You are developing a mobile app that uses an API which stores geospabal data in Azure Cosmos DB. The app will be used to find restaurants in a particular area and related information including food types, menu information and the optimal route to a selected restaurant from the user's current location. Which Azure Cosmos DB API should you use for the API?

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A. MongoDB The Azure Cosmos DB MongoDB API natively supports geospatial indexing and query operators, which are crucial for efficiently finding restaurants within a specified area, and its flexible document model is well-suited for storing diverse information like food types and menu details. This combination allows for both location-based searches and the retrieval of comprehensive restaurant data within a single API.

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B. Gremlin The Gremlin API is designed for graph traversal and is not optimized for geospatial queries or document storage of restaurant details.

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C. Cassandra The Cassandra API is a wide-column store suitable for high-throughput, specific access patterns, but it lacks native geospatial indexing and the flexible document model needed.

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D. Core The Core (SQL) API supports some geospatial functions but the MongoDB API offers more comprehensive and familiar geospatial query capabilities for developers already familiar with MongoDB.

You are developing a mobile app that uses an API which stores geospabal data in Azure Cosmos DB. The app will be used to find restaurants in a particular area and related information including food…

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