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AZ-900 · Question #232

Drag and Drop Question Match the Azure service to the correct description. Instructions: To answer, drag the appropriate Azure service from the column on the left to its description on the right. Each

The correct answer is Azure SQL Database; Azure SQL Synapse Analytics; Azure Data Lake Analytics; Azure HDInsight. The correct arrangement maps each Azure service to its core purpose: Azure SQL Database is a fully managed relational database service for OLTP workloads; Azure Synapse Analytics (formerly SQL Data Warehouse) is designed for large-scale enterprise data warehousing and analytics;

Submitted by dimitri_ru· Mar 30, 2026Describe core Azure architectural components and Azure data, AI, and DevOps services - specifically matching Azure analytics and database services to their intended use cases (AZ-900 / DP-900 Data Platform Fundamentals)

Question

Drag and Drop Question Match the Azure service to the correct description. Instructions: To answer, drag the appropriate Azure service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all NOTE: Each correct match is worth one point. Answer:

Exhibits

AZ-900 question #232 exhibit 1
AZ-900 question #232 exhibit 2

Answer Area

Drag items

Azure SQL DatabaseAzure Data Lake AnalyticsAzure SQL Synapse AnalyticsAzure HDInsight

Correct arrangement

  • Azure SQL Database
  • Azure SQL Synapse Analytics
  • Azure Data Lake Analytics
  • Azure HDInsight

Explanation

The correct arrangement maps each Azure service to its core purpose: Azure SQL Database is a fully managed relational database service for OLTP workloads; Azure Synapse Analytics (formerly SQL Data Warehouse) is designed for large-scale enterprise data warehousing and analytics; Azure Data Lake Analytics is an on-demand analytics job service using U-SQL for big data processing without managing infrastructure; and Azure HDInsight is a fully managed cloud service for open-source analytics frameworks like Hadoop, Spark, Hive, and Kafka. Each service occupies a distinct niche in the Azure data platform ecosystem, from transactional databases to distributed big data processing.

Topics

#Azure Data Services#Cloud Analytics#Database Solutions#Big Data

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