Microsoft Azure Data Fundamentals DP-900 Practice Question
Your company must store terabytes of structured sensor data and unstructured log files in one Azure repository for future analytics and machine-learning workloads. The store must provide a hierarchical namespace that behaves like a file system, be optimized for Azure Databricks, and integrate natively with Azure Synapse Analytics. Which Azure service meets these requirements?
Azure Data Lake Storage Gen2 extends Azure Blob Storage with a hierarchical namespace and Hadoop-compatible access, making it suitable as the storage foundation for large-scale analytics solutions. It integrates natively with engines such as Azure Databricks and Azure Synapse Analytics and is designed to hold massive volumes of both structured and unstructured data. Standard Blob storage in the hot tier lacks these analytics-focused features, while Azure SQL Database and Azure Cosmos DB are operational data stores intended for transactional or NoSQL workloads rather than serving as scalable, file-system-like data lakes.
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Microsoft Azure Data Fundamentals DP-900
Describe an analytics workload
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