Answer: Azure Databricks

The question asks for a compute target to deploy a data science workspace using Azure Machine Learning service. Azure Databricks (B) is the optimal choice because it provides a collaborative, scalable environment specifically designed for data science workflows, integrates seamlessly with Azure ML for model training and deployment, and supports distributed data processing via Apache Spark. While Azure Container Service (C) was historically used for container-based deployments, it was retired in January 2020, making it unsuitable. Azure Data Lake Analytics (A) is for data processing, not workspace deployment, and Apache Spark for HDInsight (D) is an alternative but less integrated than Databricks. Community consensus (56% for B) and detailed reasoning in comments support B as the correct answer, emphasizing Databricks' integration, scalability, and collaboration features for data science workspaces.

Author: LeetQuiz Editorial Team