Hello, and welcome to the lesson
Designing and Configuring Exception Handling.
In this lesson,
we are going to talk about Azure Stream Analytics
and how we deal with exceptions. So,
in the lesson, we're going to talk about output error policy
and what that means.
And then we're going to take a minute to see it live.
So jumping into the Azure Stream Analytics
output error policy, essentially there's 2 options.
First is Drop.
If we choose to Drop, what's going to happen is
if we have an error, we're going to drop those output events
that result.
So errors are just immediately dropped
and we move on with life.
Second option? Retry.
So if we get that, essentially, what we're doing
is we're just going to retry to process that event
and we're going to retry
and retry literally forever, potentially.
We will literally write the event indefinitely
until the right succeeds.
So that's it.
Super fast and easy.
But it is something that you need to know for the DP-203.
So now let's take a minute and see it in the portal.
So let me jump over.
We are in an Azure Stream Analytics job
just going to scroll down here to the bottom
and you can see there
is an Error policy listed here under Configure.
Click on that.
And guess what?
2 options: Drop and Retry.
So we can choose 1 of those 2 things.
Literally, I pick the one want,
I click on the Save button, and that's it.
It's going to save it.
So, believe it or not, for this lesson
that's all we needed to learn.
It is important
because it is listed as a skill on the DP-203.
So basically, this one's simple.
You need to know Drop and Retry, what they do, and why.
Yeah, I know.
Sorry.
All right, that's it for this lesson,
I'll see you in the next.