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Google Professional Data Engineer Exam - Topic 1 Question 115 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 115
Topic #: 1
[All Professional Data Engineer Questions]

You have data pipelines running on BigQuery, Cloud Dataflow, and Cloud Dataproc. You need to perform health checks and monitor their behavior, and then notify the team managing the pipelines if they fail. You also need to be able to work across multiple projects. Your preference is to use managed products of features of the platform. What should you do?

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Suggested Answer: B

by Denna at Nov 22, 2025, 10:21 AM

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Vallie
7 days ago
A keeps it simple and effective. We need reliability!
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Paz
12 days ago
D sounds too manual. I prefer automated solutions.
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Jacinta
17 days ago
I like C, but it feels a bit complex with multiple steps.
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Jeanice
22 days ago
Option B is interesting, but managing VMs is extra work.
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Ryan
27 days ago
I agree, A seems straightforward. Alerts are crucial.
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Cecily
1 month ago
I think option A is the best. Stackdriver is great for monitoring.
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Isadora
1 month ago
Wait, can you really use Stackdriver for this? I thought it was just for monitoring!
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Lili
2 months ago
D) seems like too much work for a simple notification.
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Mitsue
2 months ago
C) sounds complicated, why not just use A)?
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Alexis
2 months ago
I think B) is overkill for this task.
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Gabriele
2 months ago
A) Stackdriver is the way to go. Gotta love those managed services!
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Brett
3 months ago
Haha, who still uses email these days? I'd go with a Slack or Teams integration instead.
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Carolann
3 months ago
D) Developing an App Engine app to handle this seems like overkill. Why not use a managed service?
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Yen
3 months ago
Developing an App Engine app sounds like a lot of work, and I’m not sure if it’s the best approach compared to the other options.
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Willow
3 months ago
I feel like exporting logs to BigQuery could work, but setting up App Engine seems like an extra step that might not be necessary.
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Yolando
3 months ago
I'm not entirely sure, but I think using a VM with Airflow might complicate things, especially since we want managed solutions.
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Soledad
3 months ago
I remember we discussed using Stackdriver for monitoring in one of our practice sessions, so option A sounds familiar.
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Agustin
4 months ago
Option B with Airflow running on a VM could work, but it might be overkill for this use case. I'd probably go with Stackdriver as well.
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Shannan
4 months ago
Option C looks interesting, but I'm not sure if exporting logs to BigQuery and then using App Engine is the most efficient approach. Stackdriver might be simpler.
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Kimberlie
4 months ago
C) Exporting to BigQuery and using App Engine seems like a good way to leverage the platform.
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Lezlie
4 months ago
A) is the easiest way to set up alerts.
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Junita
4 months ago
A) Sounds like the easiest and most managed solution. I like it.
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Nohemi
5 months ago
B) Running Airflow on a VM? That's a lot of work when there are simpler options.
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Vince
5 months ago
I like the idea of using a managed service like Stackdriver. Option A seems like the most straightforward solution to meet the requirements.
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Louvenia
5 months ago
I'm a little confused by the question. Do we need to monitor across multiple projects? If so, option D might be better since we can use the GCP APIs to pull data from different projects.
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Brock
5 months ago
I think I'd go with option A. Stackdriver seems like the easiest way to monitor the pipelines and set up alerts.
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Sylvia
2 days ago
I agree, option A sounds straightforward.
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