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Data Ingestion and TransformationeasyMultiple ChoiceObjective-mapped

DEA-C01 Data Ingestion and Transformation Practice Question

This DEA-C01 practice question tests your understanding of data ingestion and transformation. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A company has a nightly batch job that processes 100 GB of data from an Amazon S3 bucket and loads it into an Amazon Redshift table. The job currently runs on an Amazon EMR cluster. Which service would reduce operational overhead while providing similar functionality?

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 a serverless ETL service that can process 100 GB of data from S3 and load it into Redshift without managing any infrastructure. It provides built-in job scheduling, automatic retries, and a Spark-based engine that handles large-scale data transformations, directly replacing the EMR cluster's functionality while eliminating operational overhead.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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 Database Migration Service

    Why it's wrong here

    DMS is for database migration, not for file-based ETL from S3.

  • AWS Glue

    Why this is correct

    Glue can run serverless ETL jobs on a schedule, reducing overhead.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon Redshift Spectrum

    Why it's wrong here

    Spectrum queries S3 directly but does not load data into Redshift tables.

  • Amazon Athena

    Why it's wrong here

    Athena is for querying, not for loading data into Redshift.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The DEA-C01 exam often tests the distinction between query engines (Athena, Redshift Spectrum) and ETL services (Glue), where candidates mistakenly choose Athena or Spectrum because they can read from S3, but they lack the batch processing and data loading capabilities required for this use case.

Detailed technical explanation

How to think about this question

AWS Glue uses Apache Spark under the hood, automatically determining the number of workers based on the data size (e.g., 100 GB) and handling partitioning, compression, and format conversion. It also integrates with the AWS Glue Data Catalog to store schema metadata, enabling schema evolution and reuse across jobs. In practice, Glue jobs can be triggered by CloudWatch Events or S3 events, making them ideal for nightly batch workflows without manual cluster management.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

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

What to study next

Got this wrong? Here's your next step.

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FAQ

Questions learners often ask

What does this DEA-C01 question test?

Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: AWS Glue — AWS Glue is a serverless ETL service that can process 100 GB of data from S3 and load it into Redshift without managing any infrastructure. It provides built-in job scheduling, automatic retries, and a Spark-based engine that handles large-scale data transformations, directly replacing the EMR cluster's functionality while eliminating operational overhead.

What should I do if I get this DEA-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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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.