MLS-C01 Practice Question: Machine Learning Implementation and Operations
A company deploys a machine learning model on Amazon SageMaker for real-time inference. The model receives requests with large payloads (up to 5 MB) and the inference latency is high. Which configuration change would MOST likely reduce latency?
⚠ Common exam trap
A common mix-up: candidates confuse batch size (relevant for batch transform jobs) with real-time inference request size, or assume that multi-model endpoints improve single-request latency, when in fact they add overhead.
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 a larger instance type with more memory and compute
Increasing the instance type to one with more memory and compute directly addresses the bottleneck caused by large payloads (up to 5 MB) and high inference latency. SageMaker real-time endpoints process requests synchronously, so a larger instance provides more CPU/GPU and memory bandwidth to serialize/deserialize and process the payload faster, reducing overall latency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Pre-load multiple model containers on the same endpoint
Why it's wrong here
Pre-loading is not configurable; containers are loaded on demand.
- ✗
Reduce the batch size for inference requests
Why it's wrong here
Reducing batch size increases frequency but not per-request latency.
- ✓
Use a larger instance type with more memory and compute
Why this is correct
Larger instances can process large payloads faster.
- ✗
Enable payload compression using SageMaker built-in compression
Why it's wrong here
SageMaker does not support payload compression.
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Written by Johnson Ajibi, MSc IT Security
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This MLS-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 MLS-C01 exam.