The answer is that the policy does not allow s3:PutObject on the output location, specifically s3://my-bucket/output/. This is the most likely cause of the SageMaker training job failure because while the policy grants read access via s3:GetObject for the training-data prefix, it only allows s3:PutObject on that same prefix, not on the separate output prefix where the training job needs to write results. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this scenario tests your understanding of how IAM resource-level permissions interact with SageMaker’s data access patterns—a common trap is assuming that write permission on one prefix extends to all prefixes in the same bucket. Remember the key distinction: SageMaker training jobs require explicit s3:PutObject on the exact output path, not just on the input path. A useful memory tip is “read from train, write to output—each prefix needs its own PutObject.”
MLS-C01 Modeling Practice Question
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. An IAM policy is attached to a SageMaker notebook instance. The data scientist runs a training job that reads from s3://my-bucket/training-data/ and writes to s3://my-bucket/output/. The training job fails with an access denied error. 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.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The policy does not allow s3:PutObject on the output location
The policy allows s3:PutObject only for the training-data prefix, not the output prefix. The training job needs write access to the output bucket. Option A is wrong because the policy does include s3:GetObject. Option B is wrong because SageMaker actions are allowed. Option D is wrong because the policy allows specific actions.
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 policy does not allow sagemaker:CreateTrainingJob
Why it's wrong here
The policy allows sagemaker:CreateTrainingJob on all resources.
✓
The policy does not allow s3:PutObject on the output location
Why this is correct
The s3:PutObject action is restricted to the training-data prefix only.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The policy is missing the sagemaker:InvokeEndpoint action
Why it's wrong here
InvokeEndpoint is not needed for training jobs.
✗
The policy does not allow s3:GetObject on the training data
Why it's wrong here
The policy does allow s3:GetObject on training-data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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 policy does not allow s3:PutObject on the output location — The policy allows s3:PutObject only for the training-data prefix, not the output prefix. The training job needs write access to the output bucket. Option A is wrong because the policy does include s3:GetObject. Option B is wrong because SageMaker actions are allowed. Option D is wrong because the policy allows specific actions.
What should I do if I get this MLS-C01 question wrong?
Identify which MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. An IAM policy attached to a SageMaker execution role is shown. A training job executed with this role fails with an error that the role cannot access the S3 bucket. The training job uses input data from s3://my-bucket/train/data.csv and output to s3://my-bucket/output/. What is the most likely cause?
medium
A.The training job does not have s3:GetObject permission for the input data
B.The training data is encrypted with SSE-KMS and the role lacks KMS permissions
✓ C.The training job does not have s3:PutObject permission for the output location
D.The S3 bucket is in a different region than the training job
Why C: Option C is correct because the error message indicates the role cannot access the S3 bucket, which typically occurs when the role lacks write permissions to the output location. The training job needs s3:PutObject permission to write the output artifacts (model, logs, etc.) to s3://my-bucket/output/. Without this permission, SageMaker fails to save the training results, resulting in an access error.
Variation 2. Refer to the exhibit. An IAM policy is attached to a SageMaker notebook instance role. When the data scientist tries to run a training job that writes model artifacts to 's3://my-bucket/models/', the job fails with an access denied error. What is the MOST likely cause?
medium
A.The IAM role does not have a trust policy
✓ B.Missing s3:PutObject permission for the output S3 bucket
C.The policy does not include any S3 actions
D.The sagemaker:CreateTrainingJob action is not allowed on the specific resource
Why B: The error occurs because the IAM policy attached to the SageMaker notebook instance role does not grant the s3:PutObject permission on the 's3://my-bucket/models/' path. SageMaker training jobs require this permission to write model artifacts to the specified S3 output bucket. Without it, the API call to upload the model fails with an access denied error, even if other S3 actions are allowed.
Last reviewed: Jun 20, 2026
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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.
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