DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
You need to ensure that an Azure Data Factory pipeline can copy data from an Azure SQL Database that is behind a private endpoint. The Data Factory should use a managed virtual network. What should you configure?
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
✓
Enable managed virtual network for the Data Factory and create a managed private endpoint for the SQL Database.
A managed private endpoint in the Data Factory's managed virtual network allows secure access to the SQL Database's private endpoint. Option A is wrong because the integration runtime must be in the same virtual network. Option B is wrong because self-hosted IR is for on-premises data sources. Option D is wrong because Azure Bastion is for VM access, not data factory.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Install a self-hosted integration runtime on a VM in the same virtual network.
Why it's wrong here
Self-hosted IR is for on-premises or non-Azure sources, not needed here.
- ✗
Use the default Azure integration runtime.
Why it's wrong here
The default integration runtime is public, not in a managed virtual network.
- ✓
Enable managed virtual network for the Data Factory and create a managed private endpoint for the SQL Database.
Why this is correct
Managed private endpoints enable secure connectivity over private network.
- ✗
Use Azure Bastion to connect the Data Factory to the SQL Database.
Why it's wrong here
Azure Bastion provides secure RDP/SSH access to VMs, not data connectivity.
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
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.
Key term
Data Transformation Pipelines
Data transformation pipelines are automated sequences of steps that take raw data from a source, clean and reshape it into a usable format, and then load it into a destination for analysis or storage.
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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.