HOTSPOT - For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Hot Area:
https://learn.microsoft.com/en-us/training/modules/explore-fundamentals-stream-processing/2-batch-stream
yny is correct. What other documentation did you use to get ynn
https://docs.microsoft.com/en-us/learn/modules/explore-fundamentals-stream-processing/2-batch-stream
Analysis: You typically use batch processing to perform complex analytics. Stream processing is used for simple response functions, aggregates, or calculations such as rolling averages.
Yes - Stream processing has access to the most recent data received or data within a rolling time window. Stream processing operates on data in near real-time, allowing for analysis and processing of data as it is received or within a defined time window.
No - Batch processing is not required to occur immediately and can have higher latency. Batch processing typically operates on larger volumes of data and is often performed at regular intervals or in scheduled batches, which can have latency in the order of minutes, hours, or even days.
Yes - Stream processing is commonly used for simple response functions, aggregates, or calculations such as rolling averages. It enables real-time data analysis and enables quick calculations and aggregations on streaming data as it arrives.
thats BS. the docummentation for DP900 literally says "Stream processing is used for simple response functions, aggregates, or calculations such as rolling averages."
so the answer is YES NO YES
first question:
according to the link is yes:
Data scope: Batch processing can process all the data in the dataset. Stream processing typically only has access to the most recent data received, or within a rolling time window (the last 30 seconds, for example).
https://docs.microsoft.com/en-us/learn/modules/explore-fundamentals-stream-processing/2-batch-stream
second question: no
third question: yes.
according to the link: Analysis: You typically use batch processing to perform complex analytics. Stream processing is used for simple response functions, aggregates, or calculations such as rolling averages.
https://docs.microsoft.com/en-us/learn/modules/explore-fundamentals-stream-processing/2-batch-stream
stream processing is often used for simple response functions, aggregates, or calculations such as rolling averages. Stream processing is a type of data processing that allows you to analyze, process and act on data as it is generated or received, in real-time. This type of processing is well-suited for use cases such as monitoring sensor data, analyzing log files, and running real-time analytics on financial or telemetry data, therefore it can be used to perform simple calculations like aggregates or rolling averages. Additionally, it also allows to perform complex calculations and machine learning models in near real-time.
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