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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Deploy applications	- Deploy applications to Google Cloud 1. Manage application rollout strategies 2. Deploy applications to Google Kubernetes Engine 3. Deploy applications using Cloud Run
Build and test applications	- Manage development environments 1. Implement CI/CD pipelines 2. Build application artifacts 3. Perform application testing
Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Design resilient and scalable application architectures 2. Design secure applications 3. Choose storage options for application data
Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Implement authentication and authorization 2. Use messaging and event-driven services 3. Integrate with Google Cloud APIs
Manage application performance monitoring	- Monitor and troubleshoot applications 1. Optimize application performance 2. Analyze metrics and alerts 3. Configure logging and tracing

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Google Certified Professional - Cloud Developer Sample Questions (Q231-Q236):

NEW QUESTION # 231
You are planning to deploy your application in a Google Kubernetes Engine (GKE) cluster. Your application can scale horizontally, and each instance of your application needs to have a stable network identity and its own persistent disk.
Which GKE object should you use?

A. ReplicaSet
B. ReplicaController
C. Deployment
D. StatefulSet

Answer: D

Explanation:
Reference:
https://livebook.manning.com/book/kubernetes-in-action/chapter-10/46

NEW QUESTION # 232
Your company stores their source code in a Cloud Source Repositories repository. Your company wants to build and test their code on each source code commit to the repository and requires a solution that is managed and has minimal operations overhead.
Which method should they use?

A. Use a Compute Engine virtual machine instance with an open source continuous integration tool, configured to watch for source code commits.
B. Use Jenkins deployed via the Google Cloud Platform Marketplace, configured to watch for source code commits.
C. Use Cloud Build with a trigger configured for each source code commit.
D. Use a source code commit trigger to push a message to a Cloud Pub/Sub topic that triggers an App Engine service to build the source code.

Answer: C

NEW QUESTION # 233
Your company just experienced a Google Kubernetes Engine (GKE) API outage due to a zone failure. You want to deploy a highly available GKE architecture that minimizes service interruption to users in the event of a future zone failure. What should you do?

A. Deploy Multi-Zone clusters
B. Deploy GKE on-premises clusters
C. Deploy Zonal clusters
D. Deploy Regional clusters

Answer: D

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/types-of-clusters#regional_clusters A regional cluster has multiple replicas of the control plane, running in multiple zones within a given region.
Nodes in a regional cluster can run in multiple zones or a single zone depending on the configured node locations. By default, GKE replicates each node pool across three zones of the control plane's region. When you create a cluster or when you add a new node pool, you can change the default configuration by specifying the zone(s) in which the cluster's nodes run. All zones must be within the same region as the control plane.

NEW QUESTION # 234
Your application is running in multiple Google Kubernetes Engine clusters. It is managed by a Deployment in each cluster. The Deployment has created multiple replicas of your Pod in each cluster. You want to view the logs sent to stdout for all of the replicas in your Deployment in all clusters. Which command should you use?

A. kubectl exec -it [PARAM] journalctl
B. gcloud compute ssh [PARAM] --command= "sudo journalctl"
C. kubectl logs [PARAM]
D. gcloud logging read [PARAM]

Answer: B

NEW QUESTION # 235
Your team is developing a new application using a PostgreSQL database and Cloud Run. You are responsible for ensuring that all traffic is kept private on Google Cloud. You want to use managed services and follow Google-recommended best practices. What should you do?

A. 1. Install PostgreSQL on a Compute Engine virtual machine (VM), and enable Cloud Run in the same project.
2. Configure a private IP address for the VM. Enable private services access.
3. Create a Serverless VPC Access connector.
4. Configure Cloud Run to use the connector to connect to the VM hosting PostgreSQL.
B. 1. Use Cloud SQL and Cloud Run in different projects.
2. Configure a private IP address for Cloud SQL. Enable private services access.
3. Create a Serverless VPC Access connector.
4. Set up a VPN connection between the two projects. Configure Cloud Run to use the connector to connect to Cloud SQL.
C. 1. Enable Cloud SQL and Cloud Run in the same project.
2. Configure a private IP address for Cloud SQL. Enable private services access.
3. Create a Serverless VPC Access connector.
4. Configure Cloud Run to use the connector to connect to Cloud SQL.
D. 1. Install PostgreSQL on a Compute Engine VM, and enable Cloud Run in different projects.
2. Configure a private IP address for the VM. Enable private services access.
3. Create a Serverless VPC Access connector.
4. Set up a VPN connection between the two projects. Configure Cloud Run to use the connector to access the VM hosting PostgreSQL

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/connect-run#private-ip

NEW QUESTION # 236
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