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Question 164 of 1,040

Design Cost-Optimized Architectures →mediumMultiple SelectObjective-mapped

Quick Answer

The answer is three design decisions: optimizing Lambda code for shorter execution, storing output in S3 Standard-IA, and using S3 Batch Operations to invoke functions in parallel. This combination minimizes costs because AWS Lambda pricing is based on GB-seconds and request count—shorter code execution directly reduces billable compute time, while S3 Standard-IA offers lower storage costs for infrequently accessed processed data. S3 Batch Operations further cut costs by distributing the workload across parallel invocations, reducing total processing duration. On the SAA-C03 exam, this tests your understanding of serverless cost optimization beyond just choosing cheaper services; a common trap is selecting provisioned concurrency or larger memory, which increase costs. Remember the memory tip: “Code lean, store cold, batch bold”—efficient code, cold storage tier, and parallel batch processing are your three pillars for lambda cost optimization in serverless architectures.

SAA-C03 Design Cost-Optimized Architectures Practice Question

This SAA-C03 practice question tests your understanding of design cost-optimized architectures. 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 is designing a cost-optimized serverless architecture using AWS Lambda for a data processing workload. The workload runs multiple times per day and processes files up to 500 MB. Which three design decisions will help minimize costs? (Choose three.)

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

Question 1mediummulti select

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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

✓

Optimize the Lambda function code to reduce execution duration, as cost is based on compute time.

Optimizing the Lambda function code to reduce execution duration directly lowers costs because AWS Lambda pricing is based on the number of requests and the duration of code execution, measured in GB-seconds. By writing efficient code, you reduce the compute time, which minimizes the billable GB-seconds. Storing processed output in S3 Standard-IA is cost-effective for infrequently accessed data, as it offers lower storage costs than S3 Standard while still providing high durability and availability. Using S3 batch operations to invoke Lambda functions in parallel reduces the overall processing time by distributing the workload across multiple concurrent invocations, which can lower the total compute duration and thus the cost.

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

Common exam traps

Common exam trap: answer the scenario, not the keyword

AWS often tests the misconception that more memory always reduces cost because it speeds up execution, but the trap is that cost is a product of memory and duration, so the optimal memory must be empirically determined, not set to the maximum.

Detailed technical explanation

How to think about this question

Lambda's cost model charges per GB-second, meaning that doubling memory (and thus CPU allocation) can halve execution time, but the cost per invocation remains roughly the same if the product of memory and time is constant; however, many workloads see diminishing returns beyond a certain memory threshold. S3 Standard-IA has a minimum storage duration charge of 30 days and a retrieval fee, so it is only cost-effective when objects are accessed less than once per month and stored for longer than 30 days. S3 batch operations can invoke Lambda functions asynchronously, and the concurrency is limited by the account's Lambda concurrency quota, which must be managed to avoid throttling.

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 Cost-Optimized Architectures — This question tests Design Cost-Optimized Architectures — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Optimize the Lambda function code to reduce execution duration, as cost is based on compute time. — Optimizing the Lambda function code to reduce execution duration directly lowers costs because AWS Lambda pricing is based on the number of requests and the duration of code execution, measured in GB-seconds. By writing efficient code, you reduce the compute time, which minimizes the billable GB-seconds. Storing processed output in S3 Standard-IA is cost-effective for infrequently accessed data, as it offers lower storage costs than S3 Standard while still providing high durability and availability. Using S3 batch operations to invoke Lambda functions in parallel reduces the overall processing time by distributing the workload across multiple concurrent invocations, which can lower the total compute duration and thus the cost.

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: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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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.