MLS-C01 Practice Question: Machine Learning Implementation and Operations
Which THREE of the following are valid ways to deploy a model using SageMaker? (Select THREE.)
⚠ Common exam trap
AWS often tests the distinction between SageMaker's managed deployment options (real-time, asynchronous, batch) and external compute services like Lambda or EC2, expecting candidates to recognize that only SageMaker-native endpoints and jobs are considered valid deployment methods within the SageMaker ecosystem.
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
✓
Deploy to a SageMaker batch transform job
SageMaker batch transform jobs allow you to run inference on an entire dataset asynchronously, processing large batches of data without requiring a persistent endpoint. This is ideal for offline predictions where low latency is not needed, and the job automatically manages compute resources, scaling, and output storage.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Deploy to AWS Lambda
Why it's wrong here
SageMaker does not deploy directly to Lambda; you can create a Lambda function to invoke an endpoint.
- ✓
Deploy to a SageMaker batch transform job
Why this is correct
Batch transform processes large batches of data asynchronously.
- ✓
Deploy to a SageMaker asynchronous endpoint
Why this is correct
Asynchronous endpoints handle large payloads with queuing.
- ✓
Deploy to a SageMaker real-time endpoint
Why this is correct
Real-time endpoints provide low-latency inference.
- ✗
Deploy to Amazon EC2 directly
Why it's wrong here
SageMaker does not deploy directly to EC2; you would need to containerize the model.
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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.