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Data Ingestion and TransformationmediumMultiple SelectObjective-mapped

DEA-C01 Data Ingestion and Transformation Practice Question

Which TWO options are valid methods to ingest on-premises relational database data into Amazon S3 for analytics? (Choose 2.)

⚠ Common exam trap

Many candidates confuse AWS Glue ETL (which uses JDBC for batch extraction) with Amazon Kinesis (which is for streaming), or they overlook that AWS DMS is a dedicated service for database migration and replication to S3, while Snowball Edge is for offline bulk transfer, not live ingestion.

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 ETL job with JDBC connection to source

AWS Glue ETL jobs can connect to on-premises relational databases via JDBC, extract data, and write it directly to Amazon S3 in formats like Parquet or ORC. This is a fully managed, serverless approach suitable for batch ingestion and transformation of structured data for analytics.

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 Snowball Edge

    Why it's wrong here

    Snowball is for large offline data transfer, not real-time.

  • AWS Glue ETL job with JDBC connection to source

    Why this is correct

    Glue can read from JDBC and write to S3.

  • Amazon Kinesis Data Streams with Direct Put

    Why it's wrong here

    Kinesis is for streaming, not direct database ingestion.

  • AWS Database Migration Service (DMS) with S3 target

    Why this is correct

    DMS supports S3 as a target for full load and CDC.

  • Amazon AppFlow

    Why it's wrong here

    AppFlow is for SaaS applications, not on-prem databases.

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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Same concept, more angles

1 more way this is tested on DEA-C01

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. Which TWO AWS services can be used to ingest data from an on-premise relational database into Amazon S3 on a one-time basis?

easy
  • A.AWS Data Pipeline
  • B.AWS Database Migration Service (DMS)
  • C.AWS Glue
  • D.Amazon Simple Queue Service (SQS)
  • E.Amazon Kinesis Data Streams

Why B: AWS DMS can perform one-time full-load migrations from on-premise relational databases to Amazon S3 by connecting to the source and writing data directly to S3 in formats like CSV or Parquet. AWS Glue can also be used for one-time data ingestion by creating an ETL job that reads from the source database via JDBC and writes to S3, with the option to run the job on demand. Both services support one-time transfers without ongoing replication.

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.