Google marks4sure cloud Developer Professional-cloud-developer Book by Nikola q159 vce pdf

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Exam Name:	Google Certified Professional - Cloud Developer
Exam Code:	Professional-Cloud-Developer Dumps
Vendor:	Google	Certification:	Cloud Developer
Questions:	265 Q&A's	Shared By:	nikola

Question 44

For this question, refer to the HipLocal case study.

How should HipLocal increase their API development speed while continuing to provide the QA team with a stable testing environment that meets feature requirements?

Options:

Include unit tests in their code, and prevent deployments to QA until all tests have a passing status.

Include performance tests in their code, and prevent deployments to QA until all tests have a passing status.

Create health checks for the QA environment, and redeploy the APIs at a later time if the environment is unhealthy.

Redeploy the APIs to App Engine using Traffic Splitting. Do not move QA traffic to the new versions if errors are found.

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Question 45

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:

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

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.

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.

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

Discussion

Question 46

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

Which configuration should they choose?

Options:

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

Compute Engine.

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

external master configuration.

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

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