This MLS-C01 practice question tests your understanding of modeling. 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.
Refer to the exhibit. A data scientist is trying to run a SageMaker training job using a script that reads data from the S3 bucket 'my-bucket' and writes the model artifact to the same bucket. The training job fails with an access denied error. What is the likely cause?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The IAM role does not have permission to write to the S3 bucket for the model artifact
The training job fails with an access denied error because the IAM role used by SageMaker lacks the s3:PutObject permission (or equivalent write access) for the S3 bucket 'my-bucket'. While the script reads data from the bucket, writing the model artifact requires explicit write permissions on the same bucket. Without this, SageMaker cannot upload the model artifact, causing the job to fail.
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.
✓
The IAM role does not have permission to write to the S3 bucket for the model artifact
Why this is correct
The policy only allows PutObject on training-data/*, but the model artifact might be saved to a different prefix (e.g., output/).
Related concept
Read the scenario before looking for a memorised answer.
✗
The IAM role does not have sagemaker:CreateModel permission
Why it's wrong here
CreateModel is needed for deployment, not training.
✗
The IAM role does not have s3:ListBucket permission
Why it's wrong here
ListBucket is not required for reading or writing objects if the exact key is known.
✗
The IAM role does not have ec2:DescribeInstances permission
Why it's wrong here
EC2 permissions are not required for SageMaker training jobs.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may focus on the read operation (data input) and overlook the write operation (model artifact output), or confuse S3 permissions with SageMaker-specific API actions like CreateModel.
Detailed technical explanation
How to think about this question
SageMaker training jobs use an IAM role to assume permissions for S3 read/write operations. The training script typically uses the SageMaker SDK or boto3 to write the model artifact to S3, which requires s3:PutObject on the bucket and object prefix. A common subtlety is that the IAM role must also have s3:GetObject for reading, but the error specifically points to write access. In real-world scenarios, misconfigured bucket policies or KMS encryption keys can also cause access denied errors even if the IAM role has the correct S3 permissions.
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.
Modeling — This question tests Modeling — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The IAM role does not have permission to write to the S3 bucket for the model artifact — The training job fails with an access denied error because the IAM role used by SageMaker lacks the s3:PutObject permission (or equivalent write access) for the S3 bucket 'my-bucket'. While the script reads data from the bucket, writing the model artifact requires explicit write permissions on the same bucket. Without this, SageMaker cannot upload the model artifact, causing the job to fail.
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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Question Discussion
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