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Microsoft DP-300 Exam - Topic 12 Question 37 Discussion

Actual exam question for Microsoft's DP-300 exam
Question #: 37
Topic #: 12
[All DP-300 Questions]

Your company uses Azure Stream Analytics to monitor devices.

The company plans to double the number of devices that are monitored.

You need to monitor a Stream Analytics job to ensure that there are enough processing resources to handle the

additional load.

Which metric should you monitor?

Show Suggested Answer Hide Answer
Suggested Answer: D

The Watermark delay metric is computed as the wall clock time of the processing node minus the largest watermark it has seen so far.

The watermark delay metric can rise due to:

1. Not enough processing resources in Stream Analytics to handle the volume of input events.

2. Not enough throughput within the input event brokers, so they are throttled.

3. Output sinks are not provisioned with enough capacity, so they are throttled.


https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-time-handling

Contribute your Thoughts:

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Brande
5 months ago
I doubt Watermark delay is the best choice here.
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Brock
5 months ago
Surprised no one mentioned Early Input Events!
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Emerson
5 months ago
Input Deserialization Errors could be a problem too.
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Rolande
5 months ago
I think Late Input Events is more important for this.
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Cheryl
5 months ago
Definitely keep an eye on Watermark delay.
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Kristeen
5 months ago
I’m a bit confused about the differences between Early and Late Input Events. I thought they were both important, but I guess Watermark delay could indicate if we need more resources.
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Leslie
5 months ago
Late Input Events sounds familiar, but I can't recall if it directly relates to processing resources. I might lean towards Watermark delay based on what I studied.
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Pamella
5 months ago
I remember practicing a similar question where we had to identify metrics for performance. Input Deserialization Errors might be relevant too, but I feel like it’s more about errors than resource usage.
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Ria
5 months ago
I think we should monitor the Watermark delay, but I'm not entirely sure if that's the best choice for resource allocation.
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Lucy
6 months ago
Okay, I think I've got this. The key is understanding how the call bridges interact with the databases in the cluster. I'll focus on evaluating each option and how it affects the overall resilience and scalability of the deployment.
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Laurel
6 months ago
This question seems straightforward, I think I can handle it.
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Gaston
6 months ago
Hmm, this is a tricky one. I'm not totally confident, but I think option B, BBB-, is the lowest investment-grade rating.
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