Question 80
At the Briar housing nonprofit after a wider deployment, a short synchronous Dataverse operation attempts to perform an unpredictable multi-minute video conversion. The operations team needs a supportable remediation with evidence for the handover. Which ongoing engineering control would most directly reduce recurrence?
Explanation
Correct Answer
Make future changes safer by ensuring teams keep long-running steps behind retryable monitored work queues. The control belongs with the original correction to move long-running processing to an asynchronous Azure service such as a queue-triggered Function. In the Briar housing nonprofit, assess this against the documented external compute selection scenario.
Incorrect Answers
That safeguard is appropriate for maintaining data policy boundaries. It would not primarily prevent the reported failure, for which the relevant control is to keep long-running steps behind retryable monitored work queues. For case R082-PL400-CASE-0020, the decisive context is the 2 deployment setting at the Briar housing nonprofit.
This monitoring or review practice targets custom api business operation; the better ongoing protection for this case is to keep long-running steps behind retryable monitored work queues. For case R082-PL400-CASE-0020, the decisive context is the 2 deployment setting at the Briar housing nonprofit.
“Version and accessibility-test the shared PCF control before reuse” checks a different ongoing risk rather than the reported failure: at the Briar housing nonprofit after a wider deployment, a short synchronous Dataverse operation attempts to perform an unpredictable multi-minute video conversion. The operations team needs a supportable remediation with evidence for the handover. The directly matched preventive control is “Keep long-running steps behind retryable monitored work queues”.