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DEA-C02 Data Movement Practice Question

A data engineer is configuring continuous ingestion of new event files from an external Amazon S3 stage into a Snowflake table. The files arrive frequently and the engineer wants Snowflake to load them automatically without building an external orchestrator. The stage already has a storage integration attached. Which Snowflake object should the engineer create to accomplish this?

⚠ Common exam trap

The trap here is assuming any scheduled COPY INTO satisfies 'automatic' loading, when event-driven auto-ingest is the specific mechanism for reacting to new files.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

A pipe with AUTO_INGEST = TRUE

Continuous, event-driven loading from an external stage is implemented with a pipe configured for auto-ingest. The pipe wraps the COPY INTO statement, and the cloud provider's event notification tells Snowflake when new files appear, so no polling or external scheduler is needed. Streams, tasks, and materialized views solve different problems and cannot react to S3 object creation events.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    A stream on the external stage that captures new file names

    Why it's wrong here

    Streams track change data capture on Snowflake tables, not on external stage file listings. A stream cannot observe new objects landing in an S3 bucket, so it would never produce rows for newly arrived files. Using a stream here misapplies a table-level CDC feature to a file-arrival problem, which is the role of a pipe with auto-ingest instead.

  • ✓

    A pipe with AUTO_INGEST = TRUE

    Why this is correct

    A pipe with AUTO_INGEST = TRUE relies on the cloud provider's event notifications to trigger COPY INTO when new files land on the stage, so ingestion happens automatically with no external scheduler required. The storage integration supplies the credentials and the event notification ARN is tied to the pipe, which matches the requirement of loading frequent event files with minimal orchestration overhead on the Snowflake side.

  • ✗

    A materialized view defined over the external stage

    Why it's wrong here

    Materialized views are defined over Snowflake tables and are refreshed by Snowflake's background maintenance; they cannot be defined over an external stage and they do not ingest files. This option confuses query acceleration with data loading. Materialized views also have restrictions on the kinds of expressions allowed, and none of those restrictions are relevant because the fundamental object type is wrong for file ingestion.

  • ✗

    A task scheduled with a CRON expression that runs COPY INTO every minute

    Why it's wrong here

    Tasks can schedule COPY INTO statements, but polling every minute still introduces latency and cost, and it is not event-driven ingestion. The scenario asks for automatic loading as files arrive, and a task does not react to S3 event notifications. Tasks are a valid orchestration tool, but they do not satisfy the 'without building an external orchestrator and without polling' intent as cleanly as an auto-ingest pipe does.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official Snowflake exam blueprint

This DEA-C02 practice question is part of Courseiva's free Snowflake certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C02 exam.