Access Denied for SageMaker Output: Missing s3:PutObject Permission
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.
A data scientist is trying to create a SageMaker training job but receives an access denied error. The IAM policy attached to the role is shown in the exhibit. What is the most likely cause of the error?
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 for the output location
The correct answer is A because the IAM policy attached to the role must include the s3:PutObject action to allow SageMaker to write the training output to the specified S3 bucket. Without this permission, the training job fails with an access denied error. Option B is incorrect because the policy likely includes sagemaker:CreateTrainingJob permission, which is necessary to start the job. Option C is incorrect because there is no explicit deny statement in the policy. Option D is incorrect because the training job needs to write output, not read from the output bucket; s3:GetObject is not required for the output location.
Key principle: ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
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 s3:PutObject for the output location
Why this is correct
Correct. The policy lacks s3:PutObject permission on the output bucket, which is required for SageMaker to save the training output.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Standard ACLs match source addresses.
✗
The policy does not allow sagemaker:CreateTrainingJob
Why it's wrong here
Incorrect. The policy does include sagemaker:CreateTrainingJob permission, which allows the creation of training jobs.
✗
The policy has an explicit deny on s3:PutObject
Why it's wrong here
Incorrect. There is no explicit deny statement. The error is due to missing permissions, not an explicit deny.
✗
The policy does not allow s3:GetObject on the output bucket
Why it's wrong here
Incorrect. The training job writes output to the S3 bucket, so s3:PutObject is needed, not s3:GetObject.
Common exam traps
Common exam trap: ACLs stop at the first match
ACLs are processed top to bottom. The first matching entry wins, and an implicit deny usually exists at the end.
Trap categories for this question
Command / output trap
Incorrect. The training job writes output to the S3 bucket, so s3:PutObject is needed, not s3:GetObject.
Detailed technical explanation
How to think about this question
ACL questions test precision: source, destination, protocol, port and direction. A generally correct ACL can still fail if it is applied on the wrong interface or in the wrong direction.
KKey Concepts to Remember
Standard ACLs match source addresses.
Extended ACLs can match source, destination, protocol and ports.
The first matching ACL entry is used.
There is usually an implicit deny at the end.
TExam Day Tips
→Check inbound versus outbound direction.
→Read the ACL from top to bottom.
→Look for a broader permit or deny above the intended line.
Key takeaway
ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
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.
Quick reference
AWS S3 Storage Class Comparison
Storage Class
Min Duration
Retrieval
Use Case
S3 Standard
None
Immediate
Frequently accessed data
S3 Standard-IA
30 days
Immediate
Infrequent access, rapid retrieval
S3 One Zone-IA
30 days
Immediate
Non-critical infrequent data
S3 Intelligent-Tiering
None
Immediate–hours
Unknown or changing access patterns
S3 Glacier Instant
90 days
Milliseconds
Archive with instant retrieval
S3 Glacier Flexible
90 days
Minutes–hours
Archive, flexible retrieval
S3 Glacier Deep Archive
180 days
Hours
Long-term compliance archive
What to study next
Got this wrong? Here's your next step.
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related MLS-C01 ACL questions on filtering logic and placement.
Modeling — This question tests Modeling — Standard ACLs match source addresses..
What is the correct answer to this question?
The correct answer is: The policy does not allow s3:PutObject for the output location — The correct answer is A because the IAM policy attached to the role must include the s3:PutObject action to allow SageMaker to write the training output to the specified S3 bucket. Without this permission, the training job fails with an access denied error. Option B is incorrect because the policy likely includes sagemaker:CreateTrainingJob permission, which is necessary to start the job. Option C is incorrect because there is no explicit deny statement in the policy. Option D is incorrect because the training job needs to write output, not read from the output bucket; s3:GetObject is not required for the output location.
What should I do if I get this MLS-C01 question wrong?
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related MLS-C01 ACL questions on filtering logic and placement.
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?
Standard ACLs match source addresses.
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