The correct answer is to enable staging with Azure Blob Storage and PolyBase. This configuration achieves WAN optimization for Azure Data Factory copy activity by first transferring data from on-premises SQL Server to Azure Blob Storage over the WAN, then using PolyBase’s parallel, high-throughput bulk loading engine to move the data into Azure Data Lake Storage Gen2 within the Azure backbone, bypassing typical WAN congestion and reducing on-premises network load. On the DP-900 exam, this scenario tests your understanding of how Azure Data Factory handles large-scale hybrid data movement, often appearing as a trick question where candidates mistakenly choose a direct copy option. A common trap is forgetting that PolyBase is not a standalone feature but works in tandem with staging to optimize throughput. Memory tip: think “Stage then PolyBase” — the staging blob acts as a local relay, and PolyBase provides the speed boost within Azure.
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 company uses Azure Data Factory to copy data from an on-premises SQL Server to Azure Data Lake Storage Gen2. The transfer must be accelerated using WAN optimization. Which Data Factory feature should the company enable?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use staging with Azure Blob Storage and PolyBase.
Option D is correct because staging with Azure Blob Storage and PolyBase enables WAN optimization by using Azure Blob as an intermediate staging area, allowing Data Factory to leverage PolyBase's high-throughput bulk loading into Azure Data Lake Storage Gen2. This approach reduces the load on the on-premises network by transferring data first to Blob Storage over the WAN, then using PolyBase's parallel, optimized transfer within Azure, which is designed for large-scale data movement and can bypass typical WAN 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 the Copy Activity with automatic partitioning.
Why it's wrong here
Partitioning helps parallelism but not WAN optimization.
✗
Deploy a self-hosted integration runtime on-premises.
Why it's wrong here
Self-hosted IR is required but does not provide WAN optimization.
✗
Enable parallel copy within the Copy Activity.
Why it's wrong here
Parallel copy improves throughput but does not inherently optimize WAN traffic.
✓
Use staging with Azure Blob Storage and PolyBase.
Why this is correct
Staging allows data to be transferred efficiently using PolyBase or COPY statement, which can optimize transfer over WAN.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse general performance features like parallel copy (Option C) or connectivity solutions like self-hosted IR (Option B) with the specific WAN optimization technique of staging with PolyBase, which is designed to offload heavy data movement to Azure's internal network.
Detailed technical explanation
How to think about this question
PolyBase uses a massively parallel processing (MPP) architecture to push compute to the data, enabling high-speed data loading into Azure Data Lake Storage Gen2 by leveraging external tables and T-SQL commands. When staging with Azure Blob Storage, Data Factory first copies data to Blob Storage using the self-hosted IR, then PolyBase reads from Blob Storage in parallel, bypassing the on-premises network for the final load. This approach is particularly effective for large datasets (e.g., terabytes) where WAN latency and bandwidth constraints would otherwise cause slow transfers.
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 staging with Azure Blob Storage and PolyBase. — Option D is correct because staging with Azure Blob Storage and PolyBase enables WAN optimization by using Azure Blob as an intermediate staging area, allowing Data Factory to leverage PolyBase's high-throughput bulk loading into Azure Data Lake Storage Gen2. This approach reduces the load on the on-premises network by transferring data first to Blob Storage over the WAN, then using PolyBase's parallel, optimized transfer within Azure, which is designed for large-scale data movement and can bypass typical WAN 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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