The answer is to use Azure Data Factory with Purview integration enabled to copy data. This is correct because when the Purview integration is activated in Data Factory, every copy activity automatically pushes detailed lineage metadata—including source, sink, and any transformation steps—directly into the Azure Purview catalog. This eliminates manual tagging and ensures complete, real-time data provenance across the pipeline. On the DP-900 exam, this scenario tests your understanding of how native Azure services reduce operational overhead; a common trap is assuming lineage requires custom code or third-party tools. Remember that Data Factory’s integration is a one-click toggle, not a separate process. For the memory tip, think “Copy + Connect = Cataloged Lineage”: whenever Data Factory copies data with Purview linked, lineage flows automatically.
DP-900 Describe an analytics workload on Azure Practice Question
This DP-900 practice question tests your understanding of describe an analytics workload on azure. 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.
Your data engineering team is designing a data pipeline that ingests data from multiple sources into Azure Data Lake Storage Gen2. The data must be cataloged in Azure Purview for discoverability. Which approach ensures that the data lineage is automatically captured?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Azure Data Factory with Purview integration enabled to copy data.
Option B is correct because Azure Data Factory's native Purview integration automatically captures lineage metadata during data copy activities. When enabled, Data Factory pushes runtime lineage information (source, sink, transformation steps) directly to Purview without manual intervention, ensuring complete and accurate data provenance.
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 to copy data and manually register the datasets in Purview.
Why it's wrong here
Manual registration does not capture lineage automatically.
✓
Use Azure Data Factory with Purview integration enabled to copy data.
Why this is correct
Purview integration in ADF automatically captures lineage for copy activities.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Azure Databricks to write data and call Purview's Atlas API to update lineage.
Why it's wrong here
This is possible but not automatic; requires custom code.
✗
Schedule Purview scans on the data lake after data ingestion.
Why it's wrong here
Scans capture metadata but not lineage between source and destination.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse data cataloging (scanning) with lineage capture, assuming that scanning the data lake after ingestion (Option D) will automatically show how data got there, but scanning only reveals schema and classification, not the data flow path.
Detailed technical explanation
How to think about this question
Under the hood, Azure Data Factory's Purview integration uses the Apache Atlas hook mechanism to emit lineage events during pipeline execution. Each copy activity generates a lineage graph showing source datasets, transformation activities, and sink datasets, which Purview consumes via its Atlas API. This automatic lineage capture is critical for compliance scenarios (e.g., GDPR) where auditors need to trace data origin and transformation history without manual effort.
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.
TExam Day Tips
→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-900 question in full detail.
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Azure Data Factory with Purview integration enabled to copy data. — Option B is correct because Azure Data Factory's native Purview integration automatically captures lineage metadata during data copy activities. When enabled, Data Factory pushes runtime lineage information (source, sink, transformation steps) directly to Purview without manual intervention, ensuring complete and accurate data provenance.
What should I do if I get this DP-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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