DP-203 Develop data processing Practice Question
Your team is using Azure Data Factory to orchestrate a data pipeline that copies data from an on-premises SQL Server to Azure Blob Storage. The pipeline runs successfully during testing. However, after moving to production, you notice that the pipeline fails intermittently with connectivity errors. You need to ensure reliable data transfer. What should you implement?
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 Self-Hosted Integration Runtime
A Self-Hosted Integration Runtime provides a dedicated gateway for on-premises connectivity, enabling Azure Data Factory to access on-premises data sources reliably. Option A is wrong because Azure Integration Runtime cannot connect to on-premises networks. Option B is wrong because PolyBase is used for loading data into Azure Synapse Analytics, not for resolving connectivity issues. Option C is wrong because Azure VPN Gateway is a general VPN solution and does not directly address Data Factory connectivity to on-premises sources.
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 Integration Runtime (IR)
Why it's wrong here
Azure IR runs in the cloud and cannot directly access on-premises data sources.
- ✗
Use PolyBase for data transfer
Why it's wrong here
PolyBase is a technology for querying external data sources, not for data transfer.
- ✗
Configure Azure VPN Gateway
Why it's wrong here
VPN Gateway is for site-to-site connectivity, not for ADF connectivity directly.
- ✓
Use Self-Hosted Integration Runtime
Why this is correct
Self-hosted IR acts as a gateway connecting ADF to on-premises resources.
Visual reference
Quick reference
Azure Blob Storage Tier Comparison
| Tier | Storage Cost | Retrieval Cost | Latency | Use Case |
|---|---|---|---|---|
| Hot | Highest | Lowest | Immediate | Active data, frequent reads |
| Cool | Lower | Higher | Immediate | Data accessed < once / month |
| Cold | Lower still | Higher | Immediate | Data accessed < once / quarter |
| Archive | Lowest | Highest + rehydration delay | Hours | Long-term compliance retention |
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
Key term
Azure Synapse Analytics
Azure Synapse Analytics is a cloud-based data integration, warehousing, and analytics service that brings together big data and data warehouse capabilities under one platform.
Key term
Azure Data Factory
Azure Data Factory is a cloud-based data integration service that lets you create, schedule, and orchestrate data pipelines to move and transform data from various sources to destinations.
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JA
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.