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Google Professional-Cloud-Developer exam is a certification exam that tests an individual's ability to develop and deploy applications on the Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification is intended for professionals who have experience in developing cloud-based applications using GCP tools and services. Professional-Cloud-Developer Exam covers topics such as GCP infrastructure, application development, debugging, testing, and deployment.

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Google Certified Professional - Cloud Developer Sample Questions (Q339-Q344):

NEW QUESTION # 339
You are defining your system tests for an application running in Cloud Run in a Google Cloud project. You need to create a testing environment that is isolated from the production environment. You want to fully automate the creation of the testing environment with the least amount of effort and execute automated tests. What should you do?

A. Using Cloud Build, execute Terraform scripts to create a new Google Cloud project and a Cloud Run instance of your application in the Google Cloud project.
B. Using Cloud Build, execute gcloud commands to deploy a new Cloud Run revision in the existing Google Cloud project. Use traffic splitting to send traffic to your test environment.
C. Using Cloud Build, execute a Terraform script to deploy a new Cloud Run revision in the existing Google Cloud project. Use traffic splitting to send traffic to your test environment.
D. Using Cloud Build, execute gcloud commands to create a new Google Cloud project and a Cloud Run instance of your application in the Google Cloud project.

Answer: A

Explanation:
https://cloud.google.com/docs/terraform/resource-management/managing-infrastructure-as-code

NEW QUESTION # 340
Your team is setting up a build pipeline for an application that will run in Google Kubernetes Engine (GKE). For security reasons, you only want images produced by the pipeline to be deployed to your GKE cluster. Which combination of Google Cloud services should you use?

A. Cloud Build. Artifact Registry and Binary Authorization
B. Google Cloud Deploy, Cloud Storage and Google Cloud Armor
C. Cloud Build, Cloud Storage, and Binary Authorization
D. Google Cloud Deploy. Artifact Registry, and Google Cloud Armor

Answer: D

NEW QUESTION # 341
Your team develops stateless services that run on Google Kubernetes Engine (GKE). You need to deploy a new service that will only be accessed by other services running in the GKE cluster.
The service will need to scale as quickly as possible to respond to changing load. What should you do?

A. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a NodePort Service.
B. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a NodePort Service.
C. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
D. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.

Answer: C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/service#services_of_type_clusterip When you create a Service of type ClusterIP, Kubernetes creates a stable IP address that is accessible from nodes in the cluster.
https://cloud.google.com/kubernetes-engine/docs/concepts/horizontalpodautoscaler The Horizontal Pod Autoscaler changes the shape of your Kubernetes workload by automatically increasing or decreasing the number of Pods in response to the workload's CPU or memory consumption, or in response to custom metrics reported from within Kubernetes or external metrics from sources outside of your cluster.

NEW QUESTION # 342
Your existing application keeps user state information in a single MySQL database. This state information is very user-specific and depends heavily on how long a user has been using an application. The MySQL database is causing challenges to maintain and enhance the schema for various users.
Which storage option should you choose?

A. Cloud Datastore/Firestore
B. Cloud Spanner
C. Cloud Storage
D. Cloud SQL

Answer: D

Explanation:
Explanation/Reference:
Reference: https://cloud.google.com/solutions/migrating-mysql-to-cloudsql-concept

NEW QUESTION # 343
You are reviewing and updating your Cloud Build steps to adhere to best practices. Currently, your build steps include:
1. Pull the source code from a source repository.
2. Build a container image
3. Upload the built image to Artifact Registry.
You need to add a step to perform a vulnerability scan of the built container image, and you want the results of the scan to be available to your deployment pipeline running in Google Cloud. You want to minimize changes that could disrupt other teams' processes. What should you do?

A. Enable Binary Authorization, and configure it to attest that no vulnerabilities exist in a container image.
B. Upload the built container images to your Docker Hub instance, and scan them for vulnerabilities.
C. Enable the Container Scanning API in Artifact Registry, and scan the built container images for vulnerabilities.
D. Add Artifact Registry to your Aqua Security instance, and scan the built container images for vulnerabilities.

Answer: C

Explanation:
https://cloud.google.com/container-analysis/docs/automated-scanning-
howto#view_the_image_vulnerabilities

NEW QUESTION # 344
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