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How long is the SnowPro Advanced: Data Analyst (DAA-C01) exam?

The SF-DA exam has 65 questions and a 115-minute time limit.

What is the passing score for SnowPro Advanced: Data Analyst (DAA-C01)?

You need 750 / 1000 to pass the SF-DA exam.

What are common mistakes on the SnowPro Advanced: Data Analyst (DAA-C01) exam?

Common pitfalls include: Window Functions, QUALIFY Clause, Materialized Views, BI Tool Integration, PIVOT and UNPIVOT. Focus study time on these areas to avoid losing points.

SnowPro Advanced: Data Analyst (DAA-C01) Practice Exam 2026 (SF-DA)

Name: Pass-IT
Author: Pass-IT

SnowPro Advanced: Data Analyst (DAA-C01)

Validates advanced knowledge for applying comprehensive data analysis principles using Snowflake including data preparation, transformation, analysis, and visualization. 65+ AI-generated practice questions with explanations. Free trial, pass guarantee.

7-day free trial, no credit card required

65 Questions

115min Time Limit

750/ 1000 Pass Score

$375 USD Exam Fee

About the exam

The SnowPro Advanced: Data Analyst Certification (DAA-C01) validates the ability to perform end-to-end data analysis on Snowflake, including data ingestion and preparation, transformation and modeling, advanced analytical techniques, and data presentation and visualization. It tests proficiency in turning raw data into actionable business insights using Snowflake's analytical capabilities and connected visualization tools.

This certification is ideal for data analysts, business intelligence developers, and reporting specialists with two or more years of Snowflake experience. It demonstrates the ability to design analytical workflows, build data models for reporting, and communicate findings effectively — skills essential for data-driven decision-making roles.

What's on the exam

The exam consists of 65 questions — multiple-choice, multiple-select, and true/false — to be completed in 115 minutes. Questions cover four domains: Data Analysis (32%), Data Presentation & Visualization (29%), Data Transformation & Modeling (22%), and Data Ingestion & Preparation (17%). A passing score is 750 out of 1000. Analysis and visualization together comprise over 60% of the exam — prioritize SQL analytics and dashboard design in preparation.

Data Ingestion and Data Preparation 17%

Ingest, stage, and prepare data using COPY, Snowpipe, external tables, and data transformation techniques.

Data Transformation and Data Modeling 23%

Transform data using SQL, CTEs, window functions, and design star/snowflake schemas and data vault models.

Data Analysis 32%

Perform advanced analytics using SQL, aggregate functions, time-series analysis, and Snowflake-specific analytical features.

Data Presentation and Data Visualization 28%

Create dashboards, integrate with BI tools, and present analytical results using Snowsight and partner tools.

Where candidates struggle

Analysts who only write basic SELECT queries often struggle with window functions, QUALIFY clauses, PIVOT/UNPIVOT operations, and questions about connecting Snowflake to BI tools like Tableau or Power BI.

Window Functions — Not mastering ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD, and NTILE window functions — including PARTITION BY and ORDER BY clauses — leads to analysis question failures.

QUALIFY Clause — Not knowing that QUALIFY filters window function results (like HAVING for GROUP BY) and is unique to Snowflake SQL causes mistakes on advanced query questions.

Materialized Views — Confusing regular views with materialized views and not understanding when Snowflake auto-refreshes materialized views or their Enterprise Edition requirement leads to modeling errors.

BI Tool Integration — Not understanding how Snowflake connects to Tableau, Power BI, and Looker — including partner connect, OAuth, and ODBC/JDBC drivers — causes visualization ecosystem question mistakes.

PIVOT and UNPIVOT — Struggling with PIVOT (rows to columns) and UNPIVOT (columns to rows) syntax and not understanding dynamic pivot patterns leads to transformation question errors.

Exam logistics

Delivered online via the Snowflake Certification Portal. Available in English and Japanese. The certification is valid for 2 years. Renewal requires recertification or continuing education credits. Exam fee is $375 USD. Prerequisite: active SnowPro Core certification.

Delivery Online proctored or onsite testing centers.

Retake policy No waiting period between attempts. Full registration fee required for each attempt.

Validity 2 years

Career outcomes Senior Data Analyst, BI Analyst, Analytics Engineer, Data Insights Lead, Snowflake Analytics Specialist.

Renewal Pass the current version of the SnowPro Advanced: Data Analyst exam to recertify every 2 years.

Study time ~80 hours

Official guide View on vendor site

SnowPro Advanced: Data Analyst (DAA-C01)

About the exam

What's on the exam

What to expect

Where candidates struggle

Exam logistics

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