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Professional-Cloud-Developer Exam Dumps : Google Certified Professional - Cloud Developer

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Google Certified Professional - Cloud Developer Questions and Answers

Question 1

You are developing a marquee stateless web application that will run on Google Cloud. The rate of the incoming user traffic is expected to be unpredictable, with no traffic on some days and large spikes on other days. You need the application to automatically scale up and down, and you need to minimize the cost associated with running the application. What should you do?

Options:

A.

Build the application in Python with Firestore as the database. Deploy the application to Cloud Run.

B.

Build the application in C# with Firestore as the database. Deploy the application to App Engine flexible environment.

C.

Build the application in Python with CloudSQL as the database. Deploy the application to App Engine standard environment.

D.

Build the application in Python with Firestore as the database. Deploy the application to a Compute Engine managed instance group with autoscaling.

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Question 2

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:

A.

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

B.

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

C.

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

D.

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

Question 3

You have an application running in a production Google Kubernetes Engine (GKE) cluster. You use Cloud Deploy to automatically deploy your application to your production GKE cluster. As part of your development process: you are planning to make frequent changes to the applications source code and need to select the tools to test the changes before pushing them to your remote source code repository. Your toolset must meet the following requirements:

• Test frequent local changes automatically.

• Local deployment emulates production deployment.

Which tools should you use to test building and running a container on your laptop using minimal resources'?

Options:

A.

Terraform and kubeadm

B.

Docker Compose and dockerd

C.

Minikube and Skaffold

D.

kaniko and Tekton