- A
Enable provisioned concurrency on the endpoint
Why wrong: Provisioned concurrency is a Lambda feature, not available for SageMaker endpoints.
- B
Pre-warm the endpoint by sending dummy requests
Why wrong: Pre-warming is not a supported SageMaker feature; dummy requests would incur cost and may not trigger auto-scaling effectively.
- C
Use a scheduled scaling action to add capacity before the expected spike
Scheduled scaling can increase the desired capacity in advance of known traffic patterns, reducing latency during the spike.
- D
Switch to a step scaling policy with a higher cooldown period
Why wrong: Step scaling still reacts to metric changes; it may not be fast enough for sudden spikes and a higher cooldown could delay further scaling.
Question 441 of 1,000
MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
This MLA-C01 practice question tests your understanding of ml solution monitoring, maintenance, and security. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 deploys a real-time inference endpoint with auto-scaling using a target tracking policy based on average Invocations per instance. They notice that during a traffic spike, the endpoint scales out too late, causing increased latency. They want to scale proactively before the spike. Which strategy should they implement?
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 a scheduled scaling action to add capacity before the expected spike
Scheduled scaling with Application Auto Scaling can anticipate traffic spikes. Pre-warming endpoints or using provisioned concurrency are not native SageMaker features. Step scaling reacts to deviations but still after the fact.
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.
- ✗
Enable provisioned concurrency on the endpoint
Why it's wrong here
Provisioned concurrency is a Lambda feature, not available for SageMaker endpoints.
- ✗
Pre-warm the endpoint by sending dummy requests
Why it's wrong here
Pre-warming is not a supported SageMaker feature; dummy requests would incur cost and may not trigger auto-scaling effectively.
- ✓
Use a scheduled scaling action to add capacity before the expected spike
Why this is correct
Scheduled scaling can increase the desired capacity in advance of known traffic patterns, reducing latency during the spike.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Switch to a step scaling policy with a higher cooldown period
Why it's wrong here
Step scaling still reacts to metric changes; it may not be fast enough for sudden spikes and a higher cooldown could delay further scaling.
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 MLA-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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ML Solution Monitoring, Maintenance, and Security — study guide chapter
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
ML Solution Monitoring, Maintenance, and Security — This question tests ML Solution Monitoring, Maintenance, and Security — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use a scheduled scaling action to add capacity before the expected spike — Scheduled scaling with Application Auto Scaling can anticipate traffic spikes. Pre-warming endpoints or using provisioned concurrency are not native SageMaker features. Step scaling reacts to deviations but still after the fact.
What should I do if I get this MLA-C01 question wrong?
Identify which MLA-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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jul 4, 2026
This MLA-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 MLA-C01 exam.
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