Microsoft Azure Data Fundamentals DP-900 Practice Question
Your team needs to store information about devices and the connections between them. Queries will look for all devices two hops away from a given device or the shortest path between devices. You require automatic indexing, millisecond latency, and global distribution. In Azure Cosmos DB, which API should you select?
Azure Cosmos DB's Gremlin API is purpose-built for graph data models where entities (vertices) and relationships (edges) are first-class citizens. It supports graph traversal operations such as finding neighbors or shortest paths and inherits Cosmos DB platform features like automatic indexing, single-digit-millisecond latency, and global distribution.
The Cassandra API targets wide-column workloads, the Core (SQL) API is optimized for JSON document storage, and the Table API is aimed at key-value access patterns that mirror Azure Table storage. None of those APIs natively support graph traversal queries, making Gremlin the correct choice for the described scenario.
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Microsoft Azure Data Fundamentals DP-900
Describe considerations for working with non-relational data on Azure
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