Question 482 of 1,040
Design Cost-Optimized ArchitectureseasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is an S3 lifecycle policy that transitions objects to a lower-cost storage class after a set number of days. This is correct because lifecycle policies automate S3 cost reduction over time by applying rules based on object age, moving infrequently accessed logs from S3 Standard to cheaper tiers like S3 Standard-IA or S3 Glacier Instant Retrieval without any manual intervention. On the SAA-C03 exam, this scenario tests your understanding of storage class transitions versus deletion policies—a common trap is confusing lifecycle expiration (which deletes objects) with transition actions (which move them). Remember that for cost savings on rarely accessed data, you want a transition, not a deletion. A useful memory tip: think of the lifecycle as a “moving staircase” that automatically steps your data down to colder, cheaper storage as it ages.

SAA-C03 Design Cost-Optimized Architectures Practice Question

This SAA-C03 practice question tests your understanding of design cost-optimized architectures. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 team stores application logs in Amazon S3. They need access to the logs only occasionally for troubleshooting (infrequent access), and they want to reduce storage cost automatically over time without manually moving objects. What should they implement?

Question 1easymultiple choice
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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

An S3 lifecycle policy that transitions objects to a lower-cost storage class after a set number of days

Option A is correct because an S3 lifecycle policy can automatically transition objects from S3 Standard to lower-cost storage classes (e.g., S3 Standard-IA, S3 One Zone-IA, or S3 Glacier Instant Retrieval) after a specified number of days. This meets the requirement of reducing storage costs over time for infrequently accessed logs without manual intervention, as the policy automates the movement based on object age.

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.

  • An S3 lifecycle policy that transitions objects to a lower-cost storage class after a set number of days

    Why this is correct

    S3 lifecycle policies can automatically transition objects based on age to storage classes priced for infrequent access (for example, Standard-IA or Glacier-based classes). This preserves the data for later troubleshooting while lowering storage cost as objects become older.

    Related concept

    Read the scenario before looking for a memorised answer.

  • An S3 lifecycle policy that deletes objects after 1 day to eliminate storage costs

    Why it's wrong here

    Deleting after 1 day would remove data before it can be used for occasional troubleshooting. Storage cost optimization must still respect retention and troubleshooting requirements; lifecycle rules should transition to cheaper classes rather than delete immediately unless deletion is explicitly acceptable.

  • An S3 lifecycle policy that keeps all objects in S3 Standard and only applies compression at read time

    Why it's wrong here

    Staying in S3 Standard does not address the cost driver (storage class pricing based on access frequency). “Compression at read time” is not an S3 lifecycle storage class optimization mechanism and would not directly lower S3 storage class charges as requested.

  • A policy that changes bucket encryption from SSE-S3 to SSE-KMS to reduce storage cost

    Why it's wrong here

    Changing encryption type affects security and KMS key usage, not the fundamental S3 storage class pricing model. It is not a reliable method to reduce storage costs for infrequent access workloads.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may confuse lifecycle policies with deletion policies, thinking that deleting objects after a short period (Option B) is a valid cost-saving strategy, but the question explicitly requires retaining logs for occasional troubleshooting, so deletion is not appropriate.

Detailed technical explanation

How to think about this question

S3 lifecycle policies support transitions to multiple storage classes (e.g., S3 Standard-IA after 30 days, S3 Glacier Instant Retrieval after 90 days) based on object age, with a minimum 30-day transition rule for Standard to Standard-IA. Under the hood, S3 uses object metadata to track creation date and applies the policy asynchronously, typically within 24 hours. A real-world scenario is a compliance requirement to retain logs for 1 year but only access them monthly, where a lifecycle policy can transition to S3 Glacier Deep Archive after 180 days to minimize cost while preserving data.

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: An S3 lifecycle policy that transitions objects to a lower-cost storage class after a set number of days — Option A is correct because an S3 lifecycle policy can automatically transition objects from S3 Standard to lower-cost storage classes (e.g., S3 Standard-IA, S3 One Zone-IA, or S3 Glacier Instant Retrieval) after a specified number of days. This meets the requirement of reducing storage costs over time for infrequently accessed logs without manual intervention, as the policy automates the movement based on object age.

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

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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.