SnowflakeDEA-C02
SnowPro Advanced: Data Engineer
Validate advanced skills in applying comprehensive data engineering principles using Snowflake, including data movement, transformation, performance optimization, storage protection, and data governance across cloud platforms.
Practice questions coming soon — study materials are ready
Recommended Study Path
Exam Domain Breakdown
Data Movement26%
Data Transformation25%
Performance Optimization21%
Storage and Data Protection14%
Data Governance14%
Frequently Asked Questions
What is the passing score for the SnowPro Advanced: Data Engineer (DEA-C02) exam?+
The passing score for the DEA-C02 exam is 750/1000. The exam consists of 65 questions and you have 115 minutes to complete it.
How many questions are on the DEA-C02 exam?+
The DEA-C02 exam has 65 questions. The exam duration is 115 minutes, giving you roughly 106 seconds per question on average.
How much does the DEA-C02 exam cost?+
The DEA-C02 exam costs $375 USD. Check with Snowflake for the latest pricing, regional variations, and any available vouchers or discounts.
What domains are covered on the DEA-C02 exam?+
The DEA-C02 exam covers 5 domains: Data Movement (26%), Data Transformation (25%), Performance Optimization (21%), Storage and Data Protection (14%), Data Governance (14%). Focus your study time proportionally to these weights.
What free study resources are available for the DEA-C02 exam?+
CertPrepNow offers free study guide, cheat sheet, exam notes, flashcards for the DEA-C02 exam. All resources are available without registration or payment.
How long should I study for the DEA-C02 exam?+
Study time varies by experience level. For someone with relevant work experience, 2-4 weeks of focused study (1-2 hours per day) is typical. Beginners may need 4-8 weeks. Start with the study guide to identify knowledge gaps, then use practice questions to test readiness.
Is the SnowPro Advanced: Data Engineer certification worth it?+
The SnowPro Advanced: Data Engineer certification from Snowflake validates skills that are in demand. It demonstrates proficiency in data movement and data transformation. Whether it is worth pursuing depends on your career goals and current role.