Question 1,400 of 1,786
Data Ingestion and TransformationhardMultiple ChoiceObjective-mapped

On-Premises to S3 Data Migration Using AWS Snowball Edge

This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 company has a 100 TB dataset stored on-premises in a Hadoop cluster. They want to ingest this data into Amazon S3 for processing with AWS Glue. The company has a limited time window and a slow internet connection. Which strategy is MOST appropriate?

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 AWS Snowball Edge to physically ship the data to AWS.

AWS Snowball Edge is the most appropriate strategy because the dataset is 100 TB, the time window is limited, and the internet connection is slow. Snowball Edge provides a physical storage device that can be shipped to AWS, bypassing network bandwidth constraints entirely. This approach is designed for large-scale data transfers (typically over 10 TB) where network transfer would be impractical or exceed the available time window.

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.

  • Use AWS Snowball Edge to physically ship the data to AWS.

    Why this is correct

    Snowball Edge can handle 100 TB offline, bypassing network limitations.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Use AWS DataSync over the existing internet connection.

    Why it's wrong here

    DataSync over slow internet would take too long.

  • Use Amazon S3 Transfer Acceleration to speed up the upload.

    Why it's wrong here

    Transfer Acceleration still requires internet and may not handle 100 TB efficiently.

  • Use AWS Direct Connect to establish a high-bandwidth connection.

    Why it's wrong here

    Direct Connect may not be set up quickly and still requires network.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may overestimate the effectiveness of network acceleration techniques (like Transfer Acceleration or Direct Connect) for extremely large datasets, failing to recognize that physical shipping is the only viable option when bandwidth and time are severely constrained.

Detailed technical explanation

How to think about this question

AWS Snowball Edge devices use 256-bit encryption (AES-256) with hardware tamper resistance and are shipped via secure courier. The device supports up to 80 TB of usable storage per unit, so a 100 TB dataset would require two devices or a single Snowball Edge Storage Optimized device (up to 80 TB) plus additional transfer or compression. Under the hood, Snowball Edge uses a dedicated file interface that supports NFS and S3-compatible endpoints, allowing direct ingestion into S3 once the device is returned and processed at an AWS facility.

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 ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

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 DEA-C01 question test?

Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use AWS Snowball Edge to physically ship the data to AWS. — AWS Snowball Edge is the most appropriate strategy because the dataset is 100 TB, the time window is limited, and the internet connection is slow. Snowball Edge provides a physical storage device that can be shipped to AWS, bypassing network bandwidth constraints entirely. This approach is designed for large-scale data transfers (typically over 10 TB) where network transfer would be impractical or exceed the available time window.

What should I do if I get this DEA-C01 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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Same concept, more angles

1 more ways this is tested on DEA-C01

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 company needs to ingest data from an on-premises Hadoop cluster into Amazon S3 for archival and analysis. The total data volume is 50 TB. The migration must be completed within one week. The on-premises network has a 1 Gbps connection to AWS. Which AWS service should be used?

easy
  • A.AWS Transfer Family
  • B.AWS Snowball Edge
  • C.AWS Glue
  • D.AWS DataSync

Why B: AWS Snowball Edge is the correct choice because it is designed for large-scale data transfers (50 TB) over slow or unreliable networks. With a 1 Gbps connection, transferring 50 TB would take approximately 5 days under ideal conditions, but real-world factors (e.g., network congestion, protocol overhead) make it risky to complete within one week. Snowball Edge physically ships the data, bypassing network constraints entirely.

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Last reviewed: Jul 4, 2026

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This DEA-C01 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 DEA-C01 exam.