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Google Professional Cloud DevOps Engineer Exam - Topic 3 Question 109 Discussion

You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?
C) * In your application, create a metric with a metricKind set to gauge and a valueType set to distribution.* In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.
A) * In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.* In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.
B) * In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE.* In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.
D) * In your application, create a metric with a metricKind. set toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.* In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.

Google Professional Cloud DevOps Engineer Exam - Topic 3 Question 109 Discussion

Actual exam question for Google's Professional Cloud DevOps Engineer exam
Question #: 109
Topic #: 3
[All Professional Cloud DevOps Engineer Questions]

You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?

Show Suggested Answer Hide Answer
Suggested Answer: C

https://sre.google/workbook/implementing-slos/

https://cloud.google.com/architecture/adopting-slos/

Latency is commonly measured as a distribution. Given a distribution, you can measure various percentiles. For example, you might measure the number of requests that are slower than the historical 99th percentile.


by Mozell at Jun 27, 2026, 06:57 AM

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Dorothea
But B uses a line graph, which might not capture spikes well. C is more dynamic.
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Mable
5 days ago
I'm leaning towards B. Cumulative metrics can help track overall latency trends.
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Truman
10 days ago
I agree, C seems right. Heatmap visualization can show user experience effectively.
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Malcom
15 days ago
I think option C is the best choice. A gauge with distribution gives a clear view of latencies.
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Isidra
21 days ago
I'm surprised there's no mention of using a histogram for latencies!
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Willetta
26 days ago
Totally agree with B, it's the most straightforward approach.
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Leigha
1 month ago
Wait, why would anyone choose D? That doesn't even specify a metric kind!
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Martina
1 month ago
I think C could work too, especially for visualizing distributions.
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Justine
1 month ago
Option B is the best choice for tracking latencies over time.
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Salina
2 months ago
Cumulative metrics are great for trends, so B all the way!
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Ahmed
2 months ago
Surprised D is even an option, that sounds off.
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Virgilio
2 months ago
A is a bit confusing, why use DELTA for latencies?
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Freeman
2 months ago
I think C is better for real-time distribution insights!
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Stephaine
2 months ago
Option B seems solid for tracking cumulative latencies.
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Nida
2 months ago
I think I read that using a gauge with distribution could help visualize latency better, but I’m not confident if that’s the best option here.
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Bulah
3 months ago
I’m a bit confused about the value types. I remember something about using distribution for latencies, but I can't recall the exact details.
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Salome
3 months ago
I feel like we practiced a similar question where we had to choose between DELTA and CUMULATIVE. I think CUMULATIVE makes more sense for tracking overall latencies over time.
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Judy
3 months ago
I remember we discussed the importance of using the right metric kind for tracking latencies. I think Cumulative might be the way to go, but I'm not entirely sure.
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