Azure CosmosDB API Provisioned for Spark Pool on Synapse Analytics | Fabrikum LLC

Azure CosmosDB API Provisioned for Spark Pool

Question

Jason is a Cloud Data Engineer of Fabrikum LLC working on processing streaming data throughSpark pool on Synapse analytics using CosmosDB HTAP container.

The HTAP container forCosmosDB is enabled on Synapse analytics for transactional & analytical data stores. What kind of Azure CosmosDB API can be provisioned for Spark pool on Synapse analytics pipeline?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D. E.

Correct Answer: D.

The correct answer for the question is B. SQL & Graph (Gremlin) API.

Azure Synapse Analytics is a cloud-based analytics service that is optimized for analyzing large-scale data sets. It allows data engineers to use Apache Spark for big data processing, and it provides integration with Azure Cosmos DB, which is a globally distributed, multi-model database service that supports NoSQL data models.

Cosmos DB in Synapse Analytics is designed for Hybrid Transactional and Analytical Processing (HTAP), which means it is suitable for workloads that involve both transactional and analytical data processing. HTAP containers in Cosmos DB allow data engineers to perform analytics on the same data that is being used for transactional processing, which can help improve performance and reduce data latency.

When integrating with Spark pool on Synapse analytics pipeline, the Azure Cosmos DB SQL API and Graph (Gremlin) API can be provisioned.

The SQL API is a JSON document database API that supports querying data using SQL syntax, which makes it easy for data engineers who are familiar with SQL to work with Cosmos DB. The Graph (Gremlin) API, on the other hand, provides a graph database API that supports the Apache TinkerPop Gremlin query language, which is optimized for working with graph data structures.

Option A (MongoDB and Cassandra API) is incorrect because these are not available in Azure Cosmos DB in Synapse Analytics pipeline. Option C (Mongo and Table storage API) is incorrect because Table storage API is not available in Cosmos DB in Synapse Analytics pipeline. Option D (SQL and MongoDB API) is incorrect because MongoDB API is not available in Cosmos DB in Synapse Analytics pipeline. Therefore, the correct answer is B (SQL and Graph (Gremlin) API).