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Question 873 of 1,040

Design High-Performing Architectures →easyMultiple ChoiceObjective-mapped

Quick Answer

The answer is to use Lambda provisioned concurrency for the version via an alias. Provisioned concurrency directly prevents cold starts by pre-initializing a specified number of execution environments, ensuring that when the published version is invoked through an alias, the function is already warm and ready to handle requests immediately after deployment. On the SAA-C03 exam, this scenario tests your understanding of how to mitigate cold start latency spikes, particularly after code updates or deployments. A common trap is to suggest increasing memory or using a larger timeout, but those do not eliminate the initialization delay; only provisioned concurrency keeps the environment pre-warmed. Remember, the key memory tip is “provisioned = pre-warmed,” so when you see a question about post-deployment latency spikes, think of assigning provisioned concurrency to the alias pointing to the new version.

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.

A backend API uses an AWS Lambda function behind API Gateway. The first requests after every weekly deployment experience cold starts, causing p95 latency spikes for a few minutes. Which configuration most directly prevents those cold starts for the published version?

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.

Question 1easymultiple choice

Full question →

A
Increase the Lambda memory size only, without changing how Lambda is invoked
Why wrong: Higher memory increases available CPU and can reduce execution time, which may help average latency. However, it does not guarantee that execution environments are already initialized after a deployment, so cold starts can still occur.
B
Use Lambda provisioned concurrency for the version via an alias
Provisioned concurrency keeps Lambda execution environments initialized and ready for a specific published version. By attaching it to an alias (for example, pointing the alias used by API Gateway to the new version), you pre-warm environments so the first requests after deployment are served without cold-start initialization.
C
Enable dead-letter queues (DLQ) to retry failed cold starts
Why wrong: Dead-letter queues are for events that fail after retries (for example, invocation errors). Cold starts are not invocation failures; they are increased latency due to environment initialization. DLQs do not pre-initialize environments.
D
Attach a CloudFront distribution to cache API Gateway responses for 5 minutes
Why wrong: Caching API responses can reduce origin/API Gateway traffic for repeat reads, but it does not change Lambda’s initialization behavior for requests that do reach Lambda. Cold starts would still occur for any cache misses or uncached requests.

Full breakdown with real-world context →

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 Lambda provisioned concurrency for the version via an alias

Provisioned concurrency initializes a specified number of Lambda execution environments ahead of time, so that when the published version is invoked via an alias, there are no cold starts. This directly addresses the latency spikes caused by cold starts after a deployment, as the function is kept warm and ready to handle requests immediately.

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 Lambda memory size only, without changing how Lambda is invoked
Why it's wrong here
Higher memory increases available CPU and can reduce execution time, which may help average latency. However, it does not guarantee that execution environments are already initialized after a deployment, so cold starts can still occur.
✓
Use Lambda provisioned concurrency for the version via an alias
Why this is correct
Provisioned concurrency keeps Lambda execution environments initialized and ready for a specific published version. By attaching it to an alias (for example, pointing the alias used by API Gateway to the new version), you pre-warm environments so the first requests after deployment are served without cold-start initialization.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable dead-letter queues (DLQ) to retry failed cold starts
Why it's wrong here
Dead-letter queues are for events that fail after retries (for example, invocation errors). Cold starts are not invocation failures; they are increased latency due to environment initialization. DLQs do not pre-initialize environments.
✗
Attach a CloudFront distribution to cache API Gateway responses for 5 minutes
Why it's wrong here
Caching API responses can reduce origin/API Gateway traffic for repeat reads, but it does not change Lambda’s initialization behavior for requests that do reach Lambda. Cold starts would still occur for any cache misses or uncached requests.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may confuse provisioned concurrency with reserved concurrency, which only limits the maximum number of concurrent executions but does not prevent cold starts.

Detailed technical explanation

How to think about this question

Provisioned concurrency works by pre-allocating a set number of execution environments in the Lambda service, which are kept warm and ready to handle invocations. When traffic exceeds the provisioned concurrency level, the function scales elastically using standard concurrency, but the provisioned portion ensures zero cold starts for the configured amount. This is particularly useful for latency-sensitive APIs where consistent sub-second response times are critical, such as after a deployment when the function version changes.

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 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. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. 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.

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 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: Use Lambda provisioned concurrency for the version via an alias — Provisioned concurrency initializes a specified number of Lambda execution environments ahead of time, so that when the published version is invoked via an alias, there are no cold starts. This directly addresses the latency spikes caused by cold starts after a deployment, as the function is kept warm and ready to handle requests immediately.

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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Same concept, more angles

1 more ways this is tested on SAA-C03

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. Based on the exhibit, what change best reduces Lambda cold-start impact for a predictable user-upload workflow?

easy

A.Set a reserved concurrency limit for the function to protect it from throttling.
✓ B.Enable provisioned concurrency for the function.
C.Increase the function timeout to give more time for initialization.
D.Move the function to a larger memory setting only to eliminate all initialization time.

Why B: Provisioned concurrency initializes a specified number of execution environments in advance, so when a user upload triggers the Lambda function, there is no cold-start delay. This directly addresses the predictable, user-upload workflow by ensuring warm containers are ready to handle requests immediately.

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Question Discussion

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