Databricks Certified Machine Learning Associate

What you actually do

The 48 scored items cover AutoML, Unity Catalog, MLflow, feature engineering, model training and deployment. Course attendance and six months of practical experience are highly recommended, along with working knowledge of the named Python and ML tools, but no prerequisite is required. Four self-paced preparation courses are listed separately; their inclusion in the exam fee is not established.

Start by distinguishing a basic ML assessment from a programme that teaches the skills. This exam checks work on Databricks across preparation, development and deployment. The reviewed source does not establish the recommended courses as included in the exam registration fee. Registration also does not guarantee that you already have the practical background those tasks require. The separate training list is relevant when planning preparation, while the examination fee answers the narrower question of registration.

The basic-task scope also helps you compare Associate with Professional. A practitioner seeking assessment of enterprise-scale production responsibilities may need a different examination. Conversely, a candidate working on the foundational Databricks tasks should not assume that the more advanced title is automatically a better match. Choose according to the work you want assessed, rather than interpreting credential names as a universal ranking.

The tool context matters for the same reason. Python, scikit-learn, SparkML and Unity Catalog familiarity support the named workflow, but the guide's recommendations do not create a mandatory prior certificate. Review what you can already do with the relevant tools and where you need practice. That can help frame a study plan without converting six months of recommended experience into a fixed admission rule.

Finally, keep the assessment duration separate from your preparation. A 90-minute sitting says how long the test takes, not how many hours a learner needs to become comfortable with the material. Neither an unstated passing threshold nor a short exam duration provides a reliable shortcut for estimating that work.

Official source · 2026-10-12

Before you start

No prerequisite required. Course attendance and six months of hands-on experience are highly recommended, with working Python, scikit-learn, SparkML, Unity Catalog and related data-management knowledge.

Official source · 2026-09-25

Curriculum

The Associate exam's 90-minute sitting is distinct from study preparation. Its domain outline and separately recommended training courses do not provide a complete preparation-time estimate or a calculated learning-hour split.

US price

Official source · 2026-09-25

Alternatives

The alternatives contrast more advanced Databricks ML responsibilities with an AWS engineering assessment. Shared ML terminology does not make the platform-specific work identical. Compare the intended tasks and practical background before the price, and read the credential conditions for whichever assessment matches your goal. The appropriate choice depends on your present responsibilities and the platform tasks you want formally assessed.

Databricks Certified Machine Learning Professional

Official source · 2026-09-07

Official source · 2026-10-06 | Official source · 2026-09-07 | Official source · 2026-09-23

AWS Certified Machine Learning Engineer - Associate

Official source · 2026-09-06

Official source · 2026-10-13 | Official source · 2026-09-06 | Official source · 2026-10-03

• Databricks provider profile
• Compare credential routes
• Registry price landscape
• 365 ai model deployment aws vs databricks certified machine learning associate
• aws certified generative ai developer professional vs aws certified machine learning engineer associate mla c01

Questions before enrolling

Change log

• 2026-09-07: Initial recorded review of official exam, scope, price and credential facts. · Source