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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Choose storage options for application data 2. Design resilient and scalable application architectures 3. Design secure applications
Topic 2: Build and test applications	- Manage development environments 1. Implement CI/CD pipelines 2. Build application artifacts 3. Perform application testing
Topic 3: 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
Topic 4: Deploy applications	- Deploy applications to Google Cloud 1. Deploy applications using Cloud Run 2. Manage application rollout strategies 3. Deploy applications to Google Kubernetes Engine
Topic 5: Manage application performance monitoring	- Monitor and troubleshoot applications 1. Analyze metrics and alerts 2. Optimize application performance 3. Configure logging and tracing

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Google Certified Professional - Cloud Developer Sample Questions (Q64-Q69):

NEW QUESTION # 64
Your code is running on Cloud Functions in project A.
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. Grant your user account the roles/iam.serviceAccountUser role for the service-PROJECTA@gcf-adminrobot.
iam.gserviceaccount.com service account.
B. Enable the Cloud Storage API in project B.
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: A

NEW QUESTION # 65
You are developing an HTTP API hosted on a Compute Engine virtual machine instance that needs to be invoked by multiple clients within the same Virtual Private Cloud (VPC). You want clients to be able to get the IP address of the service.
What should you do?

A. Reserve a static external IP address and assign it to an HTTP(S) load balancing service's forwarding rule. Clients should use this IP address to connect to the service.
B. Ensure that clients use Compute Engine internal DNS by connecting to the instance name with the url https://[API_NAME]/[API_VERSION]/.
C. Ensure that clients use Compute Engine internal DNS by connecting to the instance name with the url https://[INSTANCE_NAME].[ZONE].c.[PROJECT_ID].internal/.
D. Reserve a static external IP address and assign it to an HTTP(S) load balancing service's forwarding rule. Then, define an A record in Cloud DNS. Clients should use the name of the A record to connect to the service.

Answer: B

NEW QUESTION # 66
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. Deployment
B. StatefulSet
C. ReplicaController
D. ReplicaSet

Answer: B

Explanation:
The state information and other resilient data for any given StatefulSet Pod is maintained in persistent disk storage associated with the StatefulSet.
https://cloud.google.com/kubernetes-engine/docs/concepts/statefulset

NEW QUESTION # 67
You are creating a Google Kubernetes Engine (GKE) cluster and run this command:

The command fails with the error:

You want to resolve the issue. What should you do?

A. Decouple services in the cluster, and rewrite new clusters to function with fewer cores.
B. Open a support case to request additional GKE quotA.
C. Request additional GKE quota is the GCP Console.
D. Request additional Compute Engine quota in the GCP Console.

Answer: C

NEW QUESTION # 68
You have a mixture of packaged and internally developed applications hosted on a Compute Engine instance that is running Linux. These applications write log records as text in local files. You want the logs to be written to Cloud Logging. What should you do?

A. Install a Google version of fluentd on the Compute Engine instance.
B. Install a Google version of collectd on the Compute Engine instance.
C. Pipe the content of the files to the Linux Syslog daemon.
D. Using cron, schedule a job to copy the log files to Cloud Storage once a day.

Answer: A

NEW QUESTION # 69
......

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