Snowflake SnowPro Data Engineer Practice Exams by Domain

This real exam questions course with over 200 Q&A will help you to succeed in the SnowPro® Advanced: Data Engineer (DEA-C02)‬ Certification exam. Questions are divided by domain to fully understand each section.

Each answer key has its own detailed study guide—you don't just buy the most complete set of questions related the DEA-C02 exam, you also buy a study guide for each of the topics included in the exam.

This practice exams and study guides will help to cover all the aspects of the SnowPro® Advanced: Data Engineer (DEA-C02)‬ Certification as of March 2025.

Through this course, you will:

• Learn what are the domains that this certification exam covers, what how are the questions expected for each domain

• Understand the why of each correct answer by getting references and study material

• Easily identify in which domain/section you need to improve your knowledge. Each section has it own study material.

• Improve your data engineering knowledge in a practical way, getting instant results and detailed explanations for each practice question

  
  

The table below is extracted from Snowflake and lists the main‬ content domains and their weightings for the  SnowPro® Advanced: Data Engineer (DEA-C02)‬ Certification exam:

1. Data Movement‬ 26%‬

2. Performance Optimization‬ 21%‬

3. Storage and Data Protection‬ 14%‬

4. Data Governance 14%‬

5. Data Transformation ‬ 25%‬

The SnowPro® Advanced: Data Engineer (DEA-C02)‬ Certification will test skills and knowledge related to data engineering principles on Snowflake. The exam will specifically test you in how to:

• Ingest datasets in different scenarios and troubleshoot data ingestion

• Design stages, tasks, streams and Snowpipe

• Configure solutions for the best performance

• Analyze underperforming queries

• Define Clustering keys and analyze micro-partitions

• Implement data recovery feature like Time Travel and Fail-safe

• Manage data governance and establish Snowflake security principles

• Design Functions and Stored Procedures

• Handle and transform semi-structured data

• Use Snowpark for data transformation