SnowPro DEA-C02 Glossary: Dynamic Tables, Streams, and Performance Terms

SnowPro DEA-C02 glossary of ingestion, sharing, streaming, compute, and performance terms.

Use this glossary when stages, pipes, streams, tasks, dynamic tables, sharing, and warehouse terms start to blur together. Keep it beside the cheat sheet and resources, not in place of scenario practice.

High-yield terms

Term Short meaning Why it matters on DEA-C02
Stage named location Snowflake can use for loading or unloading data core ingest boundary term
File format Snowflake object that defines how staged files are parsed core loading term
COPY INTO explicit load command for bringing staged data into tables core batch-ingest term
Snowpipe automated staged-file ingest into Snowflake core unattended-ingest term
Snowpipe Streaming lower-latency streaming ingest path into Snowflake key near real-time ingest term
Dynamic table managed refreshed table defined by a query and target freshness key managed-transformation term
Stream Snowflake change-data-capture object key CDC term
Task Snowflake scheduled or triggered unit of work key orchestration term
Secure Data Sharing governed live data access for another Snowflake account key delivery term
Replication copying account or object state for continuity or cross-region needs key continuity term
Failover continuity action path when primary environment is unavailable key recovery term
Warehouse Snowflake compute resource for queries and data-engineering workloads key compute-fit term
Query profile Snowflake execution analysis view for diagnosing bottlenecks key performance-evidence term
Row access policy policy controlling which rows a consumer can see key governed-delivery term
Masking policy policy controlling how sensitive values are hidden or transformed key data-protection term

Commonly confused pairs

Pair Keep this distinction clear
stream vs task change capture versus execution scheduling
dynamic table vs stream-plus-task managed refresh versus explicit CDC plus orchestration
Snowpipe vs Snowpipe Streaming automated staged-file ingest versus lower-latency streaming write path
sharing vs replication live governed delivery versus copied continuity pattern
warehouse size vs performance diagnosis compute choice versus evidence-based tuning
row access policy vs masking policy row visibility versus value protection

If three terms blur together

Cluster Fast separation
stage / COPY INTO / Snowpipe where data lives before load, how you load it explicitly, and how you automate staged-file ingest
stream / task / dynamic table capture changes, run work, or let Snowflake manage refresh
share / replication / failover deliver live data, copy state, or recover continuity
warehouse / query profile / activity history run compute, inspect bottlenecks, or inspect workload evidence

One-sentence memory hooks

  • If the question is about change capture, think stream before task.
  • If the question is about scheduled execution, think task before stream.
  • If the question is about managed refresh, think dynamic table before building CDC by hand.
  • If the question is about live governed delivery, think sharing before copying.
Revised on Sunday, May 10, 2026