- A
Use a single large instance type instead of multiple smaller instances.
Why wrong: A single instance is a single point of failure and may not scale.
- B
Manually increase the instance count before the event.
Why wrong: Manual scaling is not automated and may be missed.
- C
Use only dynamic scaling based on the average latency metric.
Why wrong: Dynamic scaling may have a lag and cannot pre-empt spikes.
- D
Use scheduled scaling to add instances before the event, combined with dynamic scaling for the remaining duration.
Scheduled scaling pre-warms the endpoint to handle the spike.
Quick Answer
The answer is to use scheduled scaling to add instances before the promotional event, combined with dynamic scaling for the remaining duration. This is correct because scheduled scaling proactively provisions capacity ahead of a known traffic spike, avoiding the cold-start lag that dynamic scaling alone would suffer when facing a sudden 10x surge. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this scenario tests your understanding that dynamic scaling reacts to metrics like CPU utilization or latency, but a 10x spike can overwhelm an endpoint before the auto-scaling policy triggers and new instances become ready. A common trap is choosing only dynamic scaling, which fails to pre-warm the endpoint, or selecting manual scaling, which requires human intervention and is not automated. Remember the memory tip: “Schedule the surge, then let dynamic scaling hold the line” — use scheduled scaling for known events and dynamic scaling to handle ongoing fluctuations after the initial burst.
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.
A machine learning engineer is deploying a model on SageMaker and needs to ensure that the endpoint can handle a sudden spike in traffic. The engineer expects traffic to increase by 10x during a promotional event. Which scaling strategy should be used?
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
Use scheduled scaling to add instances before the event, combined with dynamic scaling for the remaining duration.
Option A is correct because scheduled scaling can add additional instances before the expected spike. Option B is wrong because dynamic scaling may not react quickly enough to a sudden 10x spike. Option C is wrong because manual scaling requires human intervention. Option D is wrong because a single large instance provides no redundancy and may not handle the spike.
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 a single large instance type instead of multiple smaller instances.
Why it's wrong here
A single instance is a single point of failure and may not scale.
- ✗
Manually increase the instance count before the event.
Why it's wrong here
Manual scaling is not automated and may be missed.
- ✗
Use only dynamic scaling based on the average latency metric.
Why it's wrong here
Dynamic scaling may have a lag and cannot pre-empt spikes.
- ✓
Use scheduled scaling to add instances before the event, combined with dynamic scaling for the remaining duration.
Why this is correct
Scheduled scaling pre-warms the endpoint to handle the spike.
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
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.
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Machine Learning Implementation and Operations — study guide chapter
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
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: Use scheduled scaling to add instances before the event, combined with dynamic scaling for the remaining duration. — Option A is correct because scheduled scaling can add additional instances before the expected spike. Option B is wrong because dynamic scaling may not react quickly enough to a sudden 10x spike. Option C is wrong because manual scaling requires human intervention. Option D is wrong because a single large instance provides no redundancy and may not handle the spike.
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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Last reviewed: Jun 20, 2026
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.
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