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Google Professional Data Engineer Exam - Topic 6 Question 51 Discussion

You have developed three data processing jobs. One executes a Cloud Dataflow pipeline that transforms data uploaded to Cloud Storage and writes results to BigQuery. The second ingests data from on-premises servers and uploads it to Cloud Storage. The third is a Cloud Dataflow pipeline that gets information from third-party data providers and uploads the information to Cloud Storage. You need to be able to schedule and monitor the execution of these three workflows and manually execute them when needed. What should you do?
D) Set up cron jobs in a Compute Engine instance to schedule and monitor the pipelines using GCP API calls.
A) Create a Direct Acyclic Graph in Cloud Composer to schedule and monitor the jobs.
B) Use Stackdriver Monitoring and set up an alert with a Webhook notification to trigger the jobs.
C) Develop an App Engine application to schedule and request the status of the jobs using GCP API calls.

Google Professional Data Engineer Exam - Topic 6 Question 51 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 51
Topic #: 6
[All Professional Data Engineer Questions]

You have developed three data processing jobs. One executes a Cloud Dataflow pipeline that transforms data uploaded to Cloud Storage and writes results to BigQuery. The second ingests data from on-premises servers and uploads it to Cloud Storage. The third is a Cloud Dataflow pipeline that gets information from third-party data providers and uploads the information to Cloud Storage. You need to be able to schedule and monitor the execution of these three workflows and manually execute them when needed. What should you do?

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Suggested Answer: D

by Sage at May 05, 2022, 03:35 PM

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Selma
10 months ago
I didn't know you could use Cloud Composer like that!
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Willow
10 months ago
Wait, D? Using Compute Engine for this feels outdated!
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Ruthann
11 months ago
C sounds complicated, why not keep it simple?
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Mariann
11 months ago
I disagree, B seems more efficient with alerts.
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Keva
11 months ago
A is definitely the way to go for scheduling and monitoring!
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Miss
11 months ago
I think cron jobs in Compute Engine could work, but it feels a bit outdated compared to using Cloud Composer. I'm leaning towards option A.
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Mabel
11 months ago
I practiced a similar question where we had to use GCP APIs for job management, but I can't recall if App Engine is the best way to go. Option C seems plausible.
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Jovita
11 months ago
I'm not entirely sure, but I feel like Stackdriver Monitoring is more about monitoring rather than scheduling, so maybe option B isn't the best fit.
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Dick
11 months ago
I remember studying about Cloud Composer and how it can manage workflows with DAGs, so I think option A might be the right choice.
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Jaime
11 months ago
I'm a bit confused by the wording of the question. Let me re-read the options carefully and think through the concepts before selecting an answer.
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Claribel
11 months ago
Hmm, I'm not sure about this one. The Engagement Split or Wait Until Event activities could also work, but I'm not confident which one would be the most appropriate.
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Novella
11 months ago
Hmm, I'm a bit unsure about this one. The options seem pretty similar, and I'm not totally confident in my understanding of aggregate supply. I'll have to think this through carefully.
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Gary
11 months ago
I remember something about transaction volumes, but I'm tempted to choose option D as well. It seems like the most logical answer.
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