MLS-C01 Practice Question: Machine Learning Implementation and Operations
A data scientist needs to select a model training infrastructure that supports distributed training across multiple GPUs and provides automatic model parallelism. Which TWO AWS services should the scientist consider?
⚠ Common exam trap
Candidates often confuse data processing services (Glue, Redshift) or serverless compute (Lambda) with GPU-accelerated training infrastructure, overlooking that only services explicitly supporting distributed GPU training and model parallelism (SageMaker and EMR) are correct.
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
✓
Amazon EMR
Amazon EMR is correct because it supports distributed training across multiple GPUs using frameworks like TensorFlow, PyTorch, and Apache Spark, and it can automatically handle model parallelism through its integration with Horovod or custom distributed training scripts. Amazon SageMaker is correct because it provides built-in distributed training libraries (e.g., SageMaker Distributed Data Parallel and Model Parallel) that automatically partition model layers across multiple GPUs, enabling efficient training of large models.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS Glue
Why it's wrong here
Glue is for ETL, not model training.
- ✗
AWS Lambda
Why it's wrong here
Lambda has resource limits unsuitable for distributed training.
- ✗
Amazon Redshift
Why it's wrong here
Redshift is a data warehouse, not for training.
- ✓
Amazon EMR
Why this is correct
EMR with Spark MLlib can perform distributed training.
- ✓
Amazon SageMaker
Why this is correct
SageMaker offers distributed training libraries and model parallelism.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.