Quick Answer
The correct approach is to enable Change Data Capture (CDC) on the source Azure SQL Database table. CDC works by automatically tracking insert, update, and delete operations in dedicated change tables, allowing Azure Synapse Pipelines to query only the rows modified since the last incremental load. This eliminates the need for costly full table scans or timestamp-based comparisons, directly aligning with the DP-203 exam’s focus on efficient data movement patterns. On the exam, this scenario often appears as a scenario-based question where you must choose between CDC, watermark columns, or snapshot diffs—the trap is selecting a watermark column when the source lacks a reliable timestamp column, or choosing a full load when incremental is required. Remember that CDC is the native, low-overhead solution for change tracking in Azure SQL Database, and it integrates seamlessly with Synapse Pipelines’ lookup and copy activities. Memory tip: “CDC catches changes, no timestamps needed.”
This DP-203 practice question tests your understanding of develop data processing. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are using Azure Synapse Pipelines to perform an incremental load from Azure SQL Database to Azure Synapse Analytics. You need to identify rows that have changed since the last load. Which approach should you use?
Compare the current data with a snapshot using T-SQL MERGE.
Why wrong: Inefficient and not scalable for large datasets.
Truncate and reload the entire table daily.
Why wrong: Not incremental; uses full load.
Use a watermark column such as LastModifiedDate.
Why wrong: May miss deletions and updates that don't change the watermark.
Enable Change Data Capture (CDC) on the source table.
CDC captures all changes and supports incremental load.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Enable Change Data Capture (CDC) on the source table.
Option D is correct because Change Data Capture (CDC) on the source Azure SQL Database captures insert, update, and delete operations in change tables, enabling Azure Synapse Pipelines to efficiently identify only the changed rows since the last load. This approach minimizes data movement and processing overhead compared to full or snapshot-based comparisons, making it the recommended pattern for incremental loads in Synapse Pipelines.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Compare the current data with a snapshot using T-SQL MERGE.
Why it's wrong here
Inefficient and not scalable for large datasets.
Truncate and reload the entire table daily.
Why it's wrong here
Not incremental; uses full load.
Use a watermark column such as LastModifiedDate.
Why it's wrong here
May miss deletions and updates that don't change the watermark.
Enable Change Data Capture (CDC) on the source table.
Why this is correct
CDC captures all changes and supports incremental load.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often choose the watermark column approach (Option C) because it seems simpler, but they overlook that CDC is the only option that natively captures all DML changes (including deletes) without requiring schema modifications or custom logic to handle edge cases like out-of-order updates.
Detailed technical explanation
CDC in Azure SQL Database uses a log-based capture process that reads the transaction log to record changes in dedicated change tables, which can be queried using system functions like `cdc.fn_cdc_get_all_changes_...`. In Azure Synapse Pipelines, the 'Incremental copy' activity with CDC source integration automatically handles the change tracking state, including watermarking and change table cleanup, reducing custom coding. A real-world scenario where CDC is critical is in high-volume OLTP systems where even a small window of missed deletes or updates could cause data inconsistency in the analytics layer.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Develop data processing — This question tests Develop data processing — Read the scenario before looking for a memorised answer..
The correct answer is: Enable Change Data Capture (CDC) on the source table. — Option D is correct because Change Data Capture (CDC) on the source Azure SQL Database captures insert, update, and delete operations in change tables, enabling Azure Synapse Pipelines to efficiently identify only the changed rows since the last load. This approach minimizes data movement and processing overhead compared to full or snapshot-based comparisons, making it the recommended pattern for incremental loads in Synapse Pipelines.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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