You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
The SnowPro Advanced: Data Analyst certification validates your ability to apply comprehensive data analysis principles using Snowflake and its components. Designed for data analysts with hands-on production experience, it covers advanced SQL, data transformations, and predictive analysis. Earning it demonstrates you can turn raw data into business-ready insights on the Snowflake AI Data Cloud.
Content last reviewed 1 January 2025 · Up to date
What this certification covers, who it is written for, and what the exam itself looks like on the day.
What it validates, who it is written for, and the experience it assumes.
The SnowPro Advanced: Data Analyst certification is a role-based credential that validates advanced knowledge and skills for applying comprehensive data analysis principles using Snowflake and its components. It goes beyond core fundamentals to test your ability to prepare and load data, perform simple and complex transformations, and build and troubleshoot advanced SQL queries.
This certification also covers using Snowflake built-in functions and creating User-Defined Functions (UDFs), performing descriptive, diagnostic, and predictive data analyses, and preparing and presenting data to meet business requirements. Earning this credential signals to employers that you can drive data-driven decision-making and deliver actionable insights on the Snowflake platform.
This certification is for data analysts who work hands-on with Snowflake in a production environment and are responsible for analyzing data to support business decisions. It is ideal for professionals who need to demonstrate advanced skills in SQL, data transformation, and predictive analysis using Snowflake's features. Candidates typically have one or more years of practical experience as a data analyst using Snowflake, with fluency in advanced SQL and possibly knowledge of an additional programming language.
One or more years of hands-on practical experience with Snowflake as a Data Analyst in a production environment, plus fluency with advanced SQL and knowledge of an additional computer language. Preparing and loading data into Snowflake; Performing data transformations for analysis; Building and troubleshooting advanced SQL queries; Using Snowflake built-in functions and creating UDFs; Performing descriptive, diagnostic, and predictive data analyses
Every domain and objective Snowflake measures, with the weight they carry on the exam.
The official Snowflake exam outline · checked 1 January 2025 · See the source
Everything Snowflake publishes about sitting it, and nothing we inferred.
SnowPro Core certification is recommended but not required.
The path Snowflake lays out, how the credential is kept, and where to book.
Step-by-step path to Snowflake SnowPro Advanced: Data Analyst
SnowPro certifications must be renewed periodically to stay current. Specific renewal requirements are not detailed on the exam page. Stay current with the latest technologies and maintain your certification.
Learn more about renewal requirementsThis certification is currently active and available. Snowflake maintains this certification to validate current skills and industry relevance.
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 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 worksThe SnowPro Core certification is recommended as a foundation for the Advanced Data Analyst exam, but it is not a mandatory prerequisite. The Advanced exam builds on core knowledge to validate deeper analytical skills.
The official exam page does not specify a hands-on or lab component. The exam focuses on validating knowledge and skills through its question format.
Snowflake's FAQ indicates there is a limit on how many times you can fail an exam, but the specific retake policy is not detailed on the exam page. Contact Snowflake for the current retake policy.
Yes, you can reschedule your exam if you cannot make your scheduled appointment. Specific rescheduling terms are not detailed on the exam page.
This certification is designed for data analysts who work with Snowflake in production environments, focusing on advanced data analysis, SQL, and data transformation skills.
Yes, exams delivered in India receive a 20% regional discount on the exam fee.
Every domain, every objective, and every concept Snowflake measures — each one written out.





Every objective below is a page you can open and practise now, without an account.
The official Snowflake exam outline · checked 1 January 2025 · See the source
In front of every objective the practice pages are already there, free and without an account. This is one objective, opened.
3 questions on this objective, five to a page. Every range above is a real page, open now, with no account.
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.
The whole bank is open. 5 questions to a page, every answer explained, and a discussion thread on each one.
Every objective, and every page range, is a link — so you can pick up exactly where you left off.
Short enough to finish, long enough to matter.
Not only which one is right — why the others are wrong.
Ask, answer, and vote. Every question has its own thread.
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 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.





Three reasons, and each one is a real finding rather than a slogan.
You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
The whole idea at onceWhere it starts, what happens in the middle, what comes out, and the mistake to avoid.
Multimedia principle · Mayer
The look-alikes sit togetherThe pairs the exam tests are drawn side by side, so the difference is seen, not told.
Dual coding · PaivioYou 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.

The idea as a sequence, followed with a finger before a word is read.
What it is, how the machine learns it, when it is the right tool.
The distinction the exam tests, given its own box instead of buried in prose.
The sentence to carry into the exam room.
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.
A smartphone uses AI to unlock when the owner looks at the camera. Which AI capability is being used?

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
Where the exam is defined, scheduled and scored.
We link to them rather than repeat them, so nothing here goes stale behind them.
We build from the official skills outline, not from a summary of it — 12 objectives, 134 concepts written under them, and free questions against every one. When Snowflake changes the outline, this page changes with it.
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.