deploy and Manage (20-25%)

• Model deployment
• MLOps

Azure ML Example

from azureml.core import Workspace, Experiment, Dataset
from azureml.train.automl import AutoMLConfig

ws = Workspace.from_config()

automl_config = AutoMLConfig(
    task='classification',
    training_data=train_data,
    label_column_name='target',
    primary_metric='accuracy',
    iterations=10,
    compute_target='cpu-cluster'
)

experiment = Experiment(ws, 'automl-classification')
run = experiment.submit(automl_config)

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