The Databricks Certified Machine Learning Associate is an entry-level certification that proves you can build, track, and deploy machine learning models on the Databricks Lakehouse Platform using AutoML, MLflow, and Unity Catalog Feature Store.
Questions:48 (multiple-choice, Python-based)
Duration: 90 minutes
Passing score: 70%
Cost: $200 USD
Validity: 2 years
Prerequisite: None required (6+ months hands-on experience recommended)
Next step: Databricks Certified Machine Learning Professional
Pass the Databricks Certified Machine Learning Associate exam on your first attempt with TroyTec's verified practice questions — PDF, Online Test Engine, and AI-Assisted formats included.
Certification: Databricks Certified Machine Learning Associate
Format: 48 multiple-choice questions (Python-based)
Duration: 90 minutes
Passing score: 70%
Exam cost: $200 USD
Delivery: Online, proctored
Validity: 2 years
Prerequisites: None required; 6+ months hands-on Databricks ML experience recommended
Structured around the 4 official exam domains:
Databricks Machine Learning — 38% — the largest domain: AutoML, Unity Catalog Feature Store, MLflow tracking and model registry, ML runtimes
Model Development — 31% — data exploration, feature engineering, algorithm selection, Spark ML pipelines, Hyperopt tuning, cross-validation
ML Workflows — 19% — data processing tasks: imputation, encoding, transformations, MLOps best practices
Model Deployment — 12% — batch, streaming, and real-time inference; Mosaic AI Model Serving endpoints
Databricks Machine Learning and Model Development alone make up nearly 70% of the exam — that's where the bulk of your prep time should go.
ML engineers and data scientists new to the Databricks platform
Candidates researching "machine learning engineer certification" paths who want a recognized, vendor-specific credential
Anyone using this as a stepping stone toward the Databricks Certified Machine Learning Professional exam
Data professionals working with MLflow, AutoML, or Unity Catalog who want to formalize their skills
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Practice scenario-based questions covering AutoML workflows, MLflow model registry stages (staging → production), and feature engineering decisions
Use AI-Assisted mode to get instant, plain-language explanations for any Spark ML, Hyperopt, or deployment question you miss
Track domain-level readiness so you know exactly where to focus before exam day
Is there an exam code for Databricks Certified Machine Learning Associate?
Databricks doesn't issue a public exam code; some platforms informally reference it as "DATABRICKS-ML-ASSOCIATE" for tracking purposes only.
How many questions are on the exam, and how much time do I get?
48 multiple-choice questions in 90 minutes, with a 70% passing score required.
What programming language does the exam use?
Python for all machine learning code; some data manipulation tasks may use SQL.
How is this different from the Databricks Certified Machine Learning Professional exam?
Associate tests foundational ML tasks (AutoML, basic model development and deployment). Professional goes deeper into advanced MLOps, model monitoring, and production-scale deployment — 60 questions over 120 minutes.
Do I need prior Databricks experience to pass?
No formal prerequisite, but 6+ months of hands-on Databricks ML experience is strongly recommended before attempting the exam.
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Everything you need to know about the Databricks Certified Machine Learning Associate certification
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Updated July 15, 2026
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