MLS-C01 Practice Question: Machine Learning Implementation and Operations
A company is using AWS Glue to run ETL jobs that transform data for machine learning. The jobs are failing with 'Out of Memory' errors. The data size is growing, and the company needs a cost-effective solution. Which approach should be taken?
⚠ Common exam trap
A common mix-up: candidates assume 'Out of Memory' errors must be solved by increasing memory per worker (vertical scaling) or by switching to a more powerful service, but the most cost-effective and direct solution in AWS Glue is to increase the number of workers (horizontal scaling) to distribute the memory load.
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
✓
Increase the number of workers in the job configuration.
Increasing the number of workers in the AWS Glue job configuration distributes the data processing load across more Spark executors, directly addressing the 'Out of Memory' error by providing more aggregate memory without changing the worker type. This is a cost-effective approach because it scales horizontally, often at a lower cost than moving to a larger worker type, and it leverages the existing Glue infrastructure without migrating to EMR.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Switch to Spark on Amazon EMR.
Why it's wrong here
Higher cost and operational overhead.
- ✓
Increase the number of workers in the job configuration.
Why this is correct
Increases parallelism, reducing memory per worker.
- ✗
Optimize the job by filtering data earlier.
Why it's wrong here
May help but not always sufficient.
- ✗
Use a larger worker type like G.2X.
Why it's wrong here
Increases cost per worker.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLS-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 MLS-C01 exam.