- A
Set the notebook instance's Direct Internet Access to disabled and use IAM authentication.
Why wrong: Direct Internet Access controls internet connectivity, not notebook access.
- B
Grant the specific IAM role permission to call sagemaker:CreatePresignedNotebookInstanceUrl on that notebook instance.
This action generates a presigned URL for accessing the notebook, and restricting it to the role enforces access control.
- C
Use AWS Systems Manager to proxy SSH access, then use IAM permission.
Why wrong: Systems Manager is for SSH, but notebook instances use JupyterLab via presigned URL.
- D
Configure the notebook instance to use a VPC and restrict access via security groups.
Why wrong: VPC and security groups control network access, not IAM user/role access.
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. 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.
A company wants to restrict access to a SageMaker notebook instance so that only a specific IAM role can open the notebook via JupyterLab. The notebook instance is associated with a lifecycle configuration that installs custom packages. What is the correct way to enforce access control?
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
Grant the specific IAM role permission to call sagemaker:CreatePresignedNotebookInstanceUrl on that notebook instance.
Option B is correct because the `sagemaker:CreatePresignedNotebookInstanceUrl` API action generates a URL that provides authenticated access to the notebook instance's JupyterLab interface. By granting this permission only to the specific IAM role, you ensure that only that role can call the API and obtain the presigned URL, effectively restricting access to the notebook. This is the native, recommended way to control access to a SageMaker notebook instance without relying on network-level controls or SSH proxies.
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.
- ✗
Set the notebook instance's Direct Internet Access to disabled and use IAM authentication.
Why it's wrong here
Direct Internet Access controls internet connectivity, not notebook access.
- ✓
Grant the specific IAM role permission to call sagemaker:CreatePresignedNotebookInstanceUrl on that notebook instance.
Why this is correct
This action generates a presigned URL for accessing the notebook, and restricting it to the role enforces access control.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use AWS Systems Manager to proxy SSH access, then use IAM permission.
Why it's wrong here
Systems Manager is for SSH, but notebook instances use JupyterLab via presigned URL.
- ✗
Configure the notebook instance to use a VPC and restrict access via security groups.
Why it's wrong here
VPC and security groups control network access, not IAM user/role access.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse network-level controls (VPC, security groups, disabling internet access) with identity-based access control, mistakenly thinking that restricting network access is sufficient to prevent unauthorized users from opening the notebook, when in fact the presigned URL API is the only mechanism that ties JupyterLab access to a specific IAM role.
Detailed technical explanation
How to think about this question
Under the hood, `CreatePresignedNotebookInstanceUrl` returns a URL that is signed with the caller's IAM credentials and includes a session token; this URL is valid for a limited time (default 12 hours) and can only be generated by a principal with the explicit `sagemaker:CreatePresignedNotebookInstanceUrl` permission. A real-world scenario where this matters is when you have multiple data scientists sharing a single notebook instance but need to audit who accessed it; by restricting the API to a specific role, you can use CloudTrail to log every URL generation event. A subtle behavior is that the presigned URL itself does not enforce MFA or session policies beyond the caller's IAM session, so you should combine this with a condition key like `aws:SourceArn` or `aws:RequestedRegion` for additional security.
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 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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
ML Solution Monitoring, Maintenance and Security — study guide chapter
Learn the concepts, then practise the questions
- →
ML Solution Monitoring, Maintenance and Security practice questions
Targeted practice on this topic area only
- →
All MLA-C01 questions
1,000 questions across all exam domains
- →
AWS Certified Machine Learning Engineer Associate MLA-C01 study guide
Full concept coverage aligned to exam objectives
- →
MLA-C01 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related MLA-C01 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
ML Model Development practice questions
Practise MLA-C01 questions linked to ML Model Development.
Data Preparation for Machine Learning practice questions
Practise MLA-C01 questions linked to Data Preparation for Machine Learning.
Deployment and Orchestration of ML Workflows practice questions
Practise MLA-C01 questions linked to Deployment and Orchestration of ML Workflows.
ML Solution Monitoring, Maintenance, and Security practice questions
Practise MLA-C01 questions linked to ML Solution Monitoring, Maintenance, and Security.
ML Solution Monitoring, Maintenance and Security practice questions
Practise MLA-C01 questions linked to ML Solution Monitoring, Maintenance and Security.
MLA-C01 fundamentals practice questions
Practise MLA-C01 questions linked to MLA-C01 fundamentals.
MLA-C01 scenario practice questions
Practise MLA-C01 questions linked to MLA-C01 scenario.
MLA-C01 troubleshooting practice questions
Practise MLA-C01 questions linked to MLA-C01 troubleshooting.
Practice this exam
Start a free MLA-C01 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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 — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Grant the specific IAM role permission to call sagemaker:CreatePresignedNotebookInstanceUrl on that notebook instance. — Option B is correct because the `sagemaker:CreatePresignedNotebookInstanceUrl` API action generates a URL that provides authenticated access to the notebook instance's JupyterLab interface. By granting this permission only to the specific IAM role, you ensure that only that role can call the API and obtain the presigned URL, effectively restricting access to the notebook. This is the native, recommended way to control access to a SageMaker notebook instance without relying on network-level controls or SSH proxies.
What should I do if I get this MLA-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.
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 →
Keep practising
More MLA-C01 practice questions
- A team is using SageMaker Pipelines to train a model. The pipeline has multiple steps: data processing, training, evalua…
- A machine learning team deploys a custom container image for an Amazon SageMaker training job. The container needs to ac…
- A machine learning engineer sees the above error in Amazon CloudWatch Logs for a SageMaker endpoint. What is the most li…
- A data scientist has trained a model that achieves 95% accuracy on the training set but only 70% on the test set. Which…
- Refer to the exhibit. A data scientist reviews the output of a SageMaker training job. The model has 95% training accura…
- A team is using Amazon SageMaker to train a neural network. They want to minimize training time while effectively explor…
Last reviewed: Jul 4, 2026
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.