Question 395 of 507
ML Solution Monitoring, Maintenance and SecurityhardMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is that the training job will succeed and write the model artifact. This outcome hinges on the fundamental IAM policy evaluation rule that an explicit Deny always overrides any Allow, but only for the specific resources and actions it targets. In this case, the Deny statement blocks PutObject exclusively on the object ‘sensitive-data.csv’, while the Allow statement grants PutObject broadly on the bucket; since the training job writes to ‘model.tar.gz’, a different object, the Deny does not apply, and the Allow takes effect. On the AWS Certified Machine Learning Engineer Associate MLA-C01 exam, this scenario tests your understanding of how IAM policy evaluation logic works with S3, especially the common trap of assuming a Deny blocks all actions on a bucket rather than on a specific object key. A useful memory tip is “Deny is a sniper, not a shotgun”—it only blocks what it explicitly names, so always check the exact resource ARN in the Deny statement before concluding a conflict.

MLA-C01 Practice Question: ML Solution Monitoring, Maintenance and Security

This MLA-C01 practice question tests your understanding of ml solution monitoring, maintenance and security. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.

Exhibit

Refer to the exhibit.
```
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "sagemaker:CreateTrainingJob",
                "sagemaker:DescribeTrainingJob",
                "sagemaker:StopTrainingJob"
            ],
            "Resource": "*"
        },
        {
            "Effect": "Allow",
            "Action": [
                "s3:GetObject",
                "s3:PutObject"
            ],
            "Resource": "arn:aws:s3:::my-bucket/training/*"
        },
        {
            "Effect": "Deny",
            "Action": "s3:PutObject",
            "Resource": "arn:aws:s3:::my-bucket/training/sensitive-data.csv"
        }
    ]
}
```

Refer to the exhibit. A SageMaker execution role has the IAM policy shown. The team attempts to run a training job that writes results to 's3://my-bucket/training/output/model.tar.gz'. What will happen?

Question 1hardmultiple choice
Full question →

Exhibit

Refer to the exhibit.
```
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "sagemaker:CreateTrainingJob",
                "sagemaker:DescribeTrainingJob",
                "sagemaker:StopTrainingJob"
            ],
            "Resource": "*"
        },
        {
            "Effect": "Allow",
            "Action": [
                "s3:GetObject",
                "s3:PutObject"
            ],
            "Resource": "arn:aws:s3:::my-bucket/training/*"
        },
        {
            "Effect": "Deny",
            "Action": "s3:PutObject",
            "Resource": "arn:aws:s3:::my-bucket/training/sensitive-data.csv"
        }
    ]
}
```

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

The training job will succeed and write the model artifact.

Option C is correct. The Deny statement blocks PutObject on the specific object 'sensitive-data.csv', but the write to 'model.tar.gz' is allowed by the second statement. There is no explicit deny on 'model.tar.gz'. Option A is wrong because the Deny is specific. Option B is wrong because there is no conflict; Deny only applies to that one object. Option D is wrong because the Deny does not affect this write.

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 training job will fail because the Deny statement blocks all PutObject actions.

    Why it's wrong here

    Deny is scoped to a specific object.

  • The training job will succeed and write the model artifact.

    Why this is correct

    The Deny does not affect this resource.

    Related concept

    Standard ACLs match source addresses.

  • The training job will fail because the Deny statement overrides the Allow.

    Why it's wrong here

    Deny overrides Allow for the specified resource only.

  • The training job will succeed, but the output file will be encrypted with a different key.

    Why it's wrong here

    No encryption key implications from this policy.

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.

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.

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 MLA-C01 ACL questions on filtering logic and placement.

Related practice questions

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FAQ

Questions learners often ask

What does this MLA-C01 question test?

ML Solution Monitoring, Maintenance and Security — This question tests ML Solution Monitoring, Maintenance and Security — Standard ACLs match source addresses..

What is the correct answer to this question?

The correct answer is: The training job will succeed and write the model artifact. — Option C is correct. The Deny statement blocks PutObject on the specific object 'sensitive-data.csv', but the write to 'model.tar.gz' is allowed by the second statement. There is no explicit deny on 'model.tar.gz'. Option A is wrong because the Deny is specific. Option B is wrong because there is no conflict; Deny only applies to that one object. Option D is wrong because the Deny does not affect this write.

What should I do if I get this MLA-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 MLA-C01 ACL questions on filtering logic and placement.

What is the key concept behind this question?

Standard ACLs match source addresses.

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Last reviewed: Jun 23, 2026

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This MLA-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 MLA-C01 exam.