certification
Databricks Certified Machine Learning Associate
Source-cited RoleMath page about Databricks Certified Machine Learning Associate.
Check if you’re ready ↓Researched by RoleMath Research. Every figure on this page traces to the official source shown next to it.
A reasonable entry point — being new to the topics is expected here.
Databricks Machine Learning Associate is a foundational exam Databricks writes for people starting out. It is a recognized first credential; use the objective domains below as your study outline. RoleMath Difficulty methodology
Who this certification is designed for
The vendor’s stated audience, plus an honest fit for your starting point. No pass rates, no guarantees.
Per Databricks: Course attendance and six months of hands-on experience performing the exam-outline tasks are highly recommended. Databricks Machine Learning Associate — official vendor page
None required; related training/course attendance recommended. The readiness record treats this as beginner-suitable, with a Moderate exam-structure band.
Eligibility source Recommended background and registration boundary Official credential page Official eligibility source Official exam structure source
None required; related training/course attendance recommended. For someone already in IT, the cited background recommendation is the main planning check: Course attendance and six months of hands-on experience performing the exam-outline tasks are highly recommended.
Eligibility source Recommended background and registration boundary Official credential page Official eligibility source Official exam structure source
None required; related training/course attendance recommended. Student fit is supported only as planning context from eligibility and any ACE-credit flag; the exam remains Moderate by structure.
Eligibility source Recommended background and registration boundary Official credential page Official eligibility source Official exam structure source Workforce Pell planning source
None required; related training/course attendance recommended. Veteran fit is planning context from eligibility, DoD-baseline flags when present, and GI Bill test-fee reimbursement evidence.
Eligibility source Recommended background and registration boundary Official credential page Official eligibility source Official exam structure source GI Bill licensing and certification test reimbursement
Funding to check: exam and prep costs may be reachable through vouchers, WIOA, Workforce Pell, GI Bill, or employer education assistance — eligibility depends on your location, provider, and status. Compare funding options →
Difficulty profile
A cited estimate of what the exam requires, split into two honest lenses — not one number, not a pass rate. RoleMath Difficulty methodology
These are exam-structure lenses, not a pass rate or anything about you.
Cost & upkeep
Exam fee plus what it takes to keep it — the recurring cost most pages hide.
- Exam voucher (US)
- $200 Databricks Machine Learning Associate — official vendor page
- 3-year self-study cost
- $200
No ROI math here — we never compare cost to a salary. training;renewal still needs verification. See the full cost breakdown →
Skills measured
The official objective domains and their exam weight — titles & weights only, straight from the vendor’s exam objectives. Databricks Machine Learning Associate — official vendor page
This vendor does not publish exam-domain weightings, so the domains are shown unweighted.
Prerequisites
What's required vs merely recommended — stated plainly.
- Hard requirement
- None — open registration Databricks Machine Learning Associate — official vendor page
“Recommended” is the vendor’s guidance, not a gate — you can register today.
Every figure on this page, sourced
The claims above trace to these records — the source, and when it was last checked. If a figure has no row here, we did not publish it.
| ID | Supports | Source | Checked |
|---|---|---|---|
| SCHEMA-CIT-1 | Schema citation | Machine Learning Associate Certification Page | Logged in source packet |
| SCHEMA-CIT-2 | Schema citation | Official Databricks weighted objective source | Logged in source packet |
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