DP-203 Develop data processing Practice Question
Exhibit
{
"name": "CopyTradeData",
"properties": {
"activities": [
{
"name": "CopyData",
"type": "Copy",
"inputs": [{"referenceName": "SourceDataset", "type": "DatasetReference"}],
"outputs": [{"referenceName": "SinkDataset", "type": "DatasetReference"}],
"typeProperties": {
"source": {
"type": "AzureBlobStorageSource",
"recursive": true
},
"sink": {
"type": "AzureSqlSink",
"writeBatchSize": 10000,
"preCopyScript": "TRUNCATE TABLE dbo.Trades"
}
}
}
]
}
}Refer to the exhibit. You have an Azure Data Factory pipeline that copies trade data from Azure Blob Storage to Azure SQL Database. The pipeline runs every hour and truncates the destination table before each copy. However, users report that data is missing during the copy window. What is the most likely cause?
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
✓
The preCopyScript truncates the table before the copy completes, causing a period with no data
The preCopyScript truncates the destination table before the copy operation begins. During the copy window, if the copy takes time or fails, the table remains empty, causing users to see missing data. Option A is incorrect because the output dataset configuration does not cause this issue. Option B is incorrect because writeBatchSize affects performance but not data loss. Option D is incorrect because recursive setting affects source file selection, not data loss.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The output dataset is not correctly configured
Why it's wrong here
It is configured.
- ✗
The writeBatchSize is too low, causing timeouts
Why it's wrong here
Does not cause data loss.
- ✓
The preCopyScript truncates the table before the copy completes, causing a period with no data
Why this is correct
Table is empty during copy.
- ✗
The source dataset is set to recursive, which includes unwanted files
Why it's wrong here
Recursive only affects file discovery.
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
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.
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
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