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Snowflake SnowPro Advanced Data Analyst Quick Facts
The Snowflake SnowPro Advanced Data Analyst Certification is a powerful way to showcase your skills in transforming, analyzing, and presenting data in Snowflake. This overview brings clarity and focus, helping you see exactly how to align your knowledge with the exam’s core objectives.
How does the SnowPro Advanced Data Analyst Certification empower your Snowflake journey?
This certification validates your expertise in turning raw data into meaningful insights using Snowflake’s modern data platform. It covers the full spectrum of advanced data analysis, from ingesting and preparing data, applying transformations and modeling techniques, leveraging SQL extensibility, all the way to delivering impactful dashboards and business-ready visualizations. Earning this certification shows that you can bridge the gap between complex data ecosystems and clear insights that drive decisions, making it a valuable asset for data professionals across industries.
Who should consider earning the Snowflake SnowPro Advanced Data Analyst Certification?
The SnowPro Advanced: Data Analyst Certification (DAA-C01) is perfect for professionals who want to showcase strong skills in analyzing and presenting data within the Snowflake Data Cloud. This credential is designed for individuals who:
- Have at least 1 year of hands-on Snowflake experience in a production environment
- Are comfortable with advanced SQL and analytical workflows
- May also have experience with an additional programming language (preferred but not required)
Typical candidates include Data Analysts, ELT Developers, and BI Specialists who want to validate their expertise in working with enterprise-scale data on Snowflake. This is an excellent career move if you are looking to differentiate yourself in data-driven fields by proving your ability to model, analyze, and communicate insights from organizational data.
What kind of job opportunities can this certification open up?
Holding a SnowPro Advanced: Data Analyst Certification illustrates that you are highly skilled in data preparation, modeling, and visualization within the Snowflake ecosystem. With this certification, you’ll stand out for roles such as:
- Senior Data Analyst
- Business Intelligence (BI) Developer
- Reporting Analyst
- Analytics Engineer
- Data Visualization Specialist
It’s also an enabling certification that strengthens your path toward roles like Data Scientist, Snowflake Data Engineer, or Analytics Architect, depending on where you want to grow your data career. By validating your expertise, you’ll be better positioned for promotions, new opportunities, and projects where data-driven decision making is critical.
What version of the Snowflake SnowPro Advanced Data Analyst exam should I take?
The current version you’ll want to prepare for is DAA-C01. This is the latest edition of the exam, structured to reflect Snowflake’s most up-to-date features, performance capabilities, and real-world business use cases. Be sure that your study materials, practice exams, and training resources align with DAA-C01, so you’re learning relevant concepts that will mirror what you’ll see in the exam.
How many questions are on the exam, and what types will I see?
The SnowPro Advanced: Data Analyst exam (DAA-C01) includes 65 questions. These questions fall into the following formats:
- Multiple-choice (single correct answer)
- Multiple-select (multiple correct answers)
- Interactive questions (scenario-based exercises testing your applied knowledge)
Each question is designed to reflect situations you’ll see as a Snowflake Data Analyst, so you’re not just memorizing theory—you’re practicing how to respond in real business scenarios. This makes the certification especially meaningful, as it confirms your ability to work with live projects and not just academic examples.
How long will I get to complete the SnowPro Advanced Data Analyst Certification exam?
You’ll have a total of 115 minutes to complete all the questions on the exam. This time frame is carefully designed so you can thoughtfully work through scenario-based questions without feeling rushed. Efficient time management is important, so you’ll want to budget more time for interactive questions that require analysis and reasoning.
What does it cost to take the DAA-C01 exam?
The registration fee for the exam is $375 USD globally, though candidates in India can register for a reduced price of $300 USD. This makes the certification an efficient investment in your professional development, as it provides strong recognition in the data analytics and cloud marketplace. When you weigh the cost against the career opportunities that open up, it’s one of the best investments a data professional can make.
What’s the passing score for the Snowflake Data Analyst exam?
To earn the certification, you’ll need to achieve a scaled score of 750 out of 1000. Snowflake uses a scaled scoring system, which means that not every question contributes equally to the final score. The exam also includes some unscored items used for research purposes, but these won’t affect your results. The focus is on your cumulative performance across domains. This means you don’t need to ace every section—the key is to balance strong performance across all subject areas.
In what language will the certification exam be available?
Currently, the SnowPro Advanced: Data Analyst Certification (DAA-C01) is available in English only. This streamlined approach ensures that all exam takers are evaluated against a common industry-standard reference. Since Snowflake is expanding rapidly, it may offer more language support in the future, but for now, English proficiency is a requirement for taking the exam.
What topics and domains are included on the exam?
The exam is broken into four key domains, each with specific skills you need to demonstrate. Here’s the domain weighting breakdown to help guide your study effort:
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Data Ingestion and Data Preparation (17%)
- Collecting and organizing datasets
- Loading files into Snowflake stages and tables
- Working with data integrity structures and Snowflake functions
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Data Transformation and Data Modeling (22%)
- Converting semi-structured and structured data into usable formats
- Identifying and resolving anomalies
- Creating BI-ready data models and optimizing queries
-
Data Analysis (32%)
- Using SQL extensibility features like UDFs and stored procedures
- Performing descriptive and diagnostic analyses
- Forecasting using Snowflake functions and statistical methods
-
Data Presentation and Data Visualization (29%)
- Building dashboards in Snowsight
- Managing security with row access policies and data masking
- Visualizing correlations, patterns, and business insights for end-users
By understanding the weighting, you can study strategically—placing more preparation time on the high-value areas like Data Analysis and Data Visualization.
Do I need to hold any other certifications first?
Yes. Before registering for the exam, you must hold an active SnowPro Core Certification. This ensures that every candidate sits the Advanced exam with a strong grasp of Snowflake fundamentals. If you don’t yet have the SnowPro Core, it’s a great starting point to build your foundation before moving up to this advanced data analyst credential.
How is the exam scored and delivered?
The exam is delivered online with proctoring or can be taken at an onsite testing center through Snowflake’s testing partners. Scoring is based on scaled results, with 750 out of 1000 required to pass. Within about 48 hours, you’ll receive confirmation of your results so you can celebrate your new certification and update your professional profiles.
How long is the certification valid for?
Your Snowflake SnowPro Advanced: Data Analyst Certification is valid for two years after it’s earned. To maintain your credential, you can participate in Snowflake’s Continuing Education (CE) program, which offers options such as:
- Taking an eligible instructor-led training course
- Passing a higher-level SnowPro Certification (like Architect or Data Engineer)
This keeps your certification aligned with Snowflake’s evolving platform while ensuring you maintain recognized expertise.
What are the best ways to prepare for the Data Analyst Certification exam?
To give yourself the best chance of passing, you should combine multiple preparation strategies:
- Hands-on Practice – Working directly in a Snowflake environment brings concepts to life.
- Training Courses – Snowflake offers instructor-led Data Analyst training that covers the essentials and advanced topics.
- Documentation and Guides – Snowflake’s official documentation contains detailed explanations of functions, transformations, and BI integrations.
- Practice Tests – One of the most effective ways to prepare is by taking top-rated Snowflake SnowPro Advanced Data Analyst practice exams that mirror the structure, question style, and pressure of the real test.
Is the exam open book or closed book?
The exam is closed book. This means you will not have access to Snowflake documentation or external resources during the exam. However, the exam is designed for applied knowledge rather than rote memorization, so hands-on familiarity with Snowflake’s interface and SQL capabilities will go a long way to helping you succeed.
What skills will I showcase by passing the certification?
Earning the SnowPro Advanced: Data Analyst Certification proves that you can:
- Load and prepare structured and semi-structured data
- Apply advanced SQL techniques in Snowflake
- Perform statistical analysis and forecasting
- Design and deliver data visualizations and dashboards that drive business strategy
Essentially, it validates your ability to not only collect data but also transform it into meaningful insights that decision-makers can rely upon.
Is the SnowPro Advanced Data Analyst certification difficult?
This exam is considered advanced-level, but with the right preparation and hands-on practice, it’s absolutely achievable. Rather than testing theoretical knowledge alone, it measures your ability to solve real-world data analytics challenges. Candidates with strong SQL skills and ongoing Snowflake project experience will find the concepts highly familiar and directly applicable.
How long should I expect to study for the exam?
The recommended study duration is between 10 to 13 hours if you’re already familiar with Snowflake, focusing on key areas of the exam guide. However, your timeline may vary depending on your comfort with SQL and data analytics. Pairing consistent study sessions with live practice in Snowflake will help solidify your expertise and prepare you to excel on test day.
Where can I take the exam?
You have two convenient options:
- Online with a proctor – Perfect if you prefer to test from your home or office. You’ll need a webcam, a quiet environment, and stable internet.
- Onsite testing centers – Available in many regions worldwide if you prefer an in-person experience.
Both options give you the flexibility to choose the testing environment that helps you feel your most confident.
How do I register for the exam?
Registering is simple—visit the official Snowflake certification page here. From there, you can create an account, schedule your testing method (online or onsite), and pay the registration fee. After scheduling, you’ll receive step-by-step instructions to complete the process and prepare for exam day.
The SnowPro Advanced: Data Analyst Certification (DAA-C01) is one of the most powerful credentials for proving your data analysis expertise on the Snowflake platform. With the right preparation, practical work, and study resources, you’ll be ready to validate your skills and take your analytics career to the next level.
