Exam Professional Cloud Developer topic 1 question 272 discussion

Actual exam question from Google's Professional Cloud Developer

Question #: 272
Topic #: 1

[All Professional Cloud Developer Questions]

You are a developer at a social media company. The company runs their social media website on-premises and uses MySQL as a backend to store user profiles and user posts. Your company plans to migrate to Google Cloud, and your learn will migrate user profile information to Firestore. You are tasked with designing the Firestore collections. What should you do?

A. Create one root collection for user profiles, and create one root collection for user posts.
B. Create one root collection for user profiles, and create one subcollection for each user's posts.
C. Create one root collection for user profiles, and store each user's post as a nested list in the user profile document.
D. Create one root collection for user posts, and create one subcollection for each user's profile.

Show Suggested Answer

Suggested Answer: B 🗳️

by kapara at Dec. 11, 2023, 7:24 a.m.

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alpha_canary

8 months, 1 week ago

Selected Answer: B

B: The best practice for this scenario would be to create one root collection for user profiles and one subcollection for each user's posts. This allows for easy retrieval of all posts for a given user and aligns well with the hierarchical data model of Firestore. It also provides good isolation of data as each user's posts are stored separately.

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JonathanSJ

10 months, 2 weeks ago

Selected Answer: B

I will go for B.

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Kadhem

11 months, 3 weeks ago

Selected Answer: B

B is more appropriate

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kapara

1 year ago

Selected Answer: B

For migrating user profile information to Firestore in your social media company, the best approach is: B. Create one root collection for user profiles, and create one subcollection for each user's posts. This structure offers better scalability, efficient data retrieval, and clearer organization, while also simplifying access control and data modeling. Options A, C, and D are less optimal due to potential performance issues, complex querying, and counterintuitive data relationships.

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