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Answer: Use Dataplex to manage data, track data lineage, and perform data quality validation.
The correct answer is **D. Use Dataplex to manage data, track data lineage, and perform data quality validation.** Dataplex is specifically designed for managing, analyzing, and monitoring data across various sources, offering a cost-effective solution for organizing and governing data. It provides comprehensive capabilities for data management, lineage tracking, and quality validation, making it an ideal choice for addressing the organization's challenges. - **Option A** suggests building a custom tool on Google Kubernetes Engine, which may not cover all requirements and could be less cost-effective. - **Option B** involves using BigQuery for lineage tracking and Dataprep for data management and quality validation, which may not offer a holistic solution. - **Option C** proposes converting to a data lake architecture with BigLake, which lacks the necessary features for comprehensive data management and quality validation.
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In a healthcare organization facing challenges with data discovery and management due to decentralized data ownership across various storage services, what is a cost-optimized solution that can quickly address data management, discovery, lineage tracking, and quality validation?
A
Build a new data discovery tool on Google Kubernetes Engine that helps with new source onboarding and data lineage tracking.
B
Use BigQuery to track data lineage, and use Dataprep to manage data and perform data quality validation.
C
Use BigLake to convert the current solution into a data lake architecture.
D
Use Dataplex to manage data, track data lineage, and perform data quality validation.