Microsoft Azure Data Fundamentals DP-900 Practice Question
A data analytics team needs an Azure service that supplies fully managed, auto-scaling Apache Spark clusters, built-in collaborative notebooks, and tight integration with popular machine-learning libraries. They do not want to administer the underlying Spark infrastructure themselves. Which Microsoft service should they choose?
Azure Databricks is a fully managed analytics platform optimized for Apache Spark. It automatically provisions and scales Spark clusters, provides collaborative notebooks for data engineering and data science, and integrates with MLlib, TensorFlow, and other machine-learning libraries. Azure HDInsight can run Spark but requires more cluster management by the customer. An Azure Synapse Analytics dedicated SQL pool is a data-warehousing engine that uses T-SQL rather than Spark. Microsoft Fabric Data Warehouse (Warehouse or Lakehouse) focuses on relational and Delta tables within Fabric; it is not primarily a managed Spark service with notebooks. Therefore, Azure Databricks best matches the stated requirements.
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Microsoft Azure Data Fundamentals DP-900
Describe an analytics workload
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