MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
An ML engineer needs to compile a trained TensorFlow model to run efficiently on a target edge device with an ARM CPU. Which AWS service should they use?
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
✓
SageMaker Neo
SageMaker Neo compiles trained models for specific hardware targets, including ARM CPUs, to optimize inference performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
SageMaker Debugger
Why it's wrong here
Debugger monitors training, not compilation for edge deployment.
- ✗
AWS Inferentia
Why it's wrong here
Inferentia is AWS custom inference chip, but compilation is done via Neo; Inferentia itself is not the service.
- ✓
SageMaker Neo
Why this is correct
Neo optimizes models for target hardware, including ARM CPUs, using its compiler.
- ✗
Amazon Elastic Inference
Why it's wrong here
Elastic Inference attaches GPU acceleration to SageMaker instances, but does not compile models for edge devices.
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Same concept, more angles
1 more way this is tested on MLA-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which SageMaker feature compiles a trained model into an optimized binary for a specific hardware target (e.g., Intel, ARM, NVIDIA, or edge devices) to improve inference performance?
easy- A.SageMaker Model Monitor
- ✓ B.SageMaker Neo
- C.Amazon Elastic Inference
- D.SageMaker Clarify
Why B: SageMaker Neo is a model compilation service that optimizes models for specific hardware targets. Amazon Elastic Inference attaches GPU acceleration to endpoints, but does not compile models. Model Monitor monitors quality. SageMaker Clarify explains predictions.
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.