- A
Increase the function timeout so the first invocation has more time to finish.
Why wrong: A longer timeout can prevent premature failures, but it does nothing to remove cold-start latency. The user still waits for the execution environment to initialize before work begins. The problem here is startup delay, not insufficient execution time, so timeout tuning is not the right fix.
- B
Enable provisioned concurrency for the Lambda function.
Provisioned concurrency keeps a set number of Lambda execution environments initialized and ready to serve traffic. That directly reduces or removes cold starts for predictable workloads such as business-hours APIs. It is the most appropriate choice when the team wants to preserve serverless architecture while delivering consistent response times for the first request and subsequent requests.
- C
Set reserved concurrency to a fixed number and leave the rest unchanged.
Why wrong: Reserved concurrency limits how much a function can scale and protects downstream systems, but it does not pre-initialize execution environments. A function can still cold start even when reserved concurrency is set. That means the latency issue remains, even though the total number of concurrent executions is controlled.
- D
Increase the memory size only to eliminate cold starts.
Why wrong: More memory can improve CPU allocation and execution speed, but it does not guarantee that cold starts disappear. Some workloads do benefit from memory tuning, yet the specific problem here is the delay when new environments are created. Provisioned concurrency addresses that directly, while memory tuning mainly affects execution performance after the runtime is already warm.
Quick Answer
The answer is to enable provisioned concurrency for the Lambda function. Provisioned concurrency works by initializing a specified number of execution environments ahead of time, so when the first request hits after scaling from zero, it is served by a pre-warmed instance rather than incurring a cold start. This directly eliminates the unacceptable latency without altering the architecture or requiring code changes. On the SAA-C03 exam, this scenario tests your understanding of how to reduce Lambda cold start impact in predictable traffic patterns—a common trap is choosing reserved concurrency, which only caps scaling but does not pre-warm instances. Remember the key distinction: reserved concurrency guarantees capacity but does not prevent cold starts, while provisioned concurrency actively keeps environments warm. For a memory tip, think “provisioned = pre-warmed, reserved = reserved but still cold.”
SAA-C03 Design Secure Architectures Practice Question
This SAA-C03 practice question tests your understanding of design secure 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 order-quote Lambda function is invoked directly by API Gateway. Traffic is predictable during the business day, and the first request after scaling from zero causes unacceptable latency. The team wants to keep the current architecture and reduce cold-start impact. Which configuration should they use?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"first"Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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
Enable provisioned concurrency for the Lambda function.
Provisioned concurrency initializes a specified number of execution environments in advance, so when the first request arrives after scaling from zero, it is served by a pre-warmed instance instead of incurring a cold start. This directly addresses the unacceptable latency without changing the architecture or requiring code modifications.
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.
- ✗
Increase the function timeout so the first invocation has more time to finish.
Why it's wrong here
A longer timeout can prevent premature failures, but it does nothing to remove cold-start latency. The user still waits for the execution environment to initialize before work begins. The problem here is startup delay, not insufficient execution time, so timeout tuning is not the right fix.
- ✓
Enable provisioned concurrency for the Lambda function.
Why this is correct
Provisioned concurrency keeps a set number of Lambda execution environments initialized and ready to serve traffic. That directly reduces or removes cold starts for predictable workloads such as business-hours APIs. It is the most appropriate choice when the team wants to preserve serverless architecture while delivering consistent response times for the first request and subsequent requests.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set reserved concurrency to a fixed number and leave the rest unchanged.
Why it's wrong here
Reserved concurrency limits how much a function can scale and protects downstream systems, but it does not pre-initialize execution environments. A function can still cold start even when reserved concurrency is set. That means the latency issue remains, even though the total number of concurrent executions is controlled.
- ✗
Increase the memory size only to eliminate cold starts.
Why it's wrong here
More memory can improve CPU allocation and execution speed, but it does not guarantee that cold starts disappear. Some workloads do benefit from memory tuning, yet the specific problem here is the delay when new environments are created. Provisioned concurrency addresses that directly, while memory tuning mainly affects execution performance after the runtime is already warm.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse reserved concurrency (which caps concurrent executions) with provisioned concurrency (which pre-warms instances), or mistakenly believe that increasing memory or timeout can eliminate the cold-start initialization delay.
Detailed technical explanation
How to think about this question
Provisioned concurrency works by keeping a specified number of Lambda execution environments initialized and ready to respond immediately, effectively eliminating cold starts for those instances. Under the hood, AWS manages this by pre-initializing the runtime and executing the function's initialization code (outside the handler) before any request arrives. In a real-world scenario, a team handling a predictable daytime traffic pattern can set provisioned concurrency to match the baseline load, ensuring consistent sub-100ms response times even after periods of zero invocations.
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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
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FAQ
Questions learners often ask
What does this SAA-C03 question test?
Design Secure Architectures — This question tests Design Secure Architectures — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable provisioned concurrency for the Lambda function. — Provisioned concurrency initializes a specified number of execution environments in advance, so when the first request arrives after scaling from zero, it is served by a pre-warmed instance instead of incurring a cold start. This directly addresses the unacceptable latency without changing the architecture or requiring code modifications.
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.
Are there clue words in this question I should notice?
Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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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