Google Exam Professional Cloud Database Engineer Topic 5 Question 28 Discussion

Actual exam question for Google's Professional Cloud Database Engineer exam

Question #: 28
Topic #: 5

[All Professional Cloud Database Engineer Questions]

You want to migrate an existing on-premises application to Google Cloud. Your application supports semi-structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second from manufacturing plants. You need to make this data available for real-time monitoring and analysis. What should you do?

ADeploy the database using Cloud SQL.

BUse BigQuery, and load data in batches.

CC.Deploy the database using Bigtable.

DDeploy the database using Cloud Spanner.

Show Suggested Answer

Suggested Answer: A

https://cloud.google.com/spanner/docs/iam?hl=it

by Sheron at Mar 21, 2024, 12:25 PM

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Daniela

27 days ago

Wow, 100,000 sensors? That's a lot of data! I hope the person who has to manage that infrastructure gets paid well. Bigtable seems like the right choice to handle all that semi-structured goodness.

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Novella

27 days ago

If I had a 100,000 sensors sending data at 10 readings per second, I'd be tempted to just use a rubber band and a paper clip to collect it all. But in all seriousness, Bigtable sounds like the way to go here.

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Laquita

6 days ago

I agree, Bigtable is designed for massive scale and high throughput.

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Mozell

8 days ago

Bigtable sounds like a good option for handling that amount of data.

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Darell

29 days ago

Cloud Spanner might be overkill for this use case. I'd stick with a NoSQL solution like Bigtable to handle the high throughput and semi-structured data.

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Tina

1 months ago

I'd go with Bigtable. It's designed for handling large-scale, semi-structured data, and it can provide the real-time performance you need for monitoring.

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Ocie

1 months ago

BigQuery seems like the best option here. Dealing with semi-structured data from so many sensors and requiring real-time monitoring is a perfect use case for a data warehouse like BigQuery.

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