DP-203 Develop data processing Practice Question
You are running a batch processing job using Azure Data Factory. The job reads from Azure Blob Storage, transforms data with a Data Flow, and writes to Azure Synapse Analytics. The job fails intermittently with the error: 'Operation on target WriteToSynapse failed: Cannot bulk load because the file could not be opened.' You need to resolve the issue with minimal downtime. What should you do?
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 staging blob file deletion in the copy activity settings.
The error indicates a transient lock on the staging blob file. Enabling staging blob file deletion in the copy activity settings allows the pipeline to clean up and retry. Increasing the degree of copy parallelism does not address file locking. Using PolyBase with external tables requires schema changes. Switching to staging via SQL authentication does not solve the file lock issue.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Enable staging blob file deletion in the copy activity settings.
Why this is correct
Deleting the staging blob after successful load prevents lock conflicts on retry.
- ✗
Increase the degree of copy parallelism in the Data Flow.
Why it's wrong here
This may improve performance but does not resolve the file lock issue.
- ✗
Use PolyBase to load data directly from Blob Storage without staging.
Why it's wrong here
PolyBase requires external table definitions and may not be applicable for all transformations.
- ✗
Switch to staging via SQL authentication instead of Managed Identity.
Why it's wrong here
Authentication method does not affect file locking.
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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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.