Free Snowflake DEA-C02 Exam Questions
SnowPro® Advanced: Data Engineer (DEA-C02)
Practice with our comprehensive collection of free SnowPro® Advanced: Data Engineer (DEA-C02) exam questions. All questions are aligned with the latest exam guide and include detailed explanations to help you master the material.
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Exam Information
Exam Details
Complete information about the SnowPro Advanced: Data Engineer (DEA-C02) certification exam
Scenario-based questions
120 minutes (2 hours)
2 years
Online or test center
Prerequisites: Eligible individuals must hold an active SnowPro Core Certified credential. 2+ years of data engineering experience with practical, hands-on Snowflake usage is recommended.
Exam Topics & Skills Assessed
Key Snowflake technologies and domains covered in the Advanced Data Engineer exam
Core Snowflake Technologies:
- Data Ingestion & Loading - Structured, semi-structured, and unstructured data; stages and file formats; COPY INTO; troubleshooting ingestion
- Continuous Pipelines - Streams, Tasks, Snowpipe (Auto-ingest vs REST API), Snowpipe Streaming, Dynamic Tables
- Data Sharing - Secure views, row-level filtering, listings, Snowflake Marketplace, Data Clean Rooms
- External Tables & Iceberg - Management, schema evolution, unload, and general table management
- Connectors & APIs - Kafka, Spark, Python connectors; Snowflake SQL API
- Performance - Warehouse sizing and multi-cluster, clustering, materialized views, Search Optimization Service, Query Acceleration Service, Snowpark-optimized warehouses, caching
- Monitoring - Tasks/Streams/Snowpipe Streaming history, alerts, notifications, data quality and data metric functions
- Protection & Recovery - Time Travel, Fail-safe, cross-region and cross-cloud replication, cloning for environments
- Governance - Object tagging/classification, lineage and dependencies, masking policies, row access policies, projection and aggregation policies
- Transformation - SQL and Snowpark UDFs/UDTFs/UDAFs, external functions, stored procedures (SQL/JavaScript/Snowpark Java/Python/Scala)
- Semi & Unstructured - Traversal/transformation, directory tables, URL types, REST API
Exam Sections (5 Main Domains with Weightings):
- Data Movement (26%) - Loading strategies, formats, stages/file formats, troubleshooting ingestion, continuous pipelines (Streams, Tasks, Snowpipe, Snowpipe Streaming), Snowpark pipelines, data sharing, external tables and Iceberg
- Performance Optimization (21%) - Underperforming query diagnosis, warehouse properties, clustering/micro-partitions, materialized views, search optimization, query acceleration, Snowpark-optimized warehouses, caching; pipeline monitoring
- Storage and Data Protection (14%) - Time Travel, Fail-safe, replication, cloning, micro-partition analysis and clustering depth/keys
- Data Governance (14%) - Tagging/classification, lineage/dependencies, data quality monitoring, column-level security, masking with RBAC, row access policies, projection/aggregation policies, Data Clean Rooms
- Data Transformation (25%) - UDFs (SQL/JS/Snowpark), UDTFs, UDAFs, external functions, stored procedures, Snowpark transformations and DataFrames, semi/unstructured data handling, transactions and scripting
Advanced Skills Tested:
- Designing and operating end-to-end near real-time data pipelines on Snowflake
- Diagnosing and optimizing query and pipeline performance
- Implementing robust data protection, replication, and environment management
- Applying data governance with masking and row access policies at scale
- Building transformations using SQL, Snowpark, UDFs/UDTFs/UDAFs, and stored procedures
About the SnowPro Advanced: Data Engineer Certification
The SnowPro Advanced: Data Engineer (DEA-C02) certification validates advanced knowledge and skills to apply comprehensive data engineering principles using Snowflake. The exam assesses your ability to design, build, optimize, and operate end-to-end data pipelines using Snowflake capabilities, including Streams and Tasks, Snowpipe and Snowpipe Streaming, Dynamic Tables, external and Iceberg tables, and Snowpark-based transformations.
Successful candidates demonstrate expertise in diagnosing and improving performance (warehouse sizing, clustering, materialized views, Search Optimization Service, Query Acceleration Service, caching), implementing robust data protection and environment management (Time Travel, Fail-safe, cloning, cross-region/cross-cloud replication), and applying governance at scale (object tagging and classification, lineage, masking policies, row access policies, projection and aggregation policies, Clean Rooms).
The certification is designed for experienced Data Engineers and Software Engineers with 2+ years of practical Snowflake experience. An active SnowPro Core certification is required to take this advanced exam. The test uses scenario-based questions and real-world examples to evaluate hands-on proficiency across ingestion, transformation, performance optimization, data protection, and governance on the Snowflake Data Cloud.