You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
SNOWFLAKESnowflake SnowPro Advanced — Data Scientist
The SnowPro Advanced: Data Scientist certification validates your ability to apply comprehensive data science principles, tools, and methodologies using Snowflake. Designed for experienced data scientists, it covers data science concepts, feature engineering, machine learning, and GenAI/LLM capabilities. Earning this credential demonstrates advanced, production-ready expertise in the Snowflake AI Data Cloud.
DeliveryPearson VUE
Free questions333
Content last reviewed 30 July 2026 · Up to date
The certification
What Snowflake SnowPro Advanced — Data Scientist proves, and what it asks of you
What this certification covers, who it is written for, and what the exam itself looks like on the day.
5domains
14objectives
109concepts
US $375exam fee
What it is
What this certification is
What it validates, who it is written for, and the experience it assumes.
About this certification
The SnowPro Advanced: Data Scientist certification is a role-based credential that validates advanced knowledge and skills for applying comprehensive data science principles, tools, and methodologies using Snowflake. It is part of the SnowPro Advanced series, which assesses the advanced skills used in specific job roles within the Snowflake ecosystem.
This certification tests your ability to outline data science concepts, implement Snowflake data science best practices, prepare data and use feature engineering, train and use machine learning models, and leverage GenAI and LLM capabilities in Snowflake. Earning it demonstrates that you can drive sophisticated data science initiatives on the Snowflake AI Data Cloud.
Who it’s for
This certification is for data scientists who have two or more years of hands-on experience with Snowflake in a production environment. It is designed for professionals who apply data science principles and tools to solve real-world problems using Snowflake. Successful candidates typically have experience with one or more programming languages such as Python, R, SQL, or PySpark, and are comfortable working with machine learning models and GenAI/LLM capabilities within the Snowflake platform.
Recommended experience
Two or more years of hands-on experience with Snowflake as a Data Scientist in a production environment, plus experience with one or more programming languages such as Python, R, SQL, or PySpark. Hands-on experience with Snowflake in a production environment; Experience with one or more programming languages (e.g., Python, R, SQL, PySpark); Familiarity with data science concepts and machine learning workflows
The syllabus
What you’ll learn
Every domain and objective Snowflake measures, with the weight they carry on the exam.
The official Snowflake exam outline · checked 30 July 2026 · See the source
Data Science Concepts
- Define machine learning concepts for data science workloads
- Identify supervised, unsupervised, and reinforcement learning
- Identify machine learning problem types
Data Pipelining
- Build data pipelines for data science workloads
- Ingest and prepare data in Snowflake
Data Preparation and Feature Engineering
- Prepare and clean data
- Engineer features for models
- Handle missing and categorical data
Model Development
- Train models using Snowpark ML
- Evaluate model performance
- Tune model hyperparameters
Model Deployment and Operationalization
- Deploy models in Snowflake
- Operationalize and monitor models
- Use the Snowflake Model Registry
On the day
The exam itself
Everything Snowflake publishes about sitting it, and nothing we inferred.
Prerequisites
No mandatory prerequisites — this certification has no required predecessor exam or credential.
CertificationSnowflake SnowPro Advanced — Data Scientist
DeliveryPearson VUE
LanguagesEnglish
PricingUS $375
After you pass
Where this credential goes next
The path Snowflake lays out, how the credential is kept, and where to book.
Step-by-step path to Snowflake SnowPro Advanced — Data Scientist
Credential earnedSnowflake SnowPro Advanced — Data Scientist Certification Lifecycle status
This certification is currently active and available. Snowflake maintains this certification to validate current skills and industry relevance.
Exam status: ActiveMaintained by Snowflake
Exam registration
Register for the exam through Pearson VUE, Snowflake’s authorized testing partner.
Schedule your examVisit the official Snowflake certification page for exam policies and requirements.
View the official pageYour coach
And when you are serious, your coach Pip takes over
Your coach in the app reads what you have answered with the book closed and tells you one thing to do tonight. It will not count an answer you gave with the page open, and it will tell you when you are not ready.
See how the coach worksBefore you book
Questions people ask
How does the SnowPro Advanced: Data Scientist exam relate to the SnowPro Core Certification?
The SnowPro Core Certification is recommended as a foundation before pursuing the Advanced Data Scientist certification, but it is not a mandatory prerequisite.
Is there a hands-on or lab component in the DSA-C03 exam?
The official exam page does not specify a hands-on or lab component. It focuses on validating advanced knowledge and skills through the exam objectives listed.
What is the retake policy if I fail the DSA-C03 exam?
Snowflake's FAQ indicates there is a limit on how many times someone can fail an exam, but the specific retake policy is not detailed on the official page.
Can I reschedule my DSA-C03 exam appointment?
Yes, you can reschedule your exam if you cannot make your scheduled appointment, as indicated in the SnowPro FAQs. Specific rescheduling policies are not detailed on the official page.
What job roles does the SnowPro Advanced: Data Scientist certification map to?
This certification is designed for data scientists who apply advanced data science principles and tools using Snowflake in production environments.
Are there regional discounts for the DSA-C03 exam?
Yes, exams delivered in India receive a 20% regional discount on the exam fee.
Information freshness · Content last reviewed on 2026-07-30 Up to date
Practice free questions 333 questions, free, no account needed.
The curriculum
The whole exam, mapped and written
Every domain, every objective, and every concept Snowflake measures — each one written out.
5domains
14objectives
109concepts
72free pages
The domains, and what sits inside them
Every objective below is a page you can open and practise now, without an account.
The official Snowflake exam outline · checked 30 July 2026 · See the source
1Data Science Concepts53 questions
2Data Pipelining49 questions
3Data Preparation and Feature Engineering87 questions
4Model Development64 questions
5Model Deployment and Operationalization80 questions
Not a table of contents
Every line on this map already opens
In front of every objective the practice pages are already there, free and without an account. This is one objective, opened.
Define machine learning concepts for data science workloads5 pagesOpen →
Free in front of it
24 questions on this objective, five to a page. Every range above is a real page, open now, with no account.
Reading the map is not the same as knowing the ground
The curriculum tells you what is on the exam. Proving you know it is a different job — and it is the one the closed-book run does.
Free questions
333 questions. No account, no card.
The whole bank is open. 5 questions to a page, every answer explained, and a discussion thread on each one.
333questions
72pages
14objectives
Freealways
Browse by domain
Every objective, and every page range, is a link — so you can pick up exactly where you left off.
1Data Science Concepts53 questions
2Data Pipelining49 questions
3Data Preparation and Feature Engineering87 questions
4Model Development64 questions
5Model Deployment and Operationalization80 questions
What a practice page gives you
1Five to a page
Short enough to finish, long enough to matter.
2Every answer explained
Not only which one is right — why the others are wrong.
3A discussion on each
Ask, answer, and vote. Every question has its own thread.
A question, and the idea behind it
Every question comes from a concept
These are not trivia. Each one is written against a concept in the book, so when you get one wrong there is somewhere to go and find out why.
The visual book
See it once. Carry it into the exam.
The pages shown here come from our AI-900 book — an example of how each concept is written in plain language and, where the idea needs one, drawn as a full page you can take in at a glance.
109concepts
333free questions
Why a picture, and not another paragraph
Three reasons, and each one is a real finding rather than a slogan.
You can see it againThe whole idea at onceWhere it starts, what happens in the middle, what comes out, and the mistake to avoid.
Multimedia principle · MayerThe look-alikes sit togetherThe pairs the exam tests are drawn side by side, so the difference is seen, not told.
Dual coding · PaivioWhat one page is made of
You are never asked to read a poster here — only to see how one is built. After that, every other page is legible at a glance.
1A numbered strip on top
The idea as a sequence, followed with a finger before a word is read.
2Panels for the parts
What it is, how the machine learns it, when it is the right tool.
3The trap, framed
The distinction the exam tests, given its own box instead of buried in prose.
4One line at the bottom
The sentence to carry into the exam room.
Open book, on purpose
Answer it with the picture beside you
This is the part that teaches. The illustration and the written explanation stay where they are while you work, so a scenario stops being a memory test and becomes something you can simply look at.
It teaches · it does not count
A smartphone uses AI to unlock when the owner looks at the camera. Which AI capability is being used?
AImage classification
BFacial recognition
COptical character recognition
DObject detection
Look at the five steps. Detect finds a face, align straightens it, encode turns it into numbers, search compares it with a stored face, and decide answers one question: is this the same person? Classification would only say “a face”. Detection would only draw a box. Neither decides whose.
Then the page shuts, and it starts counting
The same questions come back with the book closed — that run is the one that counts. After it, your coach picks one thing for tonight, sized to the time you have, and brings pages back before you lose them.
Testing effect · Roediger & Karpicke 2006 · spacing effect · Cepeda et al. 2006
Official resources
Straight from Snowflake
Where the exam is defined, scheduled and scored.
2official links
109concepts mapped
The source
Snowflake’s own pages
We link to them rather than repeat them, so nothing here goes stale behind them.
Checked against the source
Every objective on the official Snowflake outline already has questions here
We build from the official skills outline, not from a summary of it — 14 objectives, 109 concepts written under them, and free questions against every one. When Snowflake changes the outline, this page changes with it.
14objectives on the outline→109concepts written→333free questions
An official page tells you what will be asked. It cannot tell you what you will get right.
That is the only question worth answering the night before, and no link answers it. You answer it by taking the questions with the book closed, and seeing what comes back.