You have an Azure Stream Analytics job named Job1.
The metrics of Job1 from the last hour are shown in the following table.
The late arrival tolerance for Job1 is set to five seconds.
You need to optimize Job1.
Which two actions achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.
To optimize Job1, you should consider increasing the number of SUs and parallelizing the query. Increasing the number of SUs (Streaming Units) can help by providing more resources, which can improve memory and CPU utilization efficiency. Parallelizing the query helps to distribute the workload more effectively, reducing processing time and optimizing performance. Given that there are no runtime errors or deserialization errors, addressing errors in input or output processing is not necessary.
no error to resolve
A is correct for sure. C and D are wrong, because there was no error to resolve.