You work as a Serverless Developer for MDFT Pro, a well-known training agency that provides certification courses to students globally. Mark, the Backend Services Manager, has deployed an HTTP-triggered Azure Function app to process student assignment submissions stored as blobs in Azure Storage.
When students upload their project files, presentations, or code assignments, the function is triggered via HTTP request with an output binding configuration pointing to the blob storage location. The function analyzes the submitted files, checks them for plagiarism, validates file formats, generates feedback reports, and updates the student’s grade record.
However, the processing continues to time out after four minutes, preventing students from receiving timely feedback on their submissions. The function must reliably process all blob data regardless of file size or processing complexity.
Mark has suggested using the Durable Functions async pattern to handle the long-running blob processing tasks. Does this solution adequately address the timeout problem for processing blob data?
Choose the correct answer from the options below.
Explanations for each answer: