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Google Exam Professional Cloud Database Engineer Topic 4 Question 29 Discussion

Actual exam question for Google's Professional Cloud Database Engineer exam
Question #: 29
Topic #: 4
[All Professional Cloud Database Engineer Questions]

You are building a data warehouse on BigQuery. Sources of data include several MySQL databases located on-premises.

You need to transfer data from these databases into BigQuery for analytics. You want to use a managed solution that has low latency and is easy to set up. What should you do?

A. Create extracts from your on-premises databases periodically, and push these extracts to Cloud Storage. Upload the changes into BigQuery, and merge them with existing tables.

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Suggested Answer: C

by Kristel at Apr 10, 2024, 03:20 PM

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Ricki
7 months ago
But wouldn't using Cloud Data Fusion in option B provide a more straightforward way to extract and load data into BigQuery?
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Annmarie
7 months ago
I'm leaning towards option D. Replicating data to Cloud SQL for MySQL and creating federated tables in BigQuery sounds like a robust solution.
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Mary
7 months ago
I prefer option C. Using Datastream to create a stream and then processing data with Dataflow seems like a solid approach.
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Ricki
8 months ago
I think option A might be a good choice. Creating extracts and pushing them to Cloud Storage sounds efficient.
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Herminia
8 months ago
I see the appeal of option D as well. Using Database Migration Service can simplify the process.
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Omega
8 months ago
Interesting point, I can see the benefits of real-time data transfer.
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Kaycee
8 months ago
I personally would go with option C. It provides real-time data transfer and processing.
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Herminia
8 months ago
I disagree, option B using Cloud Data Fusion seems more robust and scalable.
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Omega
9 months ago
I think option A is a good choice. It's simple and efficient.
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Marguerita
8 months ago
I prefer option D because it involves replication and federated tables for easier transformation.
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Regenia
8 months ago
I see the benefit of using Datastream and Dataflow in option C for real-time data processing.
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Arthur
8 months ago
I think option B would be a better choice as it involves transforming the data into the appropriate schema.
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Alease
8 months ago
I agree, using extracts and Cloud Storage seems like a straightforward approach.
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Darrel
9 months ago
Option B with Cloud Data Fusion also sounds promising. The ability to transform the data as part of the loading process could be really useful. Plus, it's a managed service, so that could make it easier to set up.
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Aleisha
9 months ago
Hmm, I don't know. Replicating the data to Cloud SQL and then using federated tables in BigQuery sounds a bit convoluted to me. Plus, I'm not a big fan of vendor-specific solutions.
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Veronika
9 months ago
Hmm, I'm leaning towards option C with Datastream and Dataflow. That seems like a good way to get the data from the on-premises MySQL databases into BigQuery with low latency and minimal setup.
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Hassie
9 months ago
No kidding! This is like a job interview disguised as an exam question. But I'm kind of enjoying the challenge, to be honest.
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Malcom
9 months ago
Hey, that's a good point. Option C with Datastream and Dataflow might be a better bet. It seems a bit more flexible, and you can probably tweak the transformation process.
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Javier
9 months ago
Option B does seem like the easiest to set up, but I'm a little worried about the data transformation part. What if the schema isn't a perfect match?
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Rikki
9 months ago
Haha, you guys are really digging into this. I feel like we should be getting paid for this level of analysis!
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Audra
9 months ago
Haha, good luck with that! These days, everything has to be a managed solution with low latency and easy setup. I'm leaning towards option B - Cloud Data Fusion sounds pretty slick.
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Kate
10 months ago
Yeah, I hear you. I was hoping for something a little more straightforward, you know? Maybe we could just export the data to a CSV and upload it to BigQuery.
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Millie
9 months ago
Yeah, I hear you. I was hoping for something a little more straightforward, you know? Maybe we could just export the data to a CSV and upload it to BigQuery.
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Sherell
9 months ago
C. Use Datastream to connect to your on-premises database and create a stream. Have Datastream write to Cloud Storage. Then use Dataflow to process the data into BigQuery.
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Eric
9 months ago
B. Use Cloud Data Fusion and scheduled workflows to extract data from MySQL. Transform this data into the appropriate schema, and load this data into your BigQuery database.
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Vicente
9 months ago
A. Create extracts from your on-premises databases periodically, and push these extracts to Cloud Storage. Upload the changes into BigQuery, and merge them with existing tables.
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Alana
10 months ago
Whoa, this is a tough one! I'm not sure I'm comfortable with any of these options. They all seem a bit complex for my liking.
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