Microsoft Azure Data Fundamentals DP-900 Practice Question

Your company is designing a large-scale analytics architecture in Azure. The team needs a storage layer that can ingest and keep raw structured, semi-structured, and unstructured data without applying a schema up front, while scaling to petabytes at a comparatively low cost. Which type of analytical data store should they choose?

  • A NoSQL key-value store implemented with Azure Cosmos DB Table API

  • An in-memory cache hosted on Azure Cache for Redis

  • A relational data warehouse using Azure Synapse dedicated SQL pool

  • A data lake built on Azure Data Lake Storage Gen2

Microsoft Azure Data Fundamentals DP-900
Describe an analytics workload
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