The answer is to use Spark Structured Streaming in Azure Databricks to read CDC changes and write to Delta Lake. This approach guarantees exactly-once semantics for streaming through Delta Lake’s transaction log and checkpointing mechanism, which tracks every micro-batch offset and commit, ensuring no row is duplicated or lost even during failures. On the DP-203 exam, this question tests your understanding of how to achieve reliable, low-latency ingestion from a CDC source into Azure Data Lake Storage Gen2, a common scenario for real-time analytics pipelines. The key trap is confusing batch tools like Azure Data Factory or COPY INTO with streaming; remember that only Structured Streaming with Delta Lake provides the transactional guarantees needed for row-level exactly-once processing. A helpful memory tip: “Stream with Delta for zero duplicates—checkpoints and logs seal the deal.”
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
This DP-203 practice question tests your understanding of secure, monitor, and optimize data storage and 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 designing a data ingestion pipeline for Azure Data Lake Storage Gen2 using Azure Databricks. The source is an on-premises SQL Server database with incremental changes captured via change data capture (CDC). The requirement is to ensure exactly-once semantics for each row while minimizing latency. Which approach should you recommend?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Spark Structured Streaming in Azure Databricks to read CDC changes and write to Delta Lake.
Option B is correct because Spark Structured Streaming with Delta Lake provides exactly-once semantics via transaction logs and checkpoints, and is designed for low-latency streaming. Option A is wrong because Azure Data Factory triggers are batch-oriented and not suitable for streaming low-latency. Option C is wrong because COPY INTO is for batch loads, not streaming. Option D is wrong because PolyBase is for bulk load, not streaming.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Use Azure Data Factory with a tumbling window trigger to copy data every 5 minutes.
Why it's wrong here
This is batch, not streaming, and cannot guarantee exactly-once per row easily.
✗
Use PolyBase to create external tables and run T-SQL MERGE statements.
Why it's wrong here
PolyBase is for batch loading, not streaming.
✗
Use Azure Databricks Auto Loader with COPY INTO command.
Why it's wrong here
Auto Loader is for file ingestion, not CDC from databases.
✓
Use Spark Structured Streaming in Azure Databricks to read CDC changes and write to Delta Lake.
Why this is correct
Structured Streaming with Delta Lake ensures exactly-once and low latency.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Secure, monitor, and optimize data storage and data processing — This question tests Secure, monitor, and optimize data storage and data processing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Spark Structured Streaming in Azure Databricks to read CDC changes and write to Delta Lake. — Option B is correct because Spark Structured Streaming with Delta Lake provides exactly-once semantics via transaction logs and checkpoints, and is designed for low-latency streaming. Option A is wrong because Azure Data Factory triggers are batch-oriented and not suitable for streaming low-latency. Option C is wrong because COPY INTO is for batch loads, not streaming. Option D is wrong because PolyBase is for bulk load, not streaming.
What should I do if I get this DP-203 question wrong?
Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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