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Answer: Implement Azure Purview to automate the discovery, classification, and cataloging of data assets across the organization. Utilize its advanced data lineage features to monitor data flow and transformations, ensuring compliance with data privacy regulations.
Option B is the correct answer because Azure Purview is specifically designed for comprehensive data governance, offering capabilities for automated data discovery, classification, and cataloging, along with detailed data lineage tracking. These features are essential for ensuring data accuracy, consistency, and compliance with privacy regulations, while also supporting scalability. Option A focuses on data discovery and pipeline orchestration but lacks the comprehensive governance and lineage tracking provided by Azure Purview. Option C is limited to policy enforcement and does not address data quality or lineage. Option D, while providing data management and some quality features, does not offer the extensive governance and compliance tools found in Azure Purview.
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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with designing a comprehensive data governance strategy for your organization's Fabric environment. The organization processes a vast amount of data from multiple sources, including IoT devices, social media, and transactional databases. The strategy must ensure data accuracy, consistency, and compliance with global data privacy regulations such as GDPR and CCPA. Additionally, the solution must support scalability to accommodate future data growth and provide detailed data lineage for audit purposes. Which of the following solutions BEST meets these requirements? (Choose one option)
A
Deploy Azure Data Catalog for data discovery and cataloging, and integrate Azure Data Factory for orchestrating data pipelines that enforce data quality rules and transformations.
B
Implement Azure Purview to automate the discovery, classification, and cataloging of data assets across the organization. Utilize its advanced data lineage features to monitor data flow and transformations, ensuring compliance with data privacy regulations.
C
Apply Azure Policy to uniformly enforce data governance policies, including data retention and privacy compliance, across all Azure services used by the organization.
D
Utilize Azure Synapse Analytics to consolidate and manage data from diverse sources. Rely on its inherent data quality and lineage tracking capabilities to maintain data integrity and meet regulatory requirements.