- A
Increase the number of workers
Why wrong: Increasing the number of workers does not increase memory per worker, so it may not resolve the OutOfMemory error.
- B
Switch to G.1X worker type
Why wrong: Switching to G.1X provides 1 DPU (8 GB) per worker, more memory than Standard but less than G.2X; not the most effective option.
- C
Change to G.2X worker type
Changing to G.2X allocates 2 DPU (16 GB) per worker, directly increasing memory and resolving the OutOfMemory error most effectively.
- D
Increase the number of DPUs per worker
Why wrong: Increasing DPU per worker is not a configurable parameter in AWS Glue; DPU allocation is determined by the worker type. This option is invalid.
Question 1,372 of 1,786
DEA-C01 AWS Glue Worker Types Practice Question
This DEA-C01 practice question tests your understanding of data operations and support. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. A key principle to apply: aWS Glue Worker Types. 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 data engineer notices that an AWS Glue ETL job is failing with an OutOfMemory error when processing a large dataset. The job uses a Standard worker type. Which action is MOST effective to resolve this issue without changing the job script?
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 to G.2X worker type
The most effective action is to switch to the G.2X worker type (Option C). In AWS Glue, worker types determine the DPU and memory allocated per worker. Standard workers provide 0.25 DPU (4 GB memory). An OutOfMemory error indicates insufficient memory per worker. Changing to G.2X allocates 2 DPU (16 GB memory) per worker, directly resolving the issue without modifying the script. Option A (increasing workers) does not increase per-worker memory. Option B (G.1X) provides 1 DPU (8 GB), which may help but is less effective than G.2X. Option D is invalid because DPU per worker is not a configurable parameter; it is defined by the worker type.
Key principle: AWS Glue Worker Types
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the number of workers
Why it's wrong here
Increasing the number of workers does not increase memory per worker, so it may not resolve the OutOfMemory error.
- ✗
Switch to G.1X worker type
Why it's wrong here
Switching to G.1X provides 1 DPU (8 GB) per worker, more memory than Standard but less than G.2X; not the most effective option.
- ✓
Change to G.2X worker type
Why this is correct
Changing to G.2X allocates 2 DPU (16 GB) per worker, directly increasing memory and resolving the OutOfMemory error most effectively.
Related concept
AWS Glue Worker Types
- ✗
Increase the number of DPUs per worker
Why it's wrong here
Increasing DPU per worker is not a configurable parameter in AWS Glue; DPU allocation is determined by the worker type. This option is invalid.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates may think increasing the number of workers adds more memory, but it only increases parallelism. The memory per worker remains the same. Changing worker type (e.g., to G.2X) is the direct fix.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- AWS Glue Worker Types
- OutOfMemory in Glue
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
AWS Glue Worker Types
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. AWS Glue Worker Types Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Visual reference
What to study next
Got this wrong? Here's your next step.
Review aWS Glue Worker Types, then practise related DEA-C01 questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Operations and Support — This question tests Data Operations and Support — AWS Glue Worker Types.
What is the correct answer to this question?
The correct answer is: Change to G.2X worker type — The most effective action is to switch to the G.2X worker type (Option C). In AWS Glue, worker types determine the DPU and memory allocated per worker. Standard workers provide 0.25 DPU (4 GB memory). An OutOfMemory error indicates insufficient memory per worker. Changing to G.2X allocates 2 DPU (16 GB memory) per worker, directly resolving the issue without modifying the script. Option A (increasing workers) does not increase per-worker memory. Option B (G.1X) provides 1 DPU (8 GB), which may help but is less effective than G.2X. Option D is invalid because DPU per worker is not a configurable parameter; it is defined by the worker type.
What should I do if I get this DEA-C01 question wrong?
Review aWS Glue Worker Types, then practise related DEA-C01 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
AWS Glue Worker Types
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Last reviewed: Jun 20, 2026
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