Designing an Azure Data Solution (legacy) — Question 15

A company has a real-time data analysis solution that is hosted on Microsoft Azure. The solution uses Azure Event Hub to ingest data and an Azure Stream
Analytics cloud job to analyze the data. The cloud job is configured to use 120 Streaming Units (SU).
You need to optimize performance for the Azure Stream Analytics job.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer options

• A. Implement event ordering
• B. Scale the SU count for the job up
• C. Implement Azure Stream Analytics user-defined functions (UDF)
• D. Scale the SU count for the job down
• E. Implement query parallelization by partitioning the data output
• F. Implement query parallelization by partitioning the data output

Correct answer: B, F

Explanation

Scaling the Streaming Units (SU) count up (option B) increases the resources available for processing data, thereby improving performance. Option F is also correct as it allows for better resource utilization and faster processing by partitioning the data output, leading to parallel processing. The other options either do not contribute to performance optimization or could potentially degrade performance.