Databricks Data Engineer Associate renewal
The Databricks Certified Data Engineer Associate is valid for two years from the date it is awarded, and the only way to renew it is to take the full current live exam again. If you fail, you may retake as often as you like, but you must wait 14 days between attempts and pay the fee each time. These rules come from the Databricks certification FAQ.
The two-year clock
Databricks words it plainly: a certification is valid for two years from the date it is awarded, and all digital badges associated with its exams expire two years after they were awarded. The date that matters is the award date shown on your badge, not the exam date you booked.
The fee is $200 per the exam page. Compare that with the Professional, which has the same price and the same two-year validity, so neither rung gets a cheaper renewal.
Recertifying means sitting the exam again
There is no refresher course, no continuing-education credit scheme and no shorter renewal assessment. The FAQ states you take “the full current live exam”. Three consequences follow.
- You sit today’s paper. Databricks says there will only ever be one version of each exam, and that the current exam guide is the source of truth for what is tested. The official page links a guide whose address carries a May 2026 date, and the section names (including Lakeflow Jobs) reflect that. If you passed years ago, expect different wording and product names.
- You pay a new fee. Databricks does not publish a discounted renewal price on the pages checked for this article. A community post by Databricks staff mentions a free voucher offered to partner associates during one recertification drive, tied to that campaign. Treat it as history, not an entitlement.
- Passing the Professional does not renew this one. Databricks does not state that a higher exam refreshes a lower one. Each credential keeps its own two-year date, so check both if you hold both.
Because no renewal window is published, there is no advertised “renew early” period. Whether taking the exam before expiry restarts the clock from the new award date, the FAQ does not say. Ask Databricks support if the timing matters for a contract or job requirement.
The 14-day retake rule
| Question | Databricks answer |
|---|---|
| How many attempts? | No cap: retake “as many times as you would like” |
| Waiting period | 14 days between each take |
| Retake fee | Same as the original exam; no free retakes |
| Different name or email to dodge the wait | Prohibited; can lead to denied or revoked certification |
The 14-day interval was announced by Databricks staff as taking effect on 1 November 2023. The terms and conditions say the same: if you do not pass, you can take it again in 14 days, and each attempt needs a new payment.
A practical reading: two weeks is enough time to work through the sections where you were weakest. Use the study plan rather than re-booking at once, because each failed attempt costs $200 and there is no score report detail to guide you beyond what the exam shows.
Results, rescheduling and conflicting rules
- Results. Unofficial results appear at the end of the exam. Databricks reviews passing scores before the badge is posted. The passing score itself is not published, see exam format.
- Failed attempts. The terms say Databricks does not share information about failed attempts with your organisation, though it may tell them about certifications you earn.
- Rescheduling. The FAQ separates online and test-centre exams: more than 24 hours’ notice for an online proctored exam and more than 72 hours for a test centre, otherwise a fee applies. The terms and conditions state 72 hours without that distinction, so for an online exam the two documents differ. Follow the stricter 72 hours unless your booking confirmation says otherwise.
- Technical failure. The terms state registration may be cancelled and fees forfeited if system or internet problems occur or a proctor suspends the exam. Read the exam day checklist before booking an online slot.
- Accommodations. The FAQ page checked does not cover them, so ask through your exam provider account.
What happens if you let it lapse
Databricks does not describe a grace period. An expired credential is simply no longer current; you would register and pass the exam again. Digital badges expire along with it, so remove the badge from signatures and profiles.
Databricks may also change the program, credential requirements and exams at any time without notice, per its terms. The exam changes page tracks shifts of that kind across vendors.
For where the credential leads while it is valid, see career and next steps.