Question 1

A manufacturing company generates 10 TB of telemetry data daily from sensors on their assembly lines.

The data is time-series in nature. Engineers need to run ad-hoc, complex analytical queries over billions of rows of this data to identify anomalies and optimize machine performance. The queries must return results in seconds.

Which Azure data service is best optimized for this scenario?

Accepted Answer

Keywords: 'time-series', 'telemetry', 'ad-hoc complex queries', 'billions of rows in seconds'. This is the exact use case for Azure Data Explorer (Kusto).

Question 2

What mistakes do candidates make on this AZ-305 question?

Accepted Answer

Choosing Cosmos DB because it handles IoT data well. Cosmos DB is great for *ingesting* and serving individual IoT records (OLTP), but ADX is better for *analyzing* massive volumes of them (OLAP).

How to approach this question

Full Answer

Common mistakes

Practice the full Azure Solutions Architect Expert AZ-305 Practice Exam 4

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