Most Recent Google Professional-Cloud-Developer Exam Dumps

Prepare for the Google Professional Cloud Developer exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Google Professional-Cloud-Developer exam and achieve success.

The questions for Professional-Cloud-Developer were last updated on Mar 27, 2025.

Viewing page 1 out of 53 pages.
Viewing questions 1-5 out of 265 questions

Get All 265 Questions & Answers

Question No. 1

You have an application deployed in production. When a new version is deployed, some issues don't arise until the application receives traffic from users in production. You want to reduce both the impact and the number of users affected.

Which deployment strategy should you use?

ABlue/green deployment

BCanary deployment

CRolling deployment

DRecreate deployment

Show Answer

Correct Answer: A

Question No. 2

Your company's product team has a new requirement based on customer demand to autoscale your stateless and distributed service running in a Google Kubernetes Engine (GKE) duster. You want to find a solution that minimizes changes because this feature will go live in two weeks. What should you do?

ADeploy a Vertical Pod Autoscaler, and scale based on the CPU load.

BDeploy a Vertical Pod Autoscaler, and scale based on a custom metric.

CDeploy a Horizontal Pod Autoscaler, and scale based on the CPU toad.

DDeploy a Horizontal Pod Autoscaler, and scale based on a custom metric.

Show Answer

Correct Answer: C

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.

Question No. 3

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?

ACloud SQL

BCloud Storage

CCloud Spanner

DCloud Datastore/Firestore

Show Answer

Correct Answer: A

Question No. 4

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?

A1. 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.

B1. 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.

C1. 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.

D1. 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

Show Answer

Correct Answer: A

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

Question No. 5

You are developing a microservice-based application that will run on Google Kubernetes Engine (GKE). Some of the services need to access different Google Cloud APIs. How should you set up authentication of these services in the cluster following Google-recommended best practices? (Choose two.)

AUse the service account attached to the GKE node.

BEnable Workload Identity in the cluster via the gcloud command-line tool.

CAccess the Google service account keys from a secret management service.

DStore the Google service account keys in a central secret management service.

EUse gcloud to bind the Kubernetes service account and the Google service account using roles/iam.workloadIdentity.

Show Answer

Correct Answer: B, E

https://cloud.google.com/kubernetes-engine/docs/how-to/workload-identity

Unlock All Questions for Google Professional-Cloud-Developer Exam

Full Exam Access, Actual Exam Questions, Validated Answers, Anytime Anywhere, No Download Limits, No Practice Limits

Get All 265 Questions & Answers