- A
Include 'pip install <package>' in the processing script
Why wrong: Works but slows down every run; not best practice.
- B
Use the SageMaker prebuilt deep learning container with the package
Why wrong: Prebuilt containers may not have the required package.
- C
Place a requirements.txt file in the input data S3 bucket
Why wrong: SageMaker does not automatically install from it.
- D
Create a custom Docker image that includes the package and use it for the Processing job
Standard best practice for custom dependencies.
Question 435 of 1,755
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
An ML team is using SageMaker Processing jobs to run feature engineering scripts. The scripts require a specific Python package not included in the default SageMaker image. How should the team provide this package?
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
✓
Create a custom Docker image that includes the package and use it for the Processing job
Option D is correct because SageMaker Processing jobs run in isolated Docker containers, and the default SageMaker images only include pre-installed packages. To add a custom Python package, the team must create a custom Docker image that includes the package (e.g., via a Dockerfile with 'pip install <package>'), then specify that image URI in the Processing job configuration. This ensures the package is available in the container environment before the script executes.
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.
- ✗
Include 'pip install <package>' in the processing script
Why it's wrong here
Works but slows down every run; not best practice.
- ✗
Use the SageMaker prebuilt deep learning container with the package
Why it's wrong here
Prebuilt containers may not have the required package.
- ✗
Place a requirements.txt file in the input data S3 bucket
Why it's wrong here
SageMaker does not automatically install from it.
- ✓
Create a custom Docker image that includes the package and use it for the Processing job
Why this is correct
Standard best practice for custom dependencies.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
AWS often tests the misconception that runtime commands (like 'pip install' in the script) or external configuration files (like requirements.txt in S3) can modify the container environment, when in fact SageMaker Processing jobs require all dependencies to be pre-installed in the Docker image.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker Processing jobs use the 'CreateProcessingJob' API, which accepts an 'ImageUri' parameter pointing to a Docker image in Amazon ECR. When building a custom image, the team should use a SageMaker-compatible base image (e.g., 'sagemaker-processing:1.0') and add the package via 'RUN pip install <package>' in the Dockerfile. A subtle behavior: if the package has native dependencies (e.g., C extensions), those must also be installed in the image, as the container cannot dynamically compile them at runtime without the proper build tools.
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.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a custom Docker image that includes the package and use it for the Processing job — Option D is correct because SageMaker Processing jobs run in isolated Docker containers, and the default SageMaker images only include pre-installed packages. To add a custom Python package, the team must create a custom Docker image that includes the package (e.g., via a Dockerfile with 'pip install <package>'), then specify that image URI in the Processing job configuration. This ensures the package is available in the container environment before the script executes.
What should I do if I get this MLS-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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