Quick Answer
The answer is Microsoft Purview. This is the correct choice because Purview is a unified data governance service that provides automated data discovery and classification for both structured and unstructured data, making it the ideal data catalog service for an Azure data lake. It scans your data lake, builds a searchable inventory of assets, and tracks end-to-end data lineage, enabling users to easily find and understand their data. On the DP-900 exam, this question tests your understanding of which governance tool handles metadata management across hybrid and multicloud environments, not just storage. A common trap is confusing Azure Data Lake Storage (the storage service) with the cataloging layer—Purview sits on top to govern the data. Another pitfall is picking Azure Synapse Analytics, which is for analytics pipelines, not cataloging. Memory tip: think “Purview = pure view of your data assets,” linking the name to its role as a central catalog for discovery and governance.
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.
An organization has a data lake that contains both structured and unstructured data. They need to catalog the data assets and enable data discovery for users. Which Azure service should they use?
Azure Data Factory
Why wrong: Data integration, not cataloging.
Microsoft Purview
Data governance and cataloging service.
Azure Synapse Analytics
Why wrong: Analytics platform, not a catalog.
Azure Data Lake Storage
Why wrong: Storage only, no cataloging.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Microsoft Purview
Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. It provides automated data discovery, sensitive data classification, and end-to-end data lineage, making it the correct choice for cataloging both structured and unstructured data assets in a data lake and enabling data discovery for users.
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.
Azure Data Factory
Why it's wrong here
Data integration, not cataloging.
Microsoft Purview
Why this is correct
Data governance and cataloging service.
Related concept
Read the scenario before looking for a memorised answer.
Azure Synapse Analytics
Why it's wrong here
Analytics platform, not a catalog.
Azure Data Lake Storage
Why it's wrong here
Storage only, no cataloging.
Common exam traps
The trap here is that candidates often confuse Azure Data Factory’s data movement and transformation capabilities with data cataloging, or they assume Azure Synapse Analytics includes a built-in catalog, when in fact Microsoft Purview is the dedicated service for data discovery and governance.
Detailed technical explanation
Microsoft Purview uses Apache Atlas-based type system and a scanning engine that connects to data sources via runtime scanners, automatically extracting metadata such as schema, partitions, and file formats. It supports both structured (e.g., Azure SQL Database, Azure Synapse) and unstructured (e.g., Azure Blob Storage, ADLS Gen2) sources, and it can classify sensitive data using built-in or custom classification rules based on regular expressions and machine learning. In a real-world scenario, Purview’s data lineage feature automatically captures how data moves through pipelines, enabling impact analysis when source schemas change.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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.
What to study next
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FAQ
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
The correct answer is: Microsoft Purview — Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. It provides automated data discovery, sensitive data classification, and end-to-end data lineage, making it the correct choice for cataloging both structured and unstructured data assets in a data lake and enabling data discovery for users.
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
This DP-900 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-900 exam.
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