DP-203 · Question #269
The Complex event processing streaming solution which Jeffrey is working on the IoT platform, is a hybrid cloud platform where few data sources are transformed into on-premises Big Data platform…
The correct answer is A. Spark Structured Streaming / Apache Storm. Option A is correct because Spark Structure Streaming/ Apache Storm can be used for complex event processing for real-time data streams on-premises. Option B is incorrect because Apache ignite can't help with real-time event processing with UDF jobs processing. Option C is…
Question
The Complex event processing streaming solution which Jeffrey is working on the IoT platform, is a hybrid cloud platform where few data sources are transformed into on-premises Big Data platform. The on-premises data center and Azure services are connected via a virtual network gateway. What kind of resources can he choose for this on-premises Big data platform connected to Azure via virtual network gateway, complex data processing and execution UDF jobs on java?
Options
- ASpark Structured Streaming / Apache Storm
- BApache Ignite
- CApache Airflow
- DApache Kafka
- ENone of the above
How the community answered
(32 responses)- A72% (23)
- B3% (1)
- C3% (1)
- D16% (5)
- E6% (2)
Explanation
Option A is correct because Spark Structure Streaming/ Apache Storm can be used for complex event processing for real-time data streams on-premises. Option B is incorrect because Apache ignite can't help with real-time event processing with UDF jobs processing. Option C is incorrect because Apache Airflow is a platform for programmatically authoring, monitoring workflows. Option D is incorrect because Apache Kafka is used for publishing and consuming event streams in pub-sub scenarios. https://docs.microsoft.com/en-us/azure/stream-analytics/streaming-technologies
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