Quick Answer
The answer is that the training job is using a custom container that does not have XGBoost installed. This error occurs because SageMaker’s built-in XGBoost algorithm comes pre-configured with the necessary Python environment, including the xgboost module; however, if a data scientist overrides the default container with a custom image—perhaps to add other libraries—the new container may lack the xgboost package entirely, causing the “No module named xgboost” failure. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this scenario tests your understanding of SageMaker’s container architecture and the distinction between built-in algorithms and custom containers—a common trap is assuming the error stems from data format or permissions when it is purely an environment mismatch. Remember: if the module is missing, check the container, not the data.
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. 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.
A data scientist is using SageMaker to train a model using the built-in XGBoost algorithm. The training job fails with the error 'AlgorithmError: Framework error: No module named 'xgboost''. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
The training data is not in CSV format.
Why wrong: Would cause a data parsing error, not module error.
The training job is using a custom container that does not have XGBoost installed.
Missing module indicates container issue.
The IAM role does not have permission to access SageMaker.
Why wrong: Would cause access denied errors.
The S3 output path is incorrect.
Why wrong: Would cause failure at end, not start.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
The training job is using a custom container that does not have XGBoost installed.
Option B is correct because the built-in XGBoost algorithm requires the 'xgboost' Python package; SageMaker's built-in algorithms provide the necessary environment, but if the container is overridden or the wrong image is used, the module may be missing. Option A is wrong because the error is about missing module, not data format. Option C is wrong because the error is not about permissions. Option D is wrong because the error is not about output path.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
The training data is not in CSV format.
Why it's wrong here
Would cause a data parsing error, not module error.
The training job is using a custom container that does not have XGBoost installed.
Why this is correct
Missing module indicates container issue.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
The IAM role does not have permission to access SageMaker.
Why it's wrong here
Would cause access denied errors.
The S3 output path is incorrect.
Why it's wrong here
Would cause failure at end, not start.
Common exam traps
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
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
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related MLS-C01 NAT questions on configuration and troubleshooting.
Machine Learning Implementation and Operations — study guide chapter
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FAQ
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Static NAT maps one inside address to one outside address..
The correct answer is: The training job is using a custom container that does not have XGBoost installed. — Option B is correct because the built-in XGBoost algorithm requires the 'xgboost' Python package; SageMaker's built-in algorithms provide the necessary environment, but if the container is overridden or the wrong image is used, the module may be missing. Option A is wrong because the error is about missing module, not data format. Option C is wrong because the error is not about permissions. Option D is wrong because the error is not about output path.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related MLS-C01 NAT questions on configuration and troubleshooting.
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 20, 2026
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