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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Building and testing applications	- Application development on Google Cloud - Debugging and troubleshooting applications - Unit and integration testing strategies
Topic 2: Integrating Google Cloud services	- API integration and service-to-service communication - Using managed services (Pub/Sub, Firestore, Cloud SQL)
Topic 3: Designing cloud-native applications	- Microservices design principles - Scalability and resiliency patterns - Application architecture design
Topic 4: Deploying applications	- Containerization and deployment (Cloud Run, GKE) - Release management strategies - CI/CD pipelines
Topic 5: Ensuring application performance and reliability	- Fault tolerance and incident response - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Performance optimization

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Google Certified Professional - Cloud Developer Sample Questions (Q184-Q189):

NEW QUESTION # 184
Your application is deployed in a Google Kubernetes Engine (GKE) cluster. When a new version of your application is released, your CI/CD tool updates the spec.template.spec.containers[0].image value to reference the Docker image of your new application version. When the Deployment object applies the change, you want to deploy at least
1 replica of the new version and maintain the previous replicas until the new replica is healthy.
Which change should you make to the GKE Deployment object shown below?

A. Set the Deployment strategy to Recreate with maxSurge set to 0, maxUnavailable set to 1.
B. Set the Deployment strategy to RollingUpdate with maxSurge set to 0, maxUnavailable set to 1.
C. Set the Deployment strategy to RollingUpdate with maxSurge set to 1, maxUnavailable set to 0.
D. Set the Deployment strategy to Recreate with maxSurge set to 1, maxUnavailable set to 0.

Answer: C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-upgrades The simplest way to take advantage of surge upgrade is to configure maxSurge=1 maxUnavailable=0. This means that only 1 surge node can be added to the node pool during an upgrade so only 1 node will be upgraded at a time. This setting is superior to the existing upgrade configuration (maxSurge=0 maxUnavailable=1) because it speeds up Pod restarts during upgrades while progressing conservatively.

NEW QUESTION # 185
You are in the final stage of migrating an on-premises data center to Google Cloud. You are quickly approaching your deadline, and discover that a web API is running on a server slated for decommissioning. You need to recommend a solution to modernize this API while migrating to Google Cloud. The modernized web API must meet the following requirements:
- Autoscales during high traffic periods at the end of each month
- Written in Python 3.x
- Developers must be able to rapidly deploy new versions in response to frequent code changes You want to minimize cost, effort, and operational overhead of this migration. What should you do?

A. Modernize and deploy the code on App Engine standard environment.
B. Modernize and deploy the code on App Engine flexible environment.
C. Ask the development team to re-write the application to run as a Docker container on Google Kubernetes Engine.
D. Deploy the modernized application to an n1-standard-1 Compute Engine instance.

Answer: A

Explanation:
https://cloud.google.com/appengine/docs/standard

NEW QUESTION # 186
You have containerized a legacy application that stores its configuration on an NFS share. You need to deploy this application to Google Kubernetes Engine (GKE) and do not want the application serving traffic until after the configuration has been retrieved. What should you do?

A. Add a startup script to the GKE instance group to mount the NFS share at node startup. Copy the configuration files into the container, and start the service using an ENTRYPOINT script.
B. Use the gsutil utility to copy files from within the Docker container at startup, and start the service using an ENTRYPOINT script.
C. Use the COPY statement in the Dockerfile to load the configuration into the container image.
Verify that the configuration is available, and start the service using an ENTRYPOINT script.
D. Create a PersistentVolumeClaim on the GKE cluster. Access the configuration files from the volume, and start the service using an ENTRYPOINT script.

Answer: D

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/persistent-volumes

NEW QUESTION # 187
You are planning to migrate a MySQL database to the managed Cloud SQL database for Google Cloud. You have Compute Engine virtual machine instances that will connect with this Cloud SQL instance. You do not want to whitelist IPs for the Compute Engine instances to be able to access Cloud SQL.
What should you do?

A. Create a CloudSQL instance on one project. Create Compute engine instances in a different project.
Create a VPN between these two projects to allow internal access to CloudSQL.
B. Create a role in Cloud SQL that allows access to the database from external instances, and assign the Compute Engine instances to that role.
C. Enable private IP for the Cloud SQL instance.
D. Whitelist a project to access Cloud SQL, and add Compute Engine instances in the whitelisted project.

Answer: B

Explanation:
Reference: https://cloud.google.com/sql/docs/mysql/connect-external-app

NEW QUESTION # 188
You are building a CI/CD pipeline that consists of a version control system, Cloud Build, and Container Registry. Each time a new tag is pushed to the repository, a Cloud Build job is triggered, which runs unit tests on the new code builds a new Docker container image, and pushes it into Container Registry. The last step of your pipeline should deploy the new container to your production Google Kubernetes Engine (GKE) cluster. You need to select a tool and deployment strategy that meets the following requirements:
* Zero downtime is incurred
* Testing is fully automated
* Allows for testing before being rolled out to users
* Can quickly rollback if needed
What should you do?

A. Trigger a Spinnaker pipeline configured as an A/B test of your new code and, if it is successful, deploy the container to production.
B. Trigger a Spinnaker pipeline configured as a canary test of your new code and, if it is successful, deploy the container to production.
C. Trigger another Cloud Build job that uses the Kubernetes CLI tools to deploy your new container to your GKE cluster, where you can perform a shadow test.
D. Trigger another Cloud Build job that uses the Kubernetes CLI tools to deploy your new container to your GKE cluster, where you can perform a canary test.

Answer: C

Explanation:
https://cloud.google.com/architecture/implementing-deployment-and-testing-strategies-on-gke#perform_a_shadow_test With a shadow test, you test the new version of your application by mirroring user traffic from the current application version without impacting the user requests.

NEW QUESTION # 189
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