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How long is the SnowPro Advanced: Data Engineer (DEA-C02) exam?

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

What is the passing score for SnowPro Advanced: Data Engineer (DEA-C02)?

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

What are common mistakes on the SnowPro Advanced: Data Engineer (DEA-C02) exam?

Common pitfalls include: Streams vs Tasks, Snowpipe vs COPY INTO, Transient vs Temporary, MERGE Semantics, Zero-Copy Cloning. Focus study time on these areas to avoid losing points.

SnowPro Advanced: Data Engineer (DEA-C02) Practice Exam 2026 (SF-DE)

Name: Pass-IT
Author: Pass-IT

SnowPro Advanced: Data Engineer (DEA-C02)

Validates advanced knowledge for building comprehensive data engineering solutions using Snowflake including data pipelines, transformations, and governance. 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 Engineer Certification (DEA-C02) validates expertise in building and optimizing data pipelines on Snowflake, including data ingestion from lakes, APIs, and on-premise sources, data transformation and cloning, real-time streaming with Snowpipe and tasks, scalable compute management, and performance analytics. It tests the full data engineering lifecycle within Snowflake.

This certification is designed for data engineers, ETL developers, and pipeline architects with two or more years of production Snowflake experience. It demonstrates the ability to build reliable, performant data infrastructure and is one of the most sought-after Advanced certifications in the Snowflake ecosystem.

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 five domains: Data Transformations (30%), Data Movement (28%), Performance Optimization (22%), Storage & Data Protection (10%), and Security (10%). A passing score is 750 out of 1000. Budget extra time for multi-step pipeline scenario questions that dominate the transformation and movement domains.

Data Movement 28%

Design and implement data loading, unloading, and replication using Snowpipe, COPY, external stages, and data sharing.

Performance 19%

Optimize query performance, warehouse configuration, clustering keys, search optimization, and resource monitoring.

Storage and Data Protection 14%

Manage storage, Time Travel, Fail-safe, data retention, cloning, and data protection strategies.

Data Governance 14%

Implement data governance using tags, policies, masking, row access policies, and object tagging.

Data Transformation 25%

Build data transformations using streams, tasks, stored procedures, UDFs, and Snowpark for pipeline automation.

Where candidates struggle

Data engineers who haven't built actual Snowpipe and Task/Stream pipelines often fail questions about continuous ingestion patterns, change data capture mechanics, and MERGE statement nuances.

Streams vs Tasks — Confusing Streams (change tracking on tables) with Tasks (scheduled SQL execution) and not understanding how they combine for continuous pipelines causes CDC question errors.

Snowpipe vs COPY INTO — Not knowing when to use Snowpipe (continuous, event-driven) versus COPY INTO (batch, on-demand) for different ingestion patterns leads to architecture mistakes.

Transient vs Temporary — Mixing up transient tables (no Fail-Safe, persist across sessions) with temporary tables (session-scoped, auto-dropped) leads to wrong storage optimization answers.

MERGE Semantics — Not understanding MERGE statement behavior with duplicate matches, non-deterministic results, and the difference between matched/not-matched clauses causes transformation errors.

Zero-Copy Cloning — Misunderstanding that clones share storage until modified and that cloning a schema or database also clones all child objects leads to incorrect storage and pipeline answers.

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 Engineer, Data Pipeline Architect, ETL Developer, Snowflake Data Engineer, Data Platform Lead.

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

Study time ~80 hours

Official guide View on vendor site

SnowPro Advanced: Data Engineer (DEA-C02)

About the exam

What's on the exam

What to expect

Where candidates struggle

Exam logistics

Ready to pass?