Drag and Drop Question Match the data processing languages to the appropriate real-time analytics services. To answer, drag the appropriate term from the column on the left to its description on the…

The correct answer is Azure Data Explorer; Azure Stream Analytics; Azure Synapse Analytics. Azure Data Explorer uses KQL (Kusto Query Language) as its native query language for querying large volumes of streaming and time-series data in real time. Azure Stream Analytics uses SQL-like syntax (SQL) to define data transformation and filtering logic on streaming data from…

Submitted by olafpl· Mar 30, 2026Describe how to work with real-time data in Azure / Identify Azure data analytics services and their associated query languages (DP-900 or DP-203 exam domain)

Question

Drag and Drop Question Match the data processing languages to the appropriate real-time analytics services. To answer, drag the appropriate term from the column on the left to its description on the right. Each term may be used once, more than once, or not at all. NOTE: Each correct match is worth one point. Answer:

Exhibit

Answer Area

Drag items

JavaScriptKQLPythonSQL

Correct arrangement

Azure Data Explorer
Azure Stream Analytics
Azure Synapse Analytics

Explanation

Azure Data Explorer uses KQL (Kusto Query Language) as its native query language for querying large volumes of streaming and time-series data in real time. Azure Stream Analytics uses SQL-like syntax (SQL) to define data transformation and filtering logic on streaming data from sources like IoT Hub and Event Hubs. Azure Synapse Analytics uses SQL (and also supports Spark/Python) as its primary query language for large-scale analytics, but in the context of real-time analytics matching, SQL is the canonical answer for Synapse Analytics.

Topics

#Real-Time Analytics#Azure Data Services#Query Languages#KQL vs SQL

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