- A
Publish a version of the function and configure provisioned concurrency on an alias, using autoscaling for the alias.
Provisioned concurrency pre-initializes execution environments for a specific published function version. By attaching provisioned concurrency to an alias, you can control warm capacity and (with the right settings) autoscale the provisioned capacity for predictable spike patterns, reducing cold-start-driven latency increases.
- B
Increase the function memory size and rely on faster initialization to reduce cold starts.
Why wrong: More memory can improve CPU performance and may reduce initialization time in some cases, but it does not guarantee that execution environments are already warm when traffic spikes. Cold starts can still occur.
- C
Set reserved concurrency equal to the expected peak requests per second for the function.
Why wrong: Reserved concurrency primarily limits or guarantees concurrency. It helps control throttling and allocation, but it does not pre-warm environments. Therefore it does not directly prevent cold-start latency spikes.
- D
Use an event source mapping with a higher batch size so Lambda triggers earlier and keeps the runtime warm.
Why wrong: Event source mappings apply to event sources such as SQS, Kinesis, or DynamoDB streams. For an ALB-triggered Lambda (synchronous request/response), batch size is not a mechanism to guarantee warm environments or to mitigate cold starts.
Quick Answer
The answer is to publish a version of the function and configure provisioned concurrency on an alias, using autoscaling for that alias. This is correct because provisioned concurrency pre-initializes a set number of Lambda execution environments, keeping them warm and eliminating the cold start latency that causes p95 response spikes during traffic surges. By applying this to an alias and enabling autoscaling, the team dynamically adjusts the number of pre-warmed environments to match predictable hourly spikes without permanently overprovisioning resources. On the SAA-C03 exam, this scenario tests your understanding of Lambda performance optimization and the distinction between provisioned concurrency (for predictable traffic) and reserved concurrency (for capacity limits). A common trap is confusing provisioned concurrency with reserved concurrency—remember that reserved concurrency caps resources but does not pre-warm them. Memory tip: “Provisioned = Pre-warmed; Reserved = Resource cap.”
SAA-C03 Design High-Performing Architectures Practice Question
This SAA-C03 practice question tests your understanding of design high-performing architectures. 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.
An API team runs an AWS Lambda function behind an Application Load Balancer (ALB). During predictable hourly traffic spikes, p95 response latency increases due to occasional cold starts. The team wants stable latency during those spikes without permanently overprovisioning resources for all functions. Which configuration is the most appropriate way to reduce cold starts for this Lambda function?
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
Publish a version of the function and configure provisioned concurrency on an alias, using autoscaling for the alias.
Provisioned concurrency initializes a specified number of execution environments in advance, keeping them warm and ready to handle requests without cold start latency. By configuring provisioned concurrency on an alias with autoscaling, the team can dynamically adjust the number of pre-warmed environments to match predictable traffic spikes, avoiding permanent overprovisioning while ensuring stable p95 latency.
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.
- ✓
Publish a version of the function and configure provisioned concurrency on an alias, using autoscaling for the alias.
Why this is correct
Provisioned concurrency pre-initializes execution environments for a specific published function version. By attaching provisioned concurrency to an alias, you can control warm capacity and (with the right settings) autoscale the provisioned capacity for predictable spike patterns, reducing cold-start-driven latency increases.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the function memory size and rely on faster initialization to reduce cold starts.
Why it's wrong here
More memory can improve CPU performance and may reduce initialization time in some cases, but it does not guarantee that execution environments are already warm when traffic spikes. Cold starts can still occur.
- ✗
Set reserved concurrency equal to the expected peak requests per second for the function.
Why it's wrong here
Reserved concurrency primarily limits or guarantees concurrency. It helps control throttling and allocation, but it does not pre-warm environments. Therefore it does not directly prevent cold-start latency spikes.
- ✗
Use an event source mapping with a higher batch size so Lambda triggers earlier and keeps the runtime warm.
Why it's wrong here
Event source mappings apply to event sources such as SQS, Kinesis, or DynamoDB streams. For an ALB-triggered Lambda (synchronous request/response), batch size is not a mechanism to guarantee warm environments or to mitigate cold starts.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing reserved concurrency (which limits concurrency but does not prevent cold starts) with provisioned concurrency (which pre-warms environments), leading candidates to select Option C as a cost-saving measure that fails to address latency.
Detailed technical explanation
How to think about this question
Provisioned concurrency works by keeping a specified number of execution environments initialized and ready to invoke immediately, bypassing the cold start phase entirely. When combined with Application Auto Scaling, the provisioned concurrency level can be scheduled or scaled based on utilization metrics (e.g., average concurrent executions), ensuring cost efficiency during off-peak hours. A common real-world scenario is a retail API handling flash sales, where predictable traffic spikes require pre-warmed functions without manual intervention.
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.
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
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
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FAQ
Questions learners often ask
What does this SAA-C03 question test?
Design High-Performing Architectures — This question tests Design High-Performing Architectures — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Publish a version of the function and configure provisioned concurrency on an alias, using autoscaling for the alias. — Provisioned concurrency initializes a specified number of execution environments in advance, keeping them warm and ready to handle requests without cold start latency. By configuring provisioned concurrency on an alias with autoscaling, the team can dynamically adjust the number of pre-warmed environments to match predictable traffic spikes, avoiding permanent overprovisioning while ensuring stable p95 latency.
What should I do if I get this SAA-C03 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
This SAA-C03 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 SAA-C03 exam.
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