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Google Professional Data Engineer Exam - Topic 4 Question 43 Discussion

You are building a new data pipeline to share data between two different types of applications: jobs generators and job runners. Your solution must scale to accommodate increases in usage and must accommodate the addition of new applications without negatively affecting the performance of existing ones. What should you do?
A) Create an API using App Engine to receive and send messages to the applications
B) Use a Cloud Pub/Sub topic to publish jobs, and use subscriptions to execute them
C) Create a table on Cloud SQL, and insert and delete rows with the job information
D) Create a table on Cloud Spanner, and insert and delete rows with the job information

Google Professional Data Engineer Exam - Topic 4 Question 43 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 43
Topic #: 4
[All Professional Data Engineer Questions]

You are building a new data pipeline to share data between two different types of applications: jobs generators and job runners. Your solution must scale to accommodate increases in usage and must accommodate the addition of new applications without negatively affecting the performance of existing ones. What should you do?

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Suggested Answer: A

by Judy at May 04, 2022, 04:50 AM

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Kenny
10 months ago
Wait, can Cloud Spanner handle that much data?
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Vivan
10 months ago
D sounds interesting, but is it really necessary?
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Louvenia
11 months ago
C seems too limiting for future growth.
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Luz
11 months ago
I think A could work too, but not as efficiently.
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Markus
11 months ago
B is definitely the way to go for scalability!
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Clarence
11 months ago
I vaguely recall that using Cloud Pub/Sub helps with asynchronous processing, which seems crucial for job runners, but I can't remember all the details.
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Odette
11 months ago
I practiced a similar question where we had to choose between SQL and NoSQL options, and I feel like Cloud Spanner could be a good fit for scalability, but I'm not entirely confident.
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Alison
11 months ago
I think Cloud Pub/Sub might be the right choice here since it allows for decoupling and can handle increased loads, but I need to double-check the specifics.
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Freeman
11 months ago
I remember we discussed the importance of scalability in data pipelines, but I'm not sure if using an API is the best approach for this scenario.
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Yolando
11 months ago
This seems like a tricky situation. I'll need to carefully review the Scrum principles and processes to determine the best approach.
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Stephaine
11 months ago
Option C seems like the way to go. Casting the objects to sObject and using sObject.get('Name') is a simple and straightforward solution that should work for any object type.
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