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SnowPro® Advanced: Data Engineer (DEA-C02) Exam Questions
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SnowPro® Advanced: Data Engineer (DEA-C02) Exam Questions

About this course

About the Certification: SnowPro® Advanced: Data Engineer (DEA-C02)The SnowPro® Advanced: Data Engineer (DEA-C02) certification is intended for professionals who want to demonstrate advanced knowledge of building, managing, and optimizing Snowflake data pipelines across modern data platforms. Snowflake positions this certification within its advanced track, focusing on real-world data engineering scenarios, pipeline design decisions, and performance optimization strategies.Candidates preparing for this certification are expected to understand how Snowflake data engineering capabilities are applied in practical environments. The exam evaluates the ability to work with data ingestion, transformation, storage, governance, and performance, applying these concepts in scenarios that reflect operational and business requirements rather than isolated theory.A major focus area is data movement and pipeline architecture. Learners should understand how to design ingestion workflows using stages, file formats, Snowpipe, Snowpipe Streaming, streams, tasks, dynamic tables, connectors, external tables, Iceberg tables, and hybrid tables, supporting both batch and streaming use cases.Another important area is data transformation and processing. Candidates are expected to work with UDFs, external functions, stored procedures, Snowpark, Snowpark DataFrames, and semi-structured data, as well as handling unstructured data and applying Cortex features for text analytics, categorization, and AI-driven workflows.The certification also covers development workflows and pipeline automation. Learners should understand how to use Snowflake Notebooks, Git integration, dbt Projects, CI/CD pipelines, environment management strategies, and testing frameworks to support reliable and repeatable data engineerin

B

69/100

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45/45
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8/35
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What you'll learn

  • design ingestion workflows
  • apply performance optimization strategies
  • implement data transformation techniques
  • automate development workflows using Git and CI/CD pipelines

Course objectives

  • prepare for the SnowPro® Advanced: Data Engineer certification
  • demonstrate advanced knowledge of Snowflake data engineering capabilities
  • understand real-world data engineering scenarios
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