The answer is to enable automatic scaling on the endpoint using Application Auto Scaling. This is the correct approach because SageMaker endpoints integrate directly with Application Auto Scaling to dynamically adjust the number of instances based on demand, using custom metrics like SageMakerVariantInvocationsPerInstance to trigger scale-out during traffic spikes and scale-in when traffic drops, which directly addresses high latency while controlling costs. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this concept tests your understanding of operational efficiency for real-time inference; a common trap is confusing this with provisioned concurrency (which is for Lambda, not SageMaker) or assuming Spot Instances are suitable for latency-sensitive endpoints. Remember, for SageMaker endpoint automatic scaling, think "invocations per instance" as your trigger—if it climbs, scale out; if it drops, scale in. Memory tip: "Auto Scale the Sage, not the Spot."
MLS-C01 Modeling Practice Question
This MLS-C01 practice question tests your understanding of modeling. 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.
A company uses SageMaker to host a real-time inference endpoint for a classification model. The endpoint receives traffic spikes that cause high latency. The team wants a solution that automatically scales based on demand while keeping costs low. Which approach is BEST?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable automatic scaling on the endpoint using Application Auto Scaling
SageMaker endpoints support automatic scaling with Application Auto Scaling based on custom metrics like 'InvocationsPerInstance' or 'SageMakerVariantInvocationsPerInstance'. Provisioned concurrency is not available for SageMaker endpoints. Spot instances are not recommended for real-time endpoints due to interruptions. Multi-model endpoints help but scaling is still needed.
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.
✗
Use provisioned concurrency for the endpoint
Why it's wrong here
Provisioned concurrency is a Lambda feature, not available for SageMaker endpoints.
✗
Use a multi-model endpoint to serve multiple models
Why it's wrong here
Multi-model endpoints reduce cost but still need scaling to handle spikes.
✗
Deploy the endpoint on Spot Instances
Why it's wrong here
Spot instances can be interrupted, leading to inference failures.
✓
Enable automatic scaling on the endpoint using Application Auto Scaling
Why this is correct
Automatic scaling adjusts instance count based on demand, balancing cost and latency.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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.
Modeling — This question tests Modeling — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable automatic scaling on the endpoint using Application Auto Scaling — SageMaker endpoints support automatic scaling with Application Auto Scaling based on custom metrics like 'InvocationsPerInstance' or 'SageMakerVariantInvocationsPerInstance'. Provisioned concurrency is not available for SageMaker endpoints. Spot instances are not recommended for real-time endpoints due to interruptions. Multi-model endpoints help but scaling is still needed.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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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