The answer is real-time endpoints, batch transform jobs, and asynchronous endpoints. These three are the valid SageMaker deployment methods because they cover the full spectrum of inference needs: real-time endpoints provide low-latency predictions for live traffic, batch transform jobs process large datasets offline in a single pass, and asynchronous endpoints handle high-volume requests with longer processing times without requiring persistent connections. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding of SageMaker’s native deployment options versus common misconceptions—trap answers often suggest deploying directly to AWS Lambda or raw EC2 instances, which SageMaker does not support without additional containerization or custom wrappers. A reliable memory tip is to think of the three modes as “live, offline, and queued,” corresponding to real-time, batch, and async, respectively.
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which THREE of the following are valid ways to deploy a model using SageMaker? (Select THREE.)
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
Options A, C, and E are correct. SageMaker can deploy to a real-time endpoint (A), a batch transform job (C), or an asynchronous endpoint (E). Option B is wrong because SageMaker does not deploy directly to Lambda. Option D is wrong because SageMaker does not deploy to EC2 directly without containerization.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Related concept
Read the scenario before looking for a memorised answer.
✓
Deploy to a SageMaker asynchronous endpoint
Why this is correct
Asynchronous endpoints handle large payloads with queuing.
Related concept
Read the scenario before looking for a memorised answer.
✓
Deploy to a SageMaker real-time endpoint
Why this is correct
Real-time endpoints provide low-latency inference.
Related concept
Read the scenario before looking for a memorised answer.
✗
Deploy to Amazon EC2 directly
Why it's wrong here
SageMaker does not deploy directly to EC2; you would need to containerize the model.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Deploy to a SageMaker batch transform job — Options A, C, and E are correct. SageMaker can deploy to a real-time endpoint (A), a batch transform job (C), or an asynchronous endpoint (E). Option B is wrong because SageMaker does not deploy directly to Lambda. Option D is wrong because SageMaker does not deploy to EC2 directly without containerization.
What should I do if I get this MLS-C01 question wrong?
Identify which MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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