Databricks runs 7 certifications, 5 at the Associate level and 2 at the Professional level, and every single one costs $200, requires a 70 percent passing score, and stays valid for 2 years, making cost and format the least useful factors when deciding which one to take first. Official exam guides and registration live on Databricks’ certification page.
The direct answer: Start with Data Engineer Associate if you’re new to the platform; it’s the most commonly held Databricks certification and the one most study paths assume you’ll take first. Move to Machine Learning Associate or Data Analyst Associate if your work leans ML or SQL-based analytics specifically. Generative AI Engineer Associate is currently the fastest-growing certification in the catalog, reflecting how quickly organizations are building production GenAI applications on lakehouse architectures. Professional-level exams assume roughly a year of hands-on production experience and shouldn’t be your entry point.
The Full Catalog
| Certification | Level | What It Validates | Cost |
| Data Engineer Associate | Associate | Core ETL with Spark SQL and PySpark, Delta Lake, Unity Catalog, Workflows | $200 |
| Data Analyst Associate | Associate | Databricks SQL, dashboards, data visualization, Unity Catalog | $200 |
| Machine Learning Associate | Associate | End-to-end ML workflows using AutoML, Feature Store, MLflow, Spark ML | $200 |
| Generative AI Engineer Associate | Associate | Building and deploying GenAI solutions including RAG pipelines and LLM fine-tuning | $200 |
| Associate Developer for Apache Spark | Associate | Vendor-neutral Spark DataFrame API skills, applicable beyond Databricks specifically | $200 |
| Data Engineer Professional | Professional | Advanced design, optimization, governance, monitoring, and deployment | $200 |
| Machine Learning Professional | Professional | Advanced model development, MLOps, and controlled deployment | $200 |
Important: Associate Developer for Apache Spark is genuinely different from the other Associate exams. It tests core Spark programming concepts that apply on AWS EMR, Azure HDInsight, Google Dataproc, or any Spark environment, not Databricks-specific features. If your goal is Databricks-specific expertise, this credential proves something narrower than its name suggests. If you’re also weighing a competing data platform certification, see our Snowflake SnowPro Core Certification Guide for how that ecosystem compares.
Format, Across Every Exam
| Detail | Value |
| Cost | $200 per exam, all 7 |
| Passing score | 70 percent, all 7 |
| Validity | 2 years, all 7 |
| Delivery | Online proctored via Webassessor, Kryterion, or a physical test center |
| Language availability | 5 exams available in Japanese, Generative AI Engineer and Apache Spark Developer are currently English-only |
| Exam blueprint updates | Roughly annual, ML Associate added MLflow 3 in the 2026 revision |
Note: Databricks updates exam blueprints periodically, not on a fixed public schedule. If you’re studying from materials more than a year old, confirm the current blueprint against Databricks’ own certification page before assuming the content still matches.
Domain Weighting for the 2 Newest, Highest-Demand Exams
| Generative AI Engineer Associate Domain | Weight |
| Application Development | 30 percent |
| Assembling and Deploying Applications | 22 percent |
| Design | 14 percent |
| Data Preparation | 14 percent |
| Evaluation and Monitoring | 12 percent |
| Governance | 8 percent |
| Machine Learning Professional Domain | Weight |
| Model Development | 44 percent |
| ML Ops | 44 percent |
| Model Deployment | 12 percent |
Key point: Machine Learning Professional splits almost evenly between Model Development and ML Ops, meaning candidates strong in one but weak in the other will consistently underperform. This is a genuinely different weighting pattern than the Associate-level exams, which tend to spread more evenly across a longer list of smaller domains. If you’re building GenAI applications specifically and want to compare this credential against model-vendor-specific alternatives, see our Claude Certification Path guide, which covers Anthropic’s own developer and architect-level credentials.
What Certification Actually Pays
Glassdoor’s 2026 figures put the average Databricks Data Engineer salary at $133,130 a year, with a range from $104,368 up to $171,580 for senior roles. Databricks’ own research, cited across multiple 2026 guides, states certified professionals earn 15 to 30 percent more than non-certified peers in equivalent roles, though that figure comes from the vendor itself rather than an independent source, so treat it as directional rather than an exact promise.
The honest read: Data Engineer Professional and Machine Learning Professional holders land at the higher end of these ranges specifically, consistent with the deeper, production-grade scope of those exams compared to their Associate-level counterparts. If you’re deciding between Databricks-specific certification and a broader cloud data engineering path, see our AWS Certification Path guide for how AWS’s own Data Engineer Associate credential compares.
Ways to Reduce What You Pay
| Path | Discount | Eligibility |
| Customer Academy Learning Festival | 50 percent off | Runs roughly twice a year, open enrollment during the window |
| Partner Academy | Varies by partner tier | Employees of active Databricks partner firms, including firms like Deloitte and Accenture |
| Data + AI Summit attendee perks | Varies year to year | Conference attendees, changes annually |
Important: These discount vouchers generally can’t be stacked with each other. If you’re eligible for more than one, pick the single best offer rather than assuming you can combine them.
Choosing Your Starting Point
| Your Background | Start With |
| New to Databricks, coming from a general data or analytics role | Data Engineer Associate |
| SQL-focused, limited Python or engineering background | Data Analyst Associate, the most approachable of the 7 |
| Data science background moving into ML specifically | Machine Learning Associate |
| Building production GenAI applications right now | Generative AI Engineer Associate |
| Already using Spark outside Databricks and want vendor-neutral proof | Associate Developer for Apache Spark |
| 1 or more years of hands-on Databricks production experience | Data Engineer Professional or Machine Learning Professional, depending on your track |
Most tracks expect you to earn the Associate-level credential before attempting Professional, though Databricks doesn’t formally block you from attempting Professional directly if you already have the underlying experience.
Common Mistakes When Planning Your Databricks Path
Assuming Associate Developer for Apache Spark proves Databricks-specific expertise. It tests general Spark programming skills applicable to any Spark environment, which is valuable but different from what employers screening for Databricks platform experience specifically are looking for.
Attempting Professional-level exams without the roughly year of hands-on experience they assume. Both Professional exams add scenario questions on production patterns, performance, security, and CI/CD, that study materials alone don’t fully prepare you for.
Studying from a blueprint more than a year old without checking for updates. Databricks revises exam content periodically, and the 2026 addition of MLflow 3 to the ML Associate blueprint is a recent example of content shifting without a major version-number change to announce it.
Assuming certification vouchers stack. Customer Academy, Partner Academy, and conference-based discounts generally don’t combine, so plan around whichever single offer applies to you.
FAQS
Which Databricks certification should I take first?
Data Engineer Associate, the most commonly held Databricks certification and the standard starting point most study paths assume.
How much does a Databricks certification cost?
$200 per exam across all 7 certifications, with periodic discount vouchers available through Databricks’ Customer Academy Learning Festival, Partner Academy, or Data + AI Summit attendance.
Do I need the Associate certification before attempting Professional?
Not formally required, but Professional-level exams assume roughly a year of hands-on production experience that most candidates build through Associate-level work first.
What is the fastest-growing Databricks certification?
Generative AI Engineer Associate, reflecting rapid organizational adoption of production GenAI applications built on lakehouse architectures.
How is Associate Developer for Apache Spark different from the other Associate exams?
It tests vendor-neutral Spark programming concepts applicable to any Spark environment, not Databricks-specific platform features, making it valuable but narrower in scope than its Associate-level siblings.
How long is a Databricks certification valid?
2 years across all 7 certifications, after which recertification is required.
Do certified Databricks professionals actually earn more?
Databricks’ own research states certified professionals earn 15 to 30 percent more than non-certified peers in equivalent roles, though this figure comes from the vendor rather than an independent source.
What is the passing score for Databricks certifications?
70 percent across all 7 exams.
Can I take Databricks certifications outside English?
5 of the 7 exams are available in Japanese. Generative AI Engineer Associate and Associate Developer for Apache Spark are currently English-only.
Is there a way to get a discount on Databricks exam fees?
Yes, through the Customer Academy Learning Festival, which runs roughly twice a year at 50 percent off, Partner Academy access for employees of Databricks partner firms, or occasional Data + AI Summit attendee perks, though these generally can’t be combined.
