- A
Reboot the DB instance and rely on the corrupted data being overwritten by storage-level changes.
Why wrong: Rebooting the DB instance does not undo logical data changes (for example, corrupted rows caused by an application release). It preserves the current database contents; it does not restore a previous state.
- B
Perform a point-in-time restore to a new DB instance using a timestamp before the corruption (for example, a time within 10:00–10:30 UTC).
With automated backups enabled, RDS supports point-in-time recovery (PITR) within the retention window. Restoring to a timestamp before the corruption creates a consistent copy from that moment. The team can validate the restored DB and then cut over application traffic, reducing risk to the currently running workload.
- C
Restore only the most recent automated backup snapshot, even if it is after the corruption timestamp.
Why wrong: A “most recent snapshot” may have been taken after the corruption occurred. If the snapshot includes the corrupted rows, restoring it would not meet the requirement to revert to the 10:00–10:30 UTC state.
- D
Create a read replica of the current DB instance and overwrite the corrupted table using SELECT queries from the replica.
Why wrong: A read replica continuously replicates from the source and will receive the corruption as well. It cannot recreate the pre-corruption data state needed for a time-based rollback.
SAA-C03 Design Resilient Architectures Practice Question
This SAA-C03 practice question tests your understanding of design resilient 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 company uses Amazon RDS with automated backups enabled (retention period: 7 days). At 10:30 UTC, a bad release corrupts specific rows in a production table. The team detects the issue at 11:10 UTC. They need to revert the database state to what it was from 10:00–10:30 UTC, recover quickly, and minimize risk to the currently running workload. What is the best option?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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.
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
Perform a point-in-time restore to a new DB instance using a timestamp before the corruption (for example, a time within 10:00–10:30 UTC).
Amazon RDS automated backups enable point-in-time recovery (PITR) to any second within the retention window. By restoring to a timestamp between 10:00 and 10:30 UTC, you recover the database to a state before the corruption occurred, without affecting the current production instance. This minimizes risk to the running workload because the restore creates a new DB instance, leaving the original untouched until you are ready to switch.
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.
- ✗
Reboot the DB instance and rely on the corrupted data being overwritten by storage-level changes.
Why it's wrong here
Rebooting the DB instance does not undo logical data changes (for example, corrupted rows caused by an application release). It preserves the current database contents; it does not restore a previous state.
- ✓
Perform a point-in-time restore to a new DB instance using a timestamp before the corruption (for example, a time within 10:00–10:30 UTC).
Why this is correct
With automated backups enabled, RDS supports point-in-time recovery (PITR) within the retention window. Restoring to a timestamp before the corruption creates a consistent copy from that moment. The team can validate the restored DB and then cut over application traffic, reducing risk to the currently running workload.
Clue confirmation
The clue words "best", "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Restore only the most recent automated backup snapshot, even if it is after the corruption timestamp.
Why it's wrong here
A “most recent snapshot” may have been taken after the corruption occurred. If the snapshot includes the corrupted rows, restoring it would not meet the requirement to revert to the 10:00–10:30 UTC state.
- ✗
Create a read replica of the current DB instance and overwrite the corrupted table using SELECT queries from the replica.
Why it's wrong here
A read replica continuously replicates from the source and will receive the corruption as well. It cannot recreate the pre-corruption data state needed for a time-based rollback.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse automated backup snapshots (which are full backups taken once per day) with point-in-time recovery (which uses transaction logs to restore to any point within the retention window), leading them to choose Option C instead of B.
Detailed technical explanation
How to think about this question
RDS point-in-time recovery works by applying transaction logs (binary logs for MySQL/MariaDB, WAL segments for PostgreSQL) to the most recent automated backup snapshot, allowing restoration to any second within the retention period. The retention period of 7 days means the transaction logs are retained for that duration, enabling PITR even if the corruption occurred hours ago. In practice, you would specify a timestamp like '2025-03-25 10:15:00 UTC' to restore to a moment before the bad release took effect.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this SAA-C03 question test?
Design Resilient Architectures — This question tests Design Resilient Architectures — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Perform a point-in-time restore to a new DB instance using a timestamp before the corruption (for example, a time within 10:00–10:30 UTC). — Amazon RDS automated backups enable point-in-time recovery (PITR) to any second within the retention window. By restoring to a timestamp between 10:00 and 10:30 UTC, you recover the database to a state before the corruption occurred, without affecting the current production instance. This minimizes risk to the running workload because the restore creates a new DB instance, leaving the original untouched until you are ready to switch.
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: "best", "minimum / minimize". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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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