Azure stream analytics - Core concepts introduction - Part 1 Super fast review of the key concepts from the Azure stream analytics - Core concepts introduction. OK Question Title * 1. Lets assume you have a use case that involves processing of data once a month. What type of processing would you recommend. Stream processing Batch processing OK Question Title * 2. Is batch processing suitable for use cases or situations where you don’t need real-time analytics results. True False OK Question Title * 3. Which of the two event processing process involves applying series of operations or stream processors on the incoming data. Simple Event processing. Complex event processing. OK Question Title * 4. What is event correlation ?. Events from different process are connected by correlating different feature sets and finding out the common elements. Its a type of batch process , which is used to correlate data from different jobs. OK Question Title * 5. Embarrassingly parallel jobs are tasks that can be executed independently without any dependency requirement between the tasks. True False OK Question Title * 6. How likely is it that you would recommend this service to a friend or colleague? NOT AT ALL LIKELY EXTREMELY LIKELY 0 1 2 3 4 5 6 7 8 9 10 0 1 2 3 4 5 6 7 8 9 10 OK DONE