- A
Generate a presigned URL and use a third-party tool to upload.
Why wrong: Presigned URL does not handle large uploads efficiently.
- B
Invoke an AWS Lambda function to upload the file.
Why wrong: Lambda has a 6 MB payload limit and is not suitable for large uploads.
- C
Use the Multipart Upload API to upload the file in parts.
Multipart Upload is designed for large objects.
- D
Use the PutObject API call with the entire file.
Why wrong: PutObject has a 5 GB limit and is not efficient for large files.
Question 647 of 1,616
S3 Multipart Upload for Large Objects
This DVA-C02 practice question tests your understanding of development with aws services. 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 developer wants to upload a large file (5 GB) to an Amazon S3 bucket using the AWS SDK. Which approach is MOST efficient and resilient?
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 the Multipart Upload API to upload the file in parts.
Option C is correct because the Multipart Upload API is specifically designed for large objects (over 100 MB, recommended for 5 GB). It allows uploading a file in parallel parts, which improves throughput and resilience by enabling retries of individual failed parts without restarting the entire upload. This approach also supports pausing and resuming uploads, making it the most efficient and resilient method for a 5 GB file.
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.
- ✗
Generate a presigned URL and use a third-party tool to upload.
Why it's wrong here
Presigned URL does not handle large uploads efficiently.
- ✗
Invoke an AWS Lambda function to upload the file.
Why it's wrong here
Lambda has a 6 MB payload limit and is not suitable for large uploads.
- ✓
Use the Multipart Upload API to upload the file in parts.
Why this is correct
Multipart Upload is designed for large objects.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use the PutObject API call with the entire file.
Why it's wrong here
PutObject has a 5 GB limit and is not efficient for large files.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume the PutObject API (Option D) is sufficient for large files because it supports up to 5 GB, but they overlook the lack of parallel uploads and partial failure recovery, which the Multipart Upload API provides and is explicitly recommended by AWS for files over 100 MB.
Detailed technical explanation
How to think about this question
The Multipart Upload API works by splitting the file into parts (each up to 5 GB, with a minimum part size of 5 MB except for the last part) and uploading them concurrently using HTTP PUT requests. Each part is identified by an ETag, and the upload is completed by sending a complete multipart upload request that assembles the parts in order. A subtle behavior is that if you use the AWS SDK, it automatically manages part retries and can use the UploadPartCopy operation for server-side copying, which is critical for large-scale data migration or video processing workflows where network interruptions are common.
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.
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
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DVA-C02 question test?
Development with AWS Services — This question tests Development with AWS Services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use the Multipart Upload API to upload the file in parts. — Option C is correct because the Multipart Upload API is specifically designed for large objects (over 100 MB, recommended for 5 GB). It allows uploading a file in parallel parts, which improves throughput and resilience by enabling retries of individual failed parts without restarting the entire upload. This approach also supports pausing and resuming uploads, making it the most efficient and resilient method for a 5 GB file.
What should I do if I get this DVA-C02 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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on DVA-C02
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. A developer is writing code to upload an object to an Amazon S3 bucket. The object is 200 MB in size. Which AWS SDK method should the developer use to perform this upload?
easy- A.Enable S3 Transfer Acceleration and use the PutObject API.
- B.Use the PutObject API operation.
- ✓ C.Use the multipart upload API.
- D.Use a pre-signed URL and upload using HTTP PUT.
Why C: Objects larger than 100 MB should be uploaded using the multipart upload API to improve throughput and provide resilience against network failures. The multipart upload API allows the 200 MB object to be split into parts, uploaded in parallel, and then assembled, which is more efficient and reliable than a single PutObject operation for objects over 5 GB or for large objects in general.
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Last reviewed: Jul 4, 2026
This DVA-C02 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 DVA-C02 exam.
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