- A
Enable AWS CloudTrail for the SageMaker endpoint API calls
CloudTrail logs all API calls, providing an audit trail for security analysis.
- B
Enable AWS Config to monitor endpoint configuration changes
AWS Config tracks resource configuration changes and can detect unauthorized modifications.
- C
Enable SageMaker Data Capture on the endpoint
Why wrong: Data Capture is for collecting inference input and output for later analysis, not for security monitoring.
- D
Enable SageMaker Model Monitor for the endpoint
Why wrong: Model Monitor is used for detecting data drift and model quality issues, not for security monitoring.
- E
Enable Amazon GuardDuty for the endpoint
Why wrong: GuardDuty is a threat detection service for AWS accounts and workloads, but it does not specifically monitor SageMaker endpoint API calls or configuration changes at the resource level.
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 has deployed a SageMaker endpoint for real-time inference. The security team needs to monitor for potential security threats such as unauthorized access attempts and tampering with the model configuration. Which TWO actions should the team take? (Choose TWO.)
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
Enable AWS CloudTrail for the SageMaker endpoint API calls
Option A is correct because AWS CloudTrail records all API calls made to SageMaker endpoints, including calls like InvokeEndpoint, CreateEndpoint, and UpdateEndpoint. By enabling CloudTrail, the security team can audit who made requests, from which IP address, and what actions were performed, which is essential for detecting unauthorized access attempts and monitoring API-level security threats. Option B is correct because AWS Config continuously monitors and records changes to AWS resource configurations, including SageMaker endpoints. It can detect when endpoint configuration changes occur (e.g., instance type, model location) and trigger alerts, helping the team identify potential tampering with model configuration.
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.
- ✓
Enable AWS CloudTrail for the SageMaker endpoint API calls
Why this is correct
CloudTrail logs all API calls, providing an audit trail for security analysis.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Enable AWS Config to monitor endpoint configuration changes
Why this is correct
AWS Config tracks resource configuration changes and can detect unauthorized modifications.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Enable SageMaker Data Capture on the endpoint
Why it's wrong here
Data Capture is for collecting inference input and output for later analysis, not for security monitoring.
- ✗
Enable SageMaker Model Monitor for the endpoint
Why it's wrong here
Model Monitor is used for detecting data drift and model quality issues, not for security monitoring.
- ✗
Enable Amazon GuardDuty for the endpoint
Why it's wrong here
GuardDuty is a threat detection service for AWS accounts and workloads, but it does not specifically monitor SageMaker endpoint API calls or configuration changes at the resource level.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse data monitoring services (Data Capture, Model Monitor) with security monitoring services (CloudTrail, Config), leading them to select options that track model behavior rather than API calls or configuration changes.
Trap categories for this question
Command / output trap
Data Capture is for collecting inference input and output for later analysis, not for security monitoring.
Detailed technical explanation
How to think about this question
AWS CloudTrail delivers log files to an S3 bucket with details such as the user identity (IAM user/role), source IP address, request parameters, and response elements for each SageMaker API call. AWS Config continuously evaluates endpoint configuration changes against desired rules (e.g., ensuring encryption is enabled) and provides a configuration history, which is critical for detecting tampering like unauthorized model updates or endpoint deletion. Together, these services provide both an audit trail of who did what (CloudTrail) and a record of what changed over time (Config), covering the two key security monitoring requirements.
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.
Quick reference
Common DNS Record Types
| Record | Purpose | Example |
|---|---|---|
| A | IPv4 address mapping | example.com → 93.184.216.34 |
| AAAA | IPv6 address mapping | example.com → 2606:2800::1 |
| CNAME | Alias to another hostname | www → example.com |
| MX | Mail server for domain | example.com → mail.example.com (priority 10) |
| TXT | Text data (SPF, DKIM, verification) | v=spf1 include:_spf.example.com ~all |
| NS | Authoritative name servers | example.com NS ns1.example.com |
| PTR | Reverse DNS (IP → hostname) | 34.216.184.93.in-addr.arpa → example.com |
| SOA | Zone authority record | Primary NS, admin email, serial, TTL defaults |
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: Enable AWS CloudTrail for the SageMaker endpoint API calls — Option A is correct because AWS CloudTrail records all API calls made to SageMaker endpoints, including calls like InvokeEndpoint, CreateEndpoint, and UpdateEndpoint. By enabling CloudTrail, the security team can audit who made requests, from which IP address, and what actions were performed, which is essential for detecting unauthorized access attempts and monitoring API-level security threats. Option B is correct because AWS Config continuously monitors and records changes to AWS resource configurations, including SageMaker endpoints. It can detect when endpoint configuration changes occur (e.g., instance type, model location) and trigger alerts, helping the team identify potential tampering with model configuration.
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.