The answer is to use Azure Data Box to physically ship the data. This is the correct choice because for a 2 TB volume with limited network bandwidth, offline data transfer via a ruggedized, secure device completely bypasses network latency and bandwidth bottlenecks, making it dramatically faster than any online method. On the Microsoft Azure Data Fundamentals DP-900 exam, this scenario tests your understanding of when to choose offline versus online data transfer options; a common trap is selecting Azure Data Factory or AzCopy, which still rely on the constrained network. Remember the key threshold: for multiple terabytes of data with slow or unreliable connectivity, always think physical shipping. A simple memory tip is “Big data, bad pipe? Ship the box.”
DP-900 Describe an analytics workload on Azure Practice Question
This DP-900 practice question tests your understanding of describe an analytics workload on azure. 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 data engineer needs to load data from an on-premises SQL Server database to Azure Synapse Analytics. The data volume is approximately 2 TB and the network bandwidth is limited. Which approach minimizes data transfer time?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Azure Data Box to physically ship the data.
Azure Data Box is the correct approach because it physically ships the 2 TB of data on a secure storage device, bypassing the limited network bandwidth entirely. For large data volumes (multiple TB) with constrained connectivity, offline data transfer is significantly faster than any online method, as it avoids network latency and bandwidth bottlenecks.
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 SQL Server Integration Services (SSIS) to transfer data over the internet.
Why it's wrong here
Limited bandwidth makes this slow.
✓
Use Azure Data Box to physically ship the data.
Why this is correct
Data Box bypasses network constraints for large datasets.
Related concept
Read the scenario before looking for a memorised answer.
✗
Establish a site-to-site VPN and use Azure Data Factory.
Use Azure Data Factory with a self-hosted integration runtime over the internet.
Why it's wrong here
Still subject to network bandwidth.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume online transfer tools like Azure Data Factory or SSIS are always optimal, but for large data volumes with limited bandwidth, offline shipping via Azure Data Box is the only practical solution to minimize transfer time.
Detailed technical explanation
How to think about this question
Azure Data Box uses the Azure Data Box Disk or Data Box Heavy device, which supports up to 80 TB of raw capacity and uses AES-256-bit encryption for data at rest. The device is shipped via a carrier, and after data is copied locally, it is returned to Azure for ingestion into Azure Synapse Analytics via the Azure portal. This offline transfer method is ideal for scenarios where network bandwidth is below 100 Mbps or data volumes exceed 1 TB, as it eliminates the need for sustained high-throughput network connectivity.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Azure Data Box to physically ship the data. — Azure Data Box is the correct approach because it physically ships the 2 TB of data on a secure storage device, bypassing the limited network bandwidth entirely. For large data volumes (multiple TB) with constrained connectivity, offline data transfer is significantly faster than any online method, as it avoids network latency and bandwidth bottlenecks.
What should I do if I get this DP-900 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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Question Discussion
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