Question 491 of 1,786
Data Ingestion and TransformationhardMultiple ChoiceObjective-mapped

Quick Answer

The answer is to change the worker type from Standard to G.2X. This directly addresses out-of-memory errors in executors because G.2X workers provide four times the memory (16 GB) of a Standard worker (4 GB), allowing larger datasets to be processed without spilling to disk or failing. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of AWS Glue worker types and their memory allocations—a common trap is to increase the number of workers instead of upgrading the worker type, which adds parallelism but not per-executor memory. Remember that for memory-bound jobs, G.1X (8 GB) or G.2X (16 GB) are the correct levers, while Standard workers are best for lightweight ETL. Memory tip: think "G" for "Gigabytes"—G.2X gives you double the memory of G.1X and quadruple that of Standard.

DEA-C01 Data Ingestion and Transformation Practice Question

This DEA-C01 practice question tests your understanding of data ingestion and transformation. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.

Network Topology
aws glue get-jobjob-name transform-job"job-language": "python",TempDir": "s3://glue-temp/"Refer to the exhibit."Job": {"Name": "transform-job","Role": "arn:aws:iam::123456789012:role/GlueServiceRole","Command": {"Name": "glueetl","ScriptLocation": "s3://glue-scripts/transform.py","PythonVersion": "3"},"DefaultArguments": {"MaxRetries": 0,"AllocatedCapacity": 5,"Timeout": 30,"MaxCapacity": 5,"WorkerType": "Standard","NumberOfWorkers": 5,"GlueVersion": "3.0"

A data engineer reviews the Glue job configuration. The job fails when processing large datasets. The error message indicates out-of-memory in the executors. Which change to the job configuration will most directly address this issue?

Question 1hardmultiple choice
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Network Topology
aws glue get-jobjob-name transform-job"job-language": "python",TempDir": "s3://glue-temp/"Refer to the exhibit."Job": {"Name": "transform-job","Role": "arn:aws:iam::123456789012:role/GlueServiceRole","Command": {"Name": "glueetl","ScriptLocation": "s3://glue-scripts/transform.py","PythonVersion": "3"},"DefaultArguments": {"MaxRetries": 0,"AllocatedCapacity": 5,"Timeout": 30,"MaxCapacity": 5,"WorkerType": "Standard","NumberOfWorkers": 5,"GlueVersion": "3.0"

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

Change the worker type from Standard to G.2X.

The job uses 5 workers of Standard type. To increase memory, the engineer should use G.1X or G.2X worker types which provide more memory per worker, or increase the number of workers. Among options, changing worker type to G.2X directly increases memory.

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.

  • Change the worker type from Standard to G.2X.

    Why this is correct

    G.2X workers have more memory (8 GB vs 4 GB), directly addressing OOM.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Increase the timeout from 30 to 60 minutes.

    Why it's wrong here

    Timeout does not affect memory.

  • Increase the number of workers from 5 to 10.

    Why it's wrong here

    More workers may help parallelism but each worker still has the same memory; the root issue is per-worker memory.

  • Set MaxRetries to 3.

    Why it's wrong here

    Retries don't fix the memory issue.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

What to study next

Got this wrong? Here's your next step.

Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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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: Change the worker type from Standard to G.2X. — The job uses 5 workers of Standard type. To increase memory, the engineer should use G.1X or G.2X worker types which provide more memory per worker, or increase the number of workers. Among options, changing worker type to G.2X directly increases memory.

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

Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 20, 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.