The correct answer is to configure auto-scaling for the endpoint. This is because SageMaker endpoint auto-scaling for high availability dynamically adjusts the number of inference instances based on the incoming traffic load, ensuring the endpoint can handle spikes without becoming unresponsive. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this concept tests your understanding of operational excellence and scaling strategies for production ML workloads—a common trap is confusing instance size (vertical scaling) with instance count (horizontal scaling), or assuming that multiple variants for A/B testing provide redundancy. Remember, auto-scaling uses a target metric like InvocationsPerInstance to maintain responsiveness, while simply increasing instance size leaves you vulnerable to a single point of failure. A useful memory tip: think “horizontal, not vertical” for spikes—add more cars to the fleet, not a bigger engine.
MLS-C01 Modeling Practice Question
This MLS-C01 practice question tests your understanding of modeling. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
Network Topology
A team deployed a SageMaker endpoint with the configuration shown in the exhibit. During a traffic spike, the endpoint becomes unresponsive. Which change to the endpoint configuration would best improve availability?
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
✓
Configure auto-scaling for the endpoint
Option C is correct because adding auto-scaling allows the endpoint to adjust instance count based on load. Option A is wrong because increasing instance size may not handle spikes if only one instance. Option B is wrong because multiple variants for A/B testing don't improve availability. Option D is wrong because reducing instance count worsens availability.
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.
✗
Reduce the initial instance count to 0 and use on-demand invocation
Why it's wrong here
Reducing instance count would cause unavailability during spikes.
✗
Add a second production variant with the same model
Why it's wrong here
Multiple variants are for A/B testing, not for scaling load.
✓
Configure auto-scaling for the endpoint
Why this is correct
Auto-scaling dynamically adds instances during traffic spikes, improving availability.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Change the instance type to ml.m5.xlarge
Why it's wrong here
A larger instance may handle more load but still a single point of failure; auto-scaling is better.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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: Configure auto-scaling for the endpoint — Option C is correct because adding auto-scaling allows the endpoint to adjust instance count based on load. Option A is wrong because increasing instance size may not handle spikes if only one instance. Option B is wrong because multiple variants for A/B testing don't improve availability. Option D is wrong because reducing instance count worsens availability.
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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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.
Question Discussion
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