- A
Set up a scheduled scaling policy to pre-warm instances before known traffic bursts.
Why wrong: Scheduled scaling can help with known traffic patterns, but it does not reduce the time it takes for new instances to become healthy; it only pre-emptively adds capacity.
- B
Decrease the cooldown period for the scaling policy to add instances faster.
Why wrong: Decreasing the cooldown period may cause auto-scaling to add or remove instances too frequently, leading to thrashing, and it does not address the startup time of new instances.
- C
Use a larger instance type so that fewer instances are needed, and the scaling threshold is triggered less often.
Using a larger instance type means each instance can handle more requests, so the scaling threshold is triggered less often, reducing the frequency of cold starts and associated 503 errors.
- D
Increase the maximum number of instances to allow more capacity.
Why wrong: Increasing the maximum number of instances allows more capacity but does not reduce the startup time of each individual instance; it may even lead to more frequent scaling events.
MLA-C01 Instance startup latency Practice Question
This MLA-C01 practice question tests your understanding of ml solution monitoring, maintenance and security. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. A key principle to apply: instance startup latency. 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 an Amazon SageMaker endpoint with auto-scaling. They notice that during traffic bursts, new instances take several minutes to become healthy, causing 503 errors. What is the BEST way to reduce the time to serve requests during scaling events?
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 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 larger instance type so that fewer instances are needed, and the scaling threshold is triggered less often.
Option C is correct because using larger instance types reduces the number of scaling events and the number of new instances that must be started during traffic bursts. With larger instances, each instance can handle more requests, so the overall capacity can be met with fewer instances, reducing the time required for new instances to become healthy. Option A is incorrect because scheduled scaling can help but does not address the fundamental startup time of each instance. Option B is incorrect because decreasing the cooldown period can lead to scaling thrashing and does not make instances start faster. Option D is incorrect because increasing the maximum number of instances does not reduce the time for each individual instance to become healthy.
Key principle: Instance startup latency
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set up a scheduled scaling policy to pre-warm instances before known traffic bursts.
Why it's wrong here
Scheduled scaling can help with known traffic patterns, but it does not reduce the time it takes for new instances to become healthy; it only pre-emptively adds capacity.
- ✗
Decrease the cooldown period for the scaling policy to add instances faster.
Why it's wrong here
Decreasing the cooldown period may cause auto-scaling to add or remove instances too frequently, leading to thrashing, and it does not address the startup time of new instances.
- ✓
Use a larger instance type so that fewer instances are needed, and the scaling threshold is triggered less often.
Why this is correct
Using a larger instance type means each instance can handle more requests, so the scaling threshold is triggered less often, reducing the frequency of cold starts and associated 503 errors.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Instance startup latency
- ✗
Increase the maximum number of instances to allow more capacity.
Why it's wrong here
Increasing the maximum number of instances allows more capacity but does not reduce the startup time of each individual instance; it may even lead to more frequent scaling events.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates often think that increasing the maximum number of instances or decreasing the cooldown will speed up scaling, but the real issue is the startup time of new instances; reducing the number of scaling events by using larger instances is more effective.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Instance startup latency
- Auto-scaling cooldown
- Instance size selection
TExam Day Tips
- 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
Instance startup latency
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. Instance startup latency 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.
Review instance startup latency, then practise related MLA-C01 questions on the same topic to reinforce the concept.
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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 — Instance startup latency.
What is the correct answer to this question?
The correct answer is: Use a larger instance type so that fewer instances are needed, and the scaling threshold is triggered less often. — Option C is correct because using larger instance types reduces the number of scaling events and the number of new instances that must be started during traffic bursts. With larger instances, each instance can handle more requests, so the overall capacity can be met with fewer instances, reducing the time required for new instances to become healthy. Option A is incorrect because scheduled scaling can help but does not address the fundamental startup time of each instance. Option B is incorrect because decreasing the cooldown period can lead to scaling thrashing and does not make instances start faster. Option D is incorrect because increasing the maximum number of instances does not reduce the time for each individual instance to become healthy.
What should I do if I get this MLA-C01 question wrong?
Review instance startup latency, then practise related MLA-C01 questions on the same topic to reinforce the concept.
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?
Instance startup latency
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Last reviewed: Jun 23, 2026
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