- A
Modify the script to install scikit-learn using pip at runtime
Why wrong: Installing at runtime using pip is not recommended because it can lead to conflicts and is not the standard AWS Glue approach.
- B
Add a --additional-python-modules argument to the job with scikit-learn
Correct. The --additional-python-modules argument is the correct way to add third-party packages to a Glue job.
- C
Switch to a Glue job using Spark instead of Python
Why wrong: Switching to a Spark job does not address the missing module; you would still need to add the library via --additional-python-modules or install it.
- D
Use a Glue Python shell job instead
Why wrong: Incorrect. Python shell jobs do not come pre-installed with scikit-learn; you would still need to add the library.
MLA-C01 AWS Glue additional-python-modules Practice Question
This MLA-C01 practice question tests your understanding of data preparation for machine learning. 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 additional-python-modules. 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.
Refer to the exhibit. A data engineer runs a Glue ETL job that uses a Python script. The job fails because of a missing module `scikit-learn`. Which fix is MOST appropriate?
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
Add a --additional-python-modules argument to the job with scikit-learn
Option B is correct because AWS Glue jobs (both ETL and Python shell) support the --additional-python-modules job parameter, which allows you to specify extra Python packages to install. This is the standard way to add libraries like scikit-learn that are not pre-installed. It avoids the need to install at runtime (Option A) or switch job types unnecessarily (Option D). Option C switching to Spark would add complexity and not directly solve the missing module.
Key principle: AWS Glue additional-python-modules
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Modify the script to install scikit-learn using pip at runtime
Why it's wrong here
Installing at runtime using pip is not recommended because it can lead to conflicts and is not the standard AWS Glue approach.
- ✓
Add a --additional-python-modules argument to the job with scikit-learn
Why this is correct
Correct. The --additional-python-modules argument is the correct way to add third-party packages to a Glue job.
Related concept
AWS Glue additional-python-modules
- ✗
Switch to a Glue job using Spark instead of Python
Why it's wrong here
Switching to a Spark job does not address the missing module; you would still need to add the library via --additional-python-modules or install it.
- ✗
Use a Glue Python shell job instead
Why it's wrong here
Incorrect. Python shell jobs do not come pre-installed with scikit-learn; you would still need to add the library.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap is that candidates might think scikit-learn is pre-installed in Python shell jobs, but AWS Glue Python shell jobs do not include scikit-learn by default. The correct approach is to use --additional-python-modules to add the library explicitly.
Detailed technical explanation
How to think about this question
Glue Python shell jobs run in a managed environment with a curated set of pre-installed Python libraries, including scikit-learn, pandas, and numpy, which are commonly used for machine learning data preparation. Under the hood, these jobs execute in a container with a fixed Python version and library set, so adding custom modules requires using the --additional-python-modules parameter only for Spark jobs, where the environment is more flexible. In real-world scenarios, using a Python shell job for lightweight ETL tasks avoids the overhead of spinning up a Spark cluster, reducing job startup time and cost.
KKey Concepts to Remember
- AWS Glue additional-python-modules
- AWS Glue Python shell jobs
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 additional-python-modules
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 additional-python-modules 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.
Review aWS Glue additional-python-modules, then practise related MLA-C01 questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
Data Preparation for Machine Learning — This question tests Data Preparation for Machine Learning — AWS Glue additional-python-modules.
What is the correct answer to this question?
The correct answer is: Add a --additional-python-modules argument to the job with scikit-learn — Option B is correct because AWS Glue jobs (both ETL and Python shell) support the --additional-python-modules job parameter, which allows you to specify extra Python packages to install. This is the standard way to add libraries like scikit-learn that are not pre-installed. It avoids the need to install at runtime (Option A) or switch job types unnecessarily (Option D). Option C switching to Spark would add complexity and not directly solve the missing module.
What should I do if I get this MLA-C01 question wrong?
Review aWS Glue additional-python-modules, then practise related MLA-C01 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
AWS Glue additional-python-modules
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Last reviewed: Jun 24, 2026
This MLA-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 MLA-C01 exam.
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