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Google Associate Data Practitioner Exam - Topic 3 Question 16 Discussion

Your organization has decided to migrate their existing enterprise data warehouse to BigQuery. The existing data pipeline tools already support connectors to BigQuery. You need to identify a data migration approach that optimizes migration speed. What should you do?
C) Use the existing data pipeline tool's BigQuery connector to reconfigure the data mapping.
A) Create a temporary file system to facilitate data transfer from the existing environment to Cloud Storage. Use Storage Transfer Service to migrate the data into BigQuery.
B) Use the Cloud Data Fusion web interface to build data pipelines. Create a directed acyclic graph (DAG) that facilitates pipeline orchestration.
D) Use the BigQuery Data Transfer Service to recreate the data pipeline and migrate the data into BigQuery.

Google Associate Data Practitioner Exam - Topic 3 Question 16 Discussion

Actual exam question for Google's Associate Data Practitioner exam
Question #: 16
Topic #: 3
[All Associate Data Practitioner Questions]

Your organization has decided to migrate their existing enterprise data warehouse to BigQuery. The existing data pipeline tools already support connectors to BigQuery. You need to identify a data migration approach that optimizes migration speed. What should you do?

Show Suggested Answer Hide Answer
Suggested Answer: C

Since your existing data pipeline tools already support connectors to BigQuery, the most efficient approach is to use the existing data pipeline tool's BigQuery connector to reconfigure the data mapping. This leverages your current tools, reducing migration complexity and setup time, while optimizing migration speed. By reconfiguring the data mapping within the existing pipeline, you can seamlessly direct the data into BigQuery without needing additional services or intermediary steps.


by Dean at Aug 17, 2025, 07:37 PM

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Tonja
8 months ago
Wait, can we really just reconfigure the existing connector? Sounds too easy!
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Felicia
8 months ago
D seems like a solid choice for a clean transfer.
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Carey
8 months ago
Not so sure about C, what if the mapping is complex?
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Tawna
9 months ago
Definitely agree with C, makes the most sense!
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Casie
9 months ago
I think option C is the fastest since it uses existing tools.
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Irving
10 months ago
I vaguely recall that using Cloud Data Fusion could help with orchestration, but I wonder if it really speeds up the migration process as much as the others.
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Jose
10 months ago
I practiced a similar question where we had to choose between using Cloud Storage and direct connectors. I feel like option A might be too slow.
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Billy
10 months ago
I think the BigQuery Data Transfer Service might be the best choice for optimizing speed, but I need to double-check how it compares to other methods.
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Joanna
10 months ago
I remember that using the existing data pipeline tool's BigQuery connector could be efficient, but I'm not sure if it's the fastest option.
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Lacresha
11 months ago
I'm not entirely sure which option is the best here. They all seem to have their pros and cons. I might need to do some more research on the different tools and services mentioned to determine the most efficient approach for our specific use case.
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Julie
11 months ago
I feel pretty confident about this one. The key is to optimize for migration speed, so I think option A with the Storage Transfer Service is the way to go. Creating a temporary file system and using that to migrate the data should be the fastest approach.
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Una
11 months ago
Hmm, I'm a bit confused by the different options here. I'm not sure if using a temporary file system or the Cloud Data Fusion tool would be the most efficient approach. Maybe I should look into the BigQuery Data Transfer Service option more closely.
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Lamonica
11 months ago
This seems like a straightforward data migration question. I think I'll go with option C and use the existing data pipeline tool's BigQuery connector to reconfigure the data mapping. That should be the fastest approach.
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Jamal
12 months ago
I'm leaning towards Option D. The BigQuery Data Transfer Service sounds like the most straightforward approach to migrate the data. Less hassle, more speed.
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Beckie
12 months ago
Option C is the way to go. Why complicate things when we can just use the existing data pipeline tool's BigQuery connector? Boom, done!
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Aleta
8 months ago
Plus, it saves time. No need for extra steps.
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Bo
9 months ago
Exactly! The existing tools are already set up.
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Rebecka
9 months ago
I agree, option C seems the simplest. Why reinvent the wheel?
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Bettina
9 months ago
Right! Let's keep it efficient and straightforward.
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Aleta
12 months ago
I prefer option D, using BigQuery Data Transfer Service seems like a more efficient way to migrate the data.
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Toshia
12 months ago
I agree with Veronique, using Storage Transfer Service can help speed up the process.
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Veronique
1 year ago
I think option A sounds like a good approach for optimizing migration speed.
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