hardMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: Deploying a ML model for real-time fraud…
A company is deploying a ML model for real-time fraud detection using SageMaker. The model must process requests within 50 ms and scale to handle up to 10,000 requests per second during peak hours. The data includes PII, so all traffic must stay within a VPC. The team has configured the SageMaker endpoint with a VPC and an internet gateway for model downloads. During a load test, the endpoint fails to achieve the required throughput. Which change would most likely resolve the issue?
⚠ Common exam trap
Watch out — candidates often assume throughput issues are always solved by scaling compute resources (Option D), when the real bottleneck is network architecture—specifically, the unnecessary internet gateway hop that adds latency and reduces throughput.
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
✓
Use VPC endpoints (interface endpoint for SageMaker and gateway endpoint for S3) to keep traffic within AWS backbone.
The endpoint is currently using an internet gateway for model downloads, which forces traffic out to the public internet and back, adding latency and risking throughput failures. By using VPC interface endpoints for SageMaker and gateway endpoints for S3, all traffic stays within the AWS backbone network, reducing network overhead and meeting the 50 ms latency requirement. This also keeps PII traffic within the VPC, satisfying security constraints.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Remove the VPC configuration and use public endpoints to reduce network overhead.
Why it's wrong here
Removing VPC would break VPC-only requirement and increase latency due to internet egress.
- ✓
Use VPC endpoints (interface endpoint for SageMaker and gateway endpoint for S3) to keep traffic within AWS backbone.
Why this is correct
VPC endpoints reduce latency and keep traffic within AWS network, improving throughput.
- ✗
Add a NAT gateway to allow the SageMaker endpoint to access the internet efficiently.
Why it's wrong here
NAT gateway adds latency and still routes through internet, not optimal.
- ✗
Increase the instance count and use a larger instance type to handle the throughput.
Why it's wrong here
While scaling helps, the fundamental network bottleneck remains; VPC endpoints address the root cause.
Visual reference
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 |
Go deeper
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.