Question 429 of 500
Guidelines for Responsible AImediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is a lack of least privilege access control. This configuration raises a responsible AI concern because the IAM policy grants sagemaker:InvokeEndpoint on all resources (*), meaning the SageMaker execution role can invoke any endpoint in the account, not just those required for its task. Such excessive permissions violate the principle of least privilege, potentially enabling unauthorized inferences or data exposure, which undermines trust and accountability in AI systems. On the AWS Certified AI Practitioner AIF-C01 exam, this scenario tests your ability to link IAM policy analysis with responsible AI principles—specifically, how overly permissive access can lead to security and ethical risks. A common trap is confusing this with data residency or model monitoring, but the log entry only shows a resource-level permission issue. Remember the mnemonic: “Star (*) in the resource is a responsible AI curse.”

AIF-C01 Guidelines for Responsible AI Practice Question

This AIF-C01 practice question tests your understanding of guidelines for responsible ai. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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

{
  "eventName": "PutRolePolicy",
  "requestParameters": {
    "roleName": "SageMakerExecutionRole",
    "policyDocument": {
      "Version": "2012-10-17",
      "Statement": [
        {
          "Effect": "Allow",
          "Action": "sagemaker:InvokeEndpoint",
          "Resource": "*"
        }
      ]
    }
  }
}

Refer to the exhibit. An AWS CloudTrail log shows the creation of an IAM policy for a SageMaker execution role. Which responsible AI concern does this configuration raise?

Question 1mediummultiple choice
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Exhibit

{
  "eventName": "PutRolePolicy",
  "requestParameters": {
    "roleName": "SageMakerExecutionRole",
    "policyDocument": {
      "Version": "2012-10-17",
      "Statement": [
        {
          "Effect": "Allow",
          "Action": "sagemaker:InvokeEndpoint",
          "Resource": "*"
        }
      ]
    }
  }
}

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

Lack of least privilege access control

The policy allows sagemaker:InvokeEndpoint on all resources (*), violating the principle of least privilege. This could allow the role to invoke any SageMaker endpoint, potentially leading to unauthorized inferences. Model monitoring, training data, and data residency are not addressed by this log entry.

Key principle: Authentication proves identity; authorization controls what that identity can do after login. Both must work for full privileged access.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Insufficient training data

    Why it's wrong here

    The policy does not relate to training data adequacy.

  • Lack of least privilege access control

    Why this is correct

    The wildcard resource exposes all endpoints to potential misuse.

    Related concept

    Authentication checks who the user is.

  • Violation of data residency requirements

    Why it's wrong here

    Data residency is about geographic location of data, not addressed here.

  • Absence of model monitoring

    Why it's wrong here

    The log does not indicate whether monitoring is configured; it only shows a policy.

Common exam traps

Common exam trap: authentication is not authorization

Logging in proves the user can authenticate. It does not automatically mean the user is allowed to enter privileged or configuration mode. Watch for AAA authorization, privilege level and command authorization details.

Trap categories for this question

  • Command / output trap

    The log does not indicate whether monitoring is configured; it only shows a policy.

Detailed technical explanation

How to think about this question

This kind of question is testing the difference between identity and permission. A user may successfully log in to a router because authentication is working, but still fail to enter configuration mode because authorization is missing, misconfigured or mapped to a lower privilege level.

KKey Concepts to Remember

  • Authentication checks who the user is.
  • Authorization controls what the user is allowed to do after login.
  • Privilege levels affect access to EXEC and configuration commands.
  • AAA, TACACS+ and RADIUS can separate login success from command access.

TExam Day Tips

  • Do not assume successful login means full administrative access.
  • Look for words such as cannot enter configuration mode, privilege level, authorization or command access.
  • Separate login problems from permission problems before choosing the answer.

Key takeaway

Authentication proves identity; authorization controls what that identity can do after login. Both must work for full privileged access.

Real-world example

How this comes up in practice

A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.

What to study next

Got this wrong? Here's your next step.

Review Cisco AAA concepts — authentication, authorization, and accounting. Study privilege levels (0–15), command authorization under TACACS+, and how RADIUS differs. Then practise related AIF-C01 questions on access control and AAA configuration.

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FAQ

Questions learners often ask

What does this AIF-C01 question test?

Guidelines for Responsible AI — This question tests Guidelines for Responsible AI — Authentication checks who the user is..

What is the correct answer to this question?

The correct answer is: Lack of least privilege access control — The policy allows sagemaker:InvokeEndpoint on all resources (*), violating the principle of least privilege. This could allow the role to invoke any SageMaker endpoint, potentially leading to unauthorized inferences. Model monitoring, training data, and data residency are not addressed by this log entry.

What should I do if I get this AIF-C01 question wrong?

Review Cisco AAA concepts — authentication, authorization, and accounting. Study privilege levels (0–15), command authorization under TACACS+, and how RADIUS differs. Then practise related AIF-C01 questions on access control and AAA configuration.

What is the key concept behind this question?

Authentication checks who the user is.

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Last reviewed: Jun 23, 2026

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