You're tasked with setting up a real-time data ingestion pipeline into Databricks from IoT devices, requiring efficient handling of high-velocity and high-volume data. Which approach ensures scalability and reliability of the data ingestion layer?

Real Exam

Deploy individual Databricks jobs for each IoT device to ensure dedicated resources for ingestion.

3.9%

Batch ingest data at hourly intervals to reduce the load on the Databricks clusters.

1.3%

Directly stream IoT data into Delta tables without any intermediate processing to minimize latency.

17.1%

Use Azure Event Hubs as a front buffer to ingest data streams, then process and store the data in Delta Lake using Databricks Structured Streaming.

77.6%

Databricks Certified Data Engineer - Professional