Secure, monitor, and optimize data storage and data processing →mediumMultiple ChoiceObjective-mapped
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
You are optimizing an Azure Data Factory pipeline that moves data from Azure Blob Storage to Azure SQL Database. The pipeline currently uses a Copy activity with a staging setting enabled. You notice high DTU consumption on the Azure SQL Database during the copy operation. How can you reduce the impact on the source database?
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
✓
Configure the Copy activity to use staging with Azure Blob Storage and then use a stored procedure to bulk insert.
Staging the copy to Azure Blob Storage and then using a stored procedure for bulk insert reduces the direct load on Azure SQL Database, lowering DTU consumption during the copy. Option B is incorrect because PolyBase is designed for Azure Synapse Analytics, not Azure SQL Database. Option C (parallel copy) can increase throughput but also increases DTU usage, not reducing it. Option D (increasing DTU) is a scaling measure, not a reduction technique.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Configure the Copy activity to use staging with Azure Blob Storage and then use a stored procedure to bulk insert.
Why this is correct
Staging allows the copy to offload transformation to Blob Storage, and bulk insert reduces DTU consumption.
- ✗
Use PolyBase to load data directly from Blob Storage to Azure SQL Database.
Why it's wrong here
PolyBase is not supported in Azure SQL Database; it is for Azure Synapse.
- ✗
Enable parallel copy in the Copy activity settings.
Why it's wrong here
Parallel copy increases throughput but also increases DTU consumption.
- ✗
Increase the DTU of the Azure SQL Database to handle the load.
Why it's wrong here
Increasing DTU adds cost but does not reduce impact on the source; it helps the target.
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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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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