Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Google Exam Associate Data Practitioner Topic 1 Question 4 Discussion

Actual exam question for Google's Associate Data Practitioner exam
Question #: 4
Topic #: 1
[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.


Contribute your Thoughts:

Huey
8 days ago
I'm feeling a bit like a data detective here, trying to crack the case of the best storage solution. Option B is my pick - it's the data pipeline equivalent of Sherlock Holmes solving a mystery!
upvoted 0 times
...
Maxima
9 days ago
Woah, hold on a second! Why are we even considering Bigtable? That's overkill for this use case. I'd go with option B, it's the most straightforward and efficient choice.
upvoted 0 times
...
Iesha
11 days ago
I prefer option D because using Cloud SQL for MySQL for online transactions seems more secure and reliable.
upvoted 0 times
...
Krystina
13 days ago
I disagree, I believe option B is better as BigQuery can handle large datasets more efficiently.
upvoted 0 times
...
Graciela
20 days ago
I think option A is the best choice because all data can be stored in Cloud Storage for further analysis.
upvoted 0 times
...
Alex
21 days ago
Option D looks good to me. Cloud SQL for the online transactions, BigQuery for the customer feedback, and Cloud Storage for the social media activity. Seems like a well-rounded solution.
upvoted 0 times
Louis
2 days ago
Option D looks good to me. Cloud SQL for the online transactions, BigQuery for the customer feedback, and Cloud Storage for the social media activity. Seems like a well-rounded solution.
upvoted 0 times
...
Kate
3 days ago
I agree, that combination covers all the different types of data sources effectively.
upvoted 0 times
...
Dawne
5 days ago
Option D looks good to me. Cloud SQL for the online transactions, BigQuery for the customer feedback, and Cloud Storage for the social media activity. Seems like a well-rounded solution.
upvoted 0 times
...
...
Annita
1 months ago
I think option B is the way to go. BigQuery is great for handling large datasets like online transactions and social media activity, while Cloud Storage is perfect for the customer feedback.
upvoted 0 times
Clarinda
10 days ago
Cloud Storage is reliable for storing customer feedback data.
upvoted 0 times
...
Earlean
13 days ago
I agree, BigQuery is definitely powerful for analyzing large datasets.
upvoted 0 times
...
...

Save Cancel