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When to use batch processing. You might expect latencies when using batch processing. For many situations, however, this type of delay before the transfer of data begins is not a big issue - the processes that use this function are not mission critical at the exact moment. Reference: https://www.bmc.com/blogs/what-is-batch-processing-batch-processing-explained/
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a. data is always inserted one row at a time
Incorrect. In batch processing, data is typically processed in groups or batches rather than one row at a time. This approach is more efficient for large volumes of data.
b. data is processed in real-time
Incorrect. Batch processing is the opposite of real-time processing. Data is collected and processed in batches at scheduled times, not immediately as it arrives.
c. latency in delivering data processing is acceptable
Correct. Batch processing accepts a certain level of latency because the data is processed at intervals. This approach works well for use cases where real-time processing is not required.
d. processing can only execute serially
Incorrect. Batch processing does not have to execute serially; it can be executed in parallel, depending on the system's design and the task's requirements.
I believe the given answer is correct.
Resource:
https://learn.microsoft.com/en-us/training/modules/explore-fundamentals-stream-processing/2-batch-stream
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