Courseiva
Data Ingestion and TransformationeasyMultiple SelectObjective-mapped

DEA-C01 Data Ingestion and Transformation Practice Question

A data engineer needs to ingest data from multiple on-premises relational databases into Amazon S3 for analytics. The data must be transformed and loaded daily. Which THREE AWS services should the engineer use together to build this pipeline? (Choose THREE.)

⚠ Common exam trap

The DEA-C01 exam often tests the distinction between batch and streaming services; the trap here is that candidates might confuse Amazon Kinesis Data Streams (real-time) with a batch ingestion tool, or think Amazon Athena can perform ETL transformations when it is only a query engine.

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

AWS Glue

AWS Glue is correct because it provides a serverless ETL (Extract, Transform, Load) service that can read data from Amazon S3, apply transformations (e.g., using PySpark or Scala), and write the transformed data back to S3. In this pipeline, AWS Glue jobs can be scheduled to run daily to perform the required transformations on the ingested data.

Answer analysis

Option-by-option breakdown

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

  • AWS Glue

    Why this is correct

    Performs ETL transformations on the data.

  • AWS Glue Data Catalog

    Why this is correct

    Stores metadata and schema for the data in S3.

  • Amazon Athena

    Why it's wrong here

    Query service, not used for building ingestion pipelines.

  • AWS Database Migration Service (DMS)

    Why this is correct

    Migrates data from on-premises databases to AWS, including S3.

  • Amazon Kinesis Data Streams

    Why it's wrong here

    Used for real-time streaming, not for batch migration from on-premises.

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

About these practice questions

This DEA-C01 question is part of Courseiva's 1,711-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This DEA-C01 practice question is part of Courseiva's free Amazon Web Services 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-C01 exam.