CLF-C02 Cloud Technology and Services Practice Question
Which AWS service provides a petabyte-scale data transfer solution for moving large amounts of data into AWS when network transfer is not feasible?
⚠ Common exam trap
It's easy for candidates to confuse AWS DataSync or S3 Multipart Upload as viable options for offline data transfer, but these services require network connectivity and are not designed for petabyte-scale data movement when the network is not feasible.
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
✓
AWS Snowball
AWS Snowball is a petabyte-scale data transport solution that uses physical storage devices to transfer large amounts of data into and out of AWS when network transfer is not feasible due to high latency, low bandwidth, or high costs. It is specifically designed for moving massive datasets (up to 80 TB per device) where network uploads would take weeks or months, making it the correct choice for this scenario.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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AWS DataSync
Why it's wrong here
AWS DataSync is an online data transfer service that uses a lightweight agent installed on your on-premises environment to automate the replication of data to Amazon S3, EFS, or FSx over the network. It supports scheduled, incremental, and validated transfers, but it is fundamentally a network-based tool—its throughput is constrained by your connection's bandwidth. For petabyte-scale offline transfer in disconnected or low-bandwidth environments, DataSync alone is inadequate; notably, AWS even recommends using DataSync with Snowball Edge for end-to-end acceleration, reinforcing that DataSync is not a replacement for physical shipment.
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AWS Transfer Family
Why it's wrong here
AWS Transfer Family is a fully managed network-based service that enables SFTP, FTPS, and FTP file transfers directly into and out of Amazon S3 or Amazon EFS. Because it relies on live network connectivity, transfer speed is bounded by your available bandwidth and latency, making it impractical for moving petabytes of data offline. It lacks any physical appliance or courier component, so it cannot bypass the bandwidth bottleneck that offline transfer devices like Snowball are designed to solve.
- ✓
AWS Snowball
Why this is correct
AWS Snowball is a rugged, physical storage appliance delivered by AWS that is specifically built for petabyte-scale offline data transfer. You load the device with data on-site, ship it back to AWS, and AWS imports the data into your S3 bucket over AWS's internal high-speed network. Snowball Edge devices also include onboard compute, allowing you to pre-process data during the transfer, making it the correct choice for scenarios where moving large datasets over the internet is too slow, costly, or unstable.
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Amazon S3 Multipart Upload
Why it's wrong here
Amazon S3 Multipart Upload is an API feature that lets you upload a single object as a set of parts over HTTP/HTTPS, with the ability to parallelize uploads and resume failed parts. While it is strongly recommended for large objects because it improves throughput and resiliency, it still requires an active network connection and ultimately moves all data across the internet. For a petabyte-scale dataset, the time required to transmit that volume over any practical internet link would be prohibitive, so multipart upload cannot replace the offline, physical transport that Snowball provides.
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 |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CLF-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 CLF-C02 exam.