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DP-203 Develop data processing Practice Question

You are designing a data processing pipeline in Azure Data Factory that ingests data from an on-premises SQL Server database to Azure Data Lake Storage Gen2. The data volume is large (500 GB). The network connection between on-premises and Azure is limited to 100 Mbps. You need to minimize the time to transfer the initial full load while ensuring data integrity. Which approach should you recommend?

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 Azure Data Box to copy the data offline

Azure Data Box physically ships the data, bypassing network bandwidth limitations for large initial loads. Option A is wrong because it would take over 11 hours even at full bandwidth, and network may not be stable. Option B is wrong because it compresses but still uses network. Option C is wrong because VPN adds overhead.

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 Azure Data Factory copy activity with parallel connections

    Why it's wrong here

    Parallel connections increase throughput but still limited by 100 Mbps.

  • Use Azure ExpressRoute to increase bandwidth

    Why it's wrong here

    ExpressRoute increases bandwidth but takes time to provision.

  • Compress the data using GZip and use copy activity

    Why it's wrong here

    Compression helps but still network-bound.

  • Use Azure Data Box to copy the data offline

    Why this is correct

    Data Box transfers data physically, bypassing network limitations.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This DP-203 practice question is part of Courseiva's free Microsoft 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 DP-203 exam.