The Databricks Certified Machine Learning Associate is best understood for what it actually is, which is a platform proficiency exam rather than a machine learning theory exam. It certifies that you can use Databricks and its machine learning tooling to get real work done, and the blueprint reflects that, leaning on the Databricks ML workflow, experiment tracking and model management with MLflow, automated model building with AutoML, feature management through the Feature Store, and the Spark based data preparation that underpins all of it. If you go in expecting to be quizzed on the mathematics of gradient descent you will be surprised, because the exam cares far more about whether you know how to operate the platform than whether you can derive an algorithm. That framing is the key to judging its worth.
Databricks is enormously popular in enterprise data teams, so being able to prove fluency with its stack is a genuinely marketable signal, and the ninety minute associate exam is achievable in a month or two of focused study if you already have the prerequisites. Those prerequisites matter though, because this assumes you arrive with working Python, some Spark familiarity and a basic grounding in machine learning concepts, so it is not an on ramp for beginners. The official preparation through Databricks Academy is decent but can feel a little thin in places, and as with most vendor certifications, plenty of candidates lean on third party practice questions to get comfortable with the exam's phrasing before sitting it. The two hundred dollar fee is standard for this tier.
The honest limitation is portability, and it is the same story as any platform badge. This proves you know Databricks, and that knowledge is worth a lot inside the many companies that run on it and considerably less at a shop built on a different stack. My take is that this is a sensible, targeted certification if Databricks is part of your working world or the roles you are chasing, and a poor use of time if it is not. Match it to where you actually want to work and it earns its keep.