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Google Professional-Cloud-Developer Exam is a certification that is designed for developers who have experience in building and deploying applications on the Google Cloud Platform. Professional-Cloud-Developer exam is intended to validate the skills and knowledge of developers who are competent in developing, deploying, and maintaining cloud applications using Google Cloud technologies. Google Certified Professional - Cloud Developer certification is highly regarded in the industry and is a testament to the developer's ability to work with cutting-edge cloud technologies.

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Google Professional-Cloud-Developer Certification Exam is designed to test and validate the skills and knowledge of developers who work with Google Cloud Platform (GCP). It is an industry-recognized certification that demonstrates a developer's ability to design, build, test, and deploy applications on GCP using best practices and industry standards. Professional-Cloud-Developer Exam covers a wide range of topics including GCP infrastructure, data storage, application development, deployment, and monitoring.

Google Certified Professional - Cloud Developer Sample Questions (Q166-Q171):

NEW QUESTION # 166
There are three teams developing an ecommerce application in the same Google Cloud project.
Team A will build a set of RESTful APIs that exposes some core functionalities for the application.
Team B and Team C will make requests to those APIs in their downstream processes running on Cloud Run services. You need to propose a solution for exposing the APIs in a way that maximizes security and minimizes management overhead for the three teams. How should you design this solution?

A. 1. Team A uses Apigee hybrid to create an API key and shares that key with Team B and Team
2. Team B and Team C store the API key in a secret in Secret Manager, and use this API key to access the API endpoint.
B. 1. Team A uses an API key to authorize Cloud API Gateway and shares the key with Team B and Team C.
2. Team B and Team C store the API key in a secret in Secret Manager, and use this API key to access the API endpoint.
C. 1. Team A uses service accounts to authorize Cloud API Gateway. Team B and Team C each create a service account, export their service account's key, and store each key in a separate secret in Secret Manager.
2. Team B and Team C use this service account key to create an OAuth token to access the APIs.
D. 1. Team A uses service accounts to authorize Cloud API Gateway. Team B and Team C each create a service account that has access to the APIs.
2. Team B and Team C access the APIs in the Cloud Run service running their processes by using the service accounts attached to their service.

Answer: D

Explanation:
This solution maximizes security by using service accounts for authentication and authorization, avoiding the need to manage and distribute API keys or secrets, which can be insecure and cumbersome. By configuring Cloud API Gateway to use service accounts, you ensure that only authorized services can access the APIs securely. Attaching the service accounts directly to Team B and Team C's Cloud Run services enables seamless and secure access without requiring manual handling of credentials.
Using service accounts also aligns with Google Cloud's best practices for identity and access management, minimizing management overhead while providing a scalable and secure way to control access across teams and services.

NEW QUESTION # 167
You are developing an application using different microservices that must remain internal to the cluster. You want the ability to configure each microservice with a specific number of replicas.
You also want the ability to address a specific microservice from any other microservice in a uniform way, regardless of the number of replicas the microservice scales to. You plan to implement this solution on Google Kubernetes Engine. What should you do?

A. Deploy each microservice as a Deployment. Expose the Deployment in the cluster using a Service, and use the Service DNS name to address it from other microservices within the cluster.
B. Deploy each microservice as a Deployment. Expose the Deployment in the cluster using an Ingress, and use the Ingress IP address to address the Deployment from other microservices within the cluster.
C. Deploy each microservice as a Pod. Expose the Pod in the cluster using an Ingress, and use the Ingress IP address to address the Pod from other microservices within the cluster.
D. Deploy each microservice as a Pod. Expose the Pod in the cluster using a Service, and use the Service DNS name to address the microservice from other microservices within the cluster.

Answer: A

Explanation:
We need to have deployment descriptor with apiversion, kind, metadata, spec details.
We can mention the replica set inside spec.
All pods must communicate with each other using service DNS names -> DNS is built in for GKE cluster.

NEW QUESTION # 168
You are deploying a single website on App Engine that needs to be accessible via the URL http:// www.altostrat.com/.
What should you do?

A. Verify domain ownership with Webmaster Central.
Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.
B. Verify domain ownership with Webmaster Central.
Define an A record pointing to the single global App Engine IP address.
C. Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service.
Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.
D. Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service.
Define an A record pointing to the single global App Engine IP address.

Answer: A

Explanation:
https://cloud.google.com/appengine/docs/flexible/dotnet/mapping-custom-domains?hl=fa

NEW QUESTION # 169
Your code is running on Cloud Functions in projectA . It is supposed to write an object in a Cloud Storage bucket owned by project B.
However, the write call is failing with the error "403 Forbidden".
What should you do to correct the problem?

A. Enable the Cloud Storage API in project B.
B. Grant your user account the roles/iam.serviceAccountUser role for the service-PROJECTA@gcf-adminrobot.
iam.gserviceaccount.com service account.
C. Grant your user account the roles/storage.objectCreator role for the Cloud Storage bucket.
D. Grant the service-PROJECTA@gcf-admin-robot.iam.gserviceaccount.com service account the roles/ storage.objectCreator role for the Cloud Storage bucket.

Answer: B

NEW QUESTION # 170
Your application is running on Compute Engine and is showing sustained failures for a small number of requests. You have narrowed the cause down to a single Compute Engine instance, but the instance is unresponsive to SSH.
What should you do next?

A. Delete the machine and create a new one.
B. Reboot the machine.
C. Enable and check the serial port output.
D. Take a snapshot of the disk and attach it to a new machine.

Answer: C

Explanation:
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-
ssh#debug_with_serial_console

NEW QUESTION # 171
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