Databricks Certified Machine Learning Professional Certification 2024
                     The Databricks 
Certified Machine 
Learning 
Professional 
Certification
This certification exam assesses an individual's advanced skills in utilizing 
Databricks Machine Learning to perform complex machine learning tasks in 
production environments. It covers key areas such as experimentation, model 
lifecycle management, model deployment, and data monitoring.
Exam Overview
Comprehensive Key Focus Areas Practical Orientation
Assessment
The Databricks Certified The exam assesses skills The certification is designed 
Machine Learning across four main domains: to validate real-world 
Professional certification Experimentation, Model machine learning 
exam thoroughly evaluates Lifecycle Management, engineering expertise, not 
an individual's advanced Model Deployment, and just theoretical knowledge.
capabilities in utilizing Solution and Data 
Databricks Machine Monitoring.
Learning for complex 
production tasks.
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Experimentation (30%)
1 Tracking and Versioning 3 Hyperparameter Tuning
Experiments
Showcase expertise in leveraging 
Demonstrate the ability to use Databricks to Databricks' hyperparameter tuning 
track and version machine learning capabilities to efficiently optimize model 
experiments, ensuring reproducibility and performance and find the best set of 
enabling easy comparisons between model hyperparameters.
iterations.
2 A/B Testing and Model Evaluation 4 Feature Engineering and Selection
Exhibit proficiency in conducting A/B testing Demonstrate the ability to engineer and 
and comprehensive model evaluation to select the most relevant features for 
assess the effectiveness and suitability of machine learning models, optimizing model 
machine learning models for production performance and interpretability.
deployment.
Model Lifecycle 
Management (30%)
1 Model Development
Develop and train machine learning models using 
Databricks MLflow for end-to-end model tracking, 
versioning, and registry.
2 Model Validation
Evaluate model performance, validate model inputs and 
outputs, and ensure models meet business requirements.
3 Model Deployment
Deploy trained models to production environments securely 
and efficiently using Databricks Model Serving.
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Model Deployment 
(25%)
This section of the Databricks Certified Machine Learning 
Professional exam focuses on the candidate's ability to 
effectively deploy machine learning models in production 
environments. This includes strategies for packaging and 
versioning models, integrating models into production 
systems, and automating the deployment process.
Candidates will be assessed on their knowledge of 
containerization, CI/CD pipelines, and monitoring solutions 
to ensure the reliability and performance of deployed 
models.
Solution and Data 
Monitoring (15%)
The Databricks Certified Machine Learning Professional exam assesses your ability 
to build robust monitoring solutions that detect data drift and other anomalies in 
production machine learning systems. This includes implementing techniques to 
continuously monitor data quality and model performance over time, as well as 
setting up alerting mechanisms to proactively identify issues.
Key Skills Assessed
Experimentation Model Lifecycle Model Solution 
Management Deployment Monitoring
Ability to track, Skills in managing the Expertise in Ability to build 
version, and manage full model lifecycle, implementing strategies monitoring solutions to 
machine learning from development to for deploying machine detect data drift and 
experiments, including production learning models in ensure model 
model tuning and deployment and production performance in 
feature engineering. monitoring. environments. production.
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Exam Preparation Tips
 Familiarize yourself with the exam structure and topics 
covered to develop a targeted study plan.
 Practice solving sample questions and hands-on exercises 
to build confidence and identify areas for improvement.
 Stay up-to-date with the latest Databricks ML features and 
best practices through online tutorials and industry 
resources.
Certification Benefits
$100K+ 50% 80%
Potential Salary Increase Higher Earning Potential More Job Opportunities
Earning the Databricks Certified Machine Learning Professional certification can provide significant benefits 
for your career. Certified individuals can demand higher salaries, with potential increases of $100K or more. 
They also enjoy a 50% higher earning potential compared to non-certified peers. Additionally, this 
certification opens doors to 80% more job opportunities in the field of advanced machine learning 
engineering.
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Maintaining Certification
To maintain the Databricks Certified Machine Learning 
Professional certification, individuals must recertify every two 
years. This demonstrates continued expertise and keeps skills up-
to-date with the latest Databricks innovations. The certification 
validates advanced machine learning engineering capabilities that 
are essential for successful data-driven enterprises.
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