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Google Certified Professional - Cloud Developer

Last Update Nov 21, 2024
Total Questions : 265 With Comprehensive Analysis

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Total Questions : 265 With Comprehensive Analysis

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Google Certified Professional - Cloud Developer Questions and Answers

Questions 1

For this question, refer to the HipLocal case study.

How should HipLocal redesign their architecture to ensure that the application scales to support a large increase in users?

Options:

A.

Use Google Kubernetes Engine (GKE) to run the application as a microservice. Run the MySQL database on a dedicated GKE node.

B.

Use multiple Compute Engine instances to run MySQL to store state information. Use a Google Cloud-managed load balancer to distribute the load between instances. Use managed instance groups for scaling.

C.

Use Memorystore to store session information and CloudSQL to store state information. Use a Google Cloud-managed load balancer to distribute the load between instances. Use managed instance groups for scaling.

D.

Use a Cloud Storage bucket to serve the application as a static website, and use another Cloud Storage bucket to store user state information.

Questions 2

In order to meet their business requirements, how should HipLocal store their application state?

Options:

A.

Use local SSDs to store state.

B.

Put a memcache layer in front of MySQL.

C.

Move the state storage to Cloud Spanner.

D.

Replace the MySQL instance with Cloud SQL.

Questions 3

HipLocal wants to improve the resilience of their MySQL deployment, while also meeting their business and technical requirements.

Which configuration should they choose?

Options:

A.

Use the current single instance MySQL on Compute Engine and several read-only MySQL servers on

Compute Engine.

B.

Use the current single instance MySQL on Compute Engine, and replicate the data to Cloud SQL in an

external master configuration.

C.

Replace the current single instance MySQL instance with Cloud SQL, and configure high availability.

D.

Replace the current single instance MySQL instance with Cloud SQL, and Google provides redundancy

without further configuration.

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