For the data and analysis section, make sure you’re comfortable with how Azure Stream Analytics works. This service is all about real-time analytics processing vast moving data from multiple sources all at once.
Azure Stream Analytics is a real-time analytics and complex event-processing engine that is designed to analyze and process high volumes of fast streaming data from multiple sources simultaneously.

Design an Azure Stream Analytics solution for data analysis
You’ll want to study how it handles telemetry streams from IoT devices, which is one of the common uses for this.
Also, look in to the web log and clickstream analysis. This is where stream analytics helps track user behavior for websites in real time. So, keep that in mind.
Another thing that you’ll want to look at is geospatial analytics, which is used especially for fleet management and autonomous vehicles. You should understand how it tracks location data and how it optimizes routes and detects anomalies.
Then there is remote monitoring and predictive maintenance; understand what that is and how that works. And don’t skip over things like point-of-sale systems that we can use. So, these are examples of how we can use stream analytics.
Finally, study the data flow; how data is ingested from sources like IoT hubs and social feeds analyzed in real-time using stream analytics and then how it’s delivered to dashboards like Power BI or to storage like let’s say an Azure SQL database, or some other automation tool like an Azure function.
Knowing how these pieces connect will help you answer any scenario-based questions with confidence.
Analysis of real-time telemetry streams from loT devices
Web logs/clickstream analytics
Geospatial analytics for fleet management and driverless vehicles
Remote monitoring and predictive maintenance of high-value assets
Real-time analytics on point-of-sale data for inventory control and anomaly detection
Design a data integration solution with Azure Data Factory
Design a data integration and analytic solution with Azure Databricks
Design a data integration and analytic solution with Azure Synapse Analytics
Design strategies for hot, warm, and cold data paths