- A
S3 Object Lock
Why wrong: Object Lock enforces retention and does not speed uploads.
- B
S3 multipart upload
Multipart upload parallelizes large object upload parts and improves reliability.
- C
S3 Inventory
Why wrong: Inventory reports object metadata and does not accelerate transfers.
- D
S3 Transfer Acceleration
Transfer Acceleration uses optimized edge paths into AWS for long-distance S3 transfers.
Question 690 of 1,040
SAA-C03 Design High-Performing Architectures Practice Question
This SAA-C03 practice question tests your understanding of design high-performing architectures. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. A key principle to apply: s3 multipart upload breaks large objects into smaller parts for concurrent upload.. 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 latency-sensitive mobile game backend uploads large files to S3 from users around the world. Which two features can improve upload performance? The architecture review board prefers a managed AWS-native control.
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
✓
S3 multipart upload
B is correct because S3 multipart upload allows a large file to be broken into smaller parts and uploaded in parallel, which significantly reduces the impact of network latency and improves throughput. This is especially beneficial for latency-sensitive applications where upload speed is critical.
Key principle: S3 multipart upload breaks large objects into smaller parts for concurrent upload.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
S3 Object Lock
Why it's wrong here
Object Lock enforces retention and does not speed uploads.
- ✓
S3 multipart upload
Why this is correct
Multipart upload parallelizes large object upload parts and improves reliability.
Related concept
S3 multipart upload breaks large objects into smaller parts for concurrent upload.
- ✗
S3 Inventory
Why it's wrong here
Inventory reports object metadata and does not accelerate transfers.
- ✓
S3 Transfer Acceleration
Why this is correct
Transfer Acceleration uses optimized edge paths into AWS for long-distance S3 transfers.
Related concept
S3 multipart upload breaks large objects into smaller parts for concurrent upload.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates might confuse S3 Transfer Acceleration (which uses AWS edge locations and optimized network paths) with multipart upload, but both are valid; however, the question asks for two features, and both B and D are correct, while A and C are irrelevant to performance.
Detailed technical explanation
How to think about this question
S3 multipart upload works by splitting a file into parts (minimum 5 MB each, except the last part) and uploading them concurrently over multiple TCP connections. This leverages parallelism to overcome the limitations of a single TCP connection, such as slow start and packet loss, which is particularly effective over high-latency networks. The parts can be uploaded in any order and are assembled once all parts are received, with the option to retry failed parts independently.
KKey Concepts to Remember
- S3 multipart upload breaks large objects into smaller parts for concurrent upload.
- It significantly improves upload speed and reliability for large files.
- Individual parts can be uploaded in parallel, reducing total transfer time.
- Failed parts can be retransmitted independently without restarting the entire upload.
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
S3 multipart upload breaks large objects into smaller parts for concurrent upload.
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.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
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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 — S3 multipart upload breaks large objects into smaller parts for concurrent upload..
What is the correct answer to this question?
The correct answer is: S3 multipart upload — B is correct because S3 multipart upload allows a large file to be broken into smaller parts and uploaded in parallel, which significantly reduces the impact of network latency and improves throughput. This is especially beneficial for latency-sensitive applications where upload speed is critical.
What should I do if I get this SAA-C03 question wrong?
Review s3 multipart upload breaks large objects into smaller parts for concurrent upload., then practise related SAA-C03 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
S3 multipart upload breaks large objects into smaller parts for concurrent upload.
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Last reviewed: Jun 11, 2026
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