Data engineering
Building and running pipelines on the platform.
Data Engineer Associate · Data Engineer Professional
Databricks certifications
Databricks doesn't publish a pass mark, so we draw an assumed line and mark it as ours. Practise by domain, take realistically weighted mocks, and get a readiness range that becomes more precise as you answer more questions. Start free.
Free practice across every Databricks exam we cover. No card required.
A partner drops JSON files into a cloud storage location on no fixed schedule. Some days it is 50 files; some days it is 50,000. The partner adds fields to the JSON without warning. The pipeline must process only files it has not already processed, and it must not fail when an unexpected field appears. Which ingestion approach meets both requirements?
Select one.
One choice only. Your earliest pick was dropped.
Where this question sits in the exam
Data Ingestion and Loading is 21% of the Data Engineer Associate exam. Our mocks use the same mix.
Every option is explained, including the wrong ones — that's what the free tier is. Original items written against each exam's published guide, not real exam questions.
Scoring
Most vendors tell you the line. Databricks publishes the domains, the question count and the time limit, and stops there. The figure you'll see quoted in most places isn't in the exam guide.
We still have to put a line somewhere, because a readiness read means nothing without one. So we assume 80% weighted accuracy and mark it as an assumption every time it appears. We set it high on purpose: too strict costs you a week, too lenient costs you the fee.
Some questions on your form aren't scored. Databricks includes unscored items to gather statistics for future exams, doesn't identify them, and builds extra time into the limit to account for them — so answer everything and don't try to spot them.
Code on these exams appears in SQL wherever SQL can express the concept, and in Python where it can't. Scala isn't required.
Retakes are charged at the full fee. There's no reduced second attempt.
Accuracy by domain, weighted as the exam weights them · assumed 80% — ours, not Databricks'
The line on the chart is ours, because Databricks doesn't publish one. What you can also see is which domain is furthest behind the others, which is the actionable half anyway.
Two years is short for a platform that ships this fast. Databricks requires recertification to keep your status, and recertifying means sitting the current version — for some exams there's a shorter renewal exam covering the same ground, for others it's the full thing again.
Either way the guide will have moved. Features that didn't exist when you certified are on the form, and topics you revised for may be gone. Recertification isn't a refresher on what you already knew; it's a new exam with your old credential attached to it.
That's the case we're built for. Practice stays free between attempts, so the two years before your next sitting cost you nothing.
Where to start
Building and running pipelines on the platform.
Data Engineer Associate · Data Engineer Professional
Databricks SQL, dashboards, AI/BI Genie spaces and governed access to data you didn't model yourself. English only — unlike the data engineering exams.
Data Analyst Associate
Training, tracking and deploying models with MLflow and the platform's ML tooling.
Machine Learning Associate · Machine Learning Professional
Retrieval, evaluation and deployment of LLM applications on Databricks.
Generative AI Engineer Associate
The DataFrame API itself, rather than the platform around it.
Associate Developer for Apache Spark
Exams
Databricks revises these guides often. Cards we have re-checked against the official guide show that date, and the practice behind them follows whatever that guide said on that date.
Foundational pipeline work on the platform: ingestion, ETL with Spark SQL and PySpark, Delta Lake, Lakeflow Jobs, CI/CD, governance with Unity Catalog. No formal prerequisite; Databricks recommends hands-on experience with the tasks in the guide.
Checked 18 Sept 2026
45 scored · 90 minutes
Advanced pipeline design, optimisation, monitoring, security and deployment. Assumes the Associate content rather than requiring the credential.
Checked 18 Sept 2026
59 scored · 120 minutes
Training, tracking and deploying models with MLflow and the platform's ML tooling. AutoML, Feature Engineering in Unity Catalog and MLflow are a named domain of their own — 38% of the form.
Checked 19 Sept 2026
48 scored · 90 minutes
The senior ML credential on the platform. Model Development and ML Ops are 44% each; Model Deployment is 12%.
Checked 19 Sept 2026
59 scored · 120 minutes
Databricks also offers accreditations — free, unproctored, shorter. They're worth doing and they aren't certifications; they don't carry the same weight with employers and they aren't what this page covers.
Pricing
One subscription covers the Databricks certifications, AWS, the Microsoft certifications, the Salesforce certifications, the Claude certifications, TOEFL, IELTS and the SAT.
Exam fees are separate and go to Databricks. We're prep, not registration.
Start practicing for freeFAQ
Free practice across every Databricks exam we cover, no card. The timed mocks and the readiness read are there when you want them.
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