Google Exam Professional Cloud Developer Topic 8 Question 90 Discussion

Actual exam question for Google's Professional Cloud Developer exam

Question #: 90
Topic #: 8

[All Professional Cloud Developer Questions]

For this question refer to the HipLocal case study.

HipLocal wants to reduce the latency of their services for users in global locations. They have created read replicas of their database in locations where their users reside and configured their service to read traffic using those replicas. How should they further reduce latency for all database interactions with the least amount of effort?

AMigrate the database to Bigtable and use it to serve all global user traffic.

BMigrate the database to Cloud Spanner and use it to serve all global user traffic.

CMigrate the database to Firestore in Datastore mode and use it to serve all global user traffic.

DMigrate the services to Google Kubernetes Engine and use a load balancer service to better scale the application.

Show Suggested Answer

Suggested Answer: C

by Annita at Aug 28, 2024, 03:34 AM

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Terina

1 months ago

I'm all about that Kubernetes life, but for this scenario, I think Cloud Spanner is the way to go. Managed databases are the future, my friends. Now, if only they had a 'Ludicrous Speed' option...

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Aleisha

5 days ago

I agree, Cloud Spanner seems like the best option for reducing latency.

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Jamal

9 days ago

C) Migrate the database to Firestore in Datastore mode and use it to serve all global user traffic.

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Oretha

11 days ago

B) Migrate the database to Cloud Spanner and use it to serve all global user traffic.

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Louann

13 days ago

A) Migrate the database to Bigtable and use it to serve all global user traffic.

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Regenia

1 months ago

Cloud Spanner all the way! I heard it's like the Ferrari of databases - fast, reliable, and perfect for global businesses. Although, I'd love to see a 'Turbo' mode that could really boost those latency numbers.

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Cruz

2 months ago

Hmm, I'm leaning towards the Cloud Spanner option too. It's designed for global-scale applications, so it should be a great fit for HipLocal's needs. Plus, it's a managed service, which means less overhead for them.

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Magnolia

10 days ago

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Thurman

11 days ago

B) Migrate the database to Cloud Spanner and use it to serve all global user traffic.

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Felicidad

24 days ago

A) Migrate the database to Bigtable and use it to serve all global user traffic.

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Kina

2 months ago

I'm not sure about Bigtable or Firestore for this use case. They're more for non-relational data, right? I think the Kubernetes Engine option could work, but it might be overkill for just improving database latency.

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Glory

13 days ago

I think the Kubernetes Engine option could work, but it might be overkill for just improving database latency.

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Jeffrey

18 days ago

D) Migrate the services to Google Kubernetes Engine and use a load balancer service to better scale the application.

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Jolanda

1 months ago

I'm not sure about Bigtable or Firestore for this use case. They're more for non-relational data, right?

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King

1 months ago

C) Migrate the database to Firestore in Datastore mode and use it to serve all global user traffic.

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Shenika

1 months ago

B) Migrate the database to Cloud Spanner and use it to serve all global user traffic.

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Eve

1 months ago

A) Migrate the database to Bigtable and use it to serve all global user traffic.

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Paris

2 months ago

Cloud Spanner seems like the best choice here. It's a fully managed relational database service with built-in global replication and low latency. Definitely worth considering.

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