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Google Associate Data Practitioner Exam - Topic 3 Question 21 Discussion

Your retail company collects customer data from various sources:You are designing a data pipeline to extract this data. Which Google Cloud storage system(s) should you select for further analysis and ML model training?
B) 1. Online transactions: BigQuery 2. Customer feedback: Cloud Storage 3. Social media activity: BigQuery
A) 1. Online transactions: Cloud Storage 2. Customer feedback: Cloud Storage 3. Social media activity: Cloud Storage
C) 1. Online transactions: Bigtable 2. Customer feedback: Cloud Storage 3. Social media activity: CloudSQL for MySQL
D) 1. Online transactions: Cloud SQL for MySQL 2. Customer feedback: BigQuery 3. Social media activity: Cloud Storage

Google Associate Data Practitioner Exam - Topic 3 Question 21 Discussion

Actual exam question for Google's Associate Data Practitioner exam
Question #: 21
Topic #: 3
[All Associate Data Practitioner Questions]

Your retail company collects customer data from various sources:

You are designing a data pipeline to extract this dat

a. Which Google Cloud storage system(s) should you select for further analysis and ML model training?

Show Suggested Answer Hide Answer
Suggested Answer: B

Online transactions: Storing the transactional data in BigQuery is ideal because BigQuery is a serverless data warehouse optimized for querying and analyzing structured data at scale. It supports SQL queries and is suitable for structured transactional data.

Customer feedback: Storing customer feedback in Cloud Storage is appropriate as it allows you to store unstructured text files reliably and at a low cost. Cloud Storage also integrates well with data processing and ML tools for further analysis.

Social media activity: Storing real-time social media activity in BigQuery is optimal because BigQuery supports streaming inserts, enabling real-time ingestion and analysis of data. This allows immediate analysis and integration into dashboards or ML pipelines.


by Erasmo at Mar 05, 2026, 02:35 AM

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Lino
26 minutes ago
D has potential. Combining BigQuery and Cloud SQL could work well.
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Leigha
5 days ago
Option A is solid too. Simple and effective with Cloud Storage.
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Jeannetta
10 days ago
I agree, B makes sense. Fast analysis for transactions!
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Youlanda
16 days ago
I think option B is the best. BigQuery is great for large datasets.
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Casandra
21 days ago
Not sure if Cloud Storage is enough for all that data.
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Claudio
26 days ago
Totally agree, B is the way to go!
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Sena
2 months ago
Wait, why would you use CloudSQL for social media? Seems odd.
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Verdell
3 months ago
BigQuery is definitely better for large datasets!
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Willie
3 months ago
I think option B makes the most sense for analysis.
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Shasta
3 months ago
Not sure if Bigtable is the right choice for this scenario.
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Willow
3 months ago
Cloud Storage is solid for customer feedback, no doubt!
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Evangelina
3 months ago
Wait, why would you use Cloud SQL for online transactions?
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Ruth
3 months ago
Definitely agree, BigQuery is great for large datasets!
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Tayna
4 months ago
I think option B makes the most sense for analysis.
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Sylvie
4 months ago
I feel like Cloud SQL could work for online transactions, but I’m not confident if it’s the right choice compared to BigQuery.
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Gerald
4 months ago
I practiced a similar question where we had to choose between Cloud SQL and BigQuery for transaction data. I think BigQuery might be more efficient.
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Laurene
4 months ago
I'm not sure if Cloud Storage is the best choice for customer feedback; I think it might be better suited for structured data.
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Julio
4 months ago
I remember we discussed how BigQuery is great for analyzing large datasets, especially for online transactions.
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