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Google Professional-Cloud-Developer (Google Certified Professional - Cloud Developer) Certification Exam is designed to test an individual's knowledge and skills in developing and deploying applications on the Google Cloud Platform (GCP). Professional-Cloud-Developer exam is intended for developers who have experience building and deploying cloud-based applications using GCP services such as Google App Engine, Google Cloud Functions, and Google Cloud Storage. Google Certified Professional - Cloud Developer certification validates that a developer has the knowledge and skills necessary to design, develop, deploy, and manage applications using GCP tools and services.

Google Professional-Cloud-Developer (Google Certified Professional - Cloud Developer) Certification Exam is designed to validate the skills and expertise of cloud developers who are responsible for developing and deploying applications on the Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification exam is intended for software developers who have experience in creating and deploying applications on GCP. Google Cloud Platform is a cloud computing platform provided by Google that offers a range of cloud services including computing, storage, analytics, and machine learning.

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Valid Real Professional-Cloud-Developer Exam & Professional-Cloud-Developer Test Sample Questions

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Managing Application Performance Monitoring

Manage Compute Engine Virtual Machines: It covers the applicants’ skills in analyzing & viewing logs; debugging custom VM images with serial ports, sending logs to Cloud Logging from VMs, and inspecting resource usage over time.
Manage Workloads for the Google Kubernetes Engine: The considerations for this topic include configuring monitoring & logging, viewing & analyzing logs, configuring workload auto-scaling, writing & exporting custom metrics, and analyzing the lifecycle events of a container.
Troubleshoot Application Performance: This one covers the skills of the test takers in using Cloud Debugger, creating and writing custom and log-based metrics, exporting the logs from GC, and using forums, Google Cloud support, and documentation, among others.

Google Certified Professional - Cloud Developer Sample Questions (Q143-Q148):

NEW QUESTION # 143
You are creating an App Engine application that writes a file to any user's Google Drive.
How should the application authenticate to the Google Drive API?

A. With an OAuth Client ID that uses the https://www.googleapis.com/auth/drive.file scope to obtain an access token for each user.
B. With an OAuth Client ID with delegated domain-wide authority.
C. With the App Engine service account and https://www.googleapis.com/auth/drive.file scope that generates a signed JWT.
D. With the App Engine service account with delegated domain-wide authority.

Answer: B

NEW QUESTION # 144
How would you define a "positive no" to a co-worker?

A. You say no with a positive voice inflection.
B. It is a way to correct a customer by informing them of what you can do.
C. It's leading with "no" and not engaging in any further conversation with the customer.
D. Lead with a positive then switch to a negative, such as, "Definitely not."

Answer: B

Explanation:
Explanation/Reference:

NEW QUESTION # 145
You manage a microservices application on Google Kubernetes Engine (GKE) using Istio. You secure the communication channels between your microservices by implementing an Istio AuthorizationPolicy, a Kubernetes NetworkPolicy, and mTLS on your GKE cluster. You discover that HTTP requests between two Pods to specific URLs fail, while other requests to other URLs succeed. What is the cause of the connection issue?

A. The cluster has mTLS configured in permissive mode, but the Pod's sidecar proxy is sending unencrypted traffic in plain text.
B. A Kubernetes NetworkPolicy resource is blocking HTTP traffic between the Pods.
C. The Pod initiating the HTTP requests is attempting to connect to the target Pod via an incorrect TCP port.
D. The Authorization Policy of your cluster is blocking HTTP requests for specific paths within your application.

Answer: D

NEW QUESTION # 146
You have two Google Cloud projects, named Project A and Project B. You need to create a Cloud Function in Project A that saves the output in a Cloud Storage bucket in Project B. You want to follow the principle of least privilege. What should you do?

A. 1. Create a Google service account in Project B.
2. Deploy the Cloud Function with the service account in Project A.
3. Assign this service account the roles/storage.objectCreator role on the storage bucket residing in Project B.
B. 1. Determine the default App Engine service account
(PROJECT_ID@appspot.gserviceaccount.com) in Project A.
2. Deploy the Cloud Function with the default App Engine service account in Project A.
3. Assign the default App Engine service account the roles/storage.objectCreator role on the storage bucket residing in Project B.
C. 1. Create a Google service account in Project A
2. Deploy the Cloud Function with the service account in Project A.
3. Assign this service account the roles/storage.objectCreator role on the storage bucket residing in Project B.
D. 1. Determine the default App Engine service account
(PROJECT_ID@appspot.gserviceaccount.com) in Project B.
2. Deploy the Cloud Function with the default App Engine service account in Project A.
3. Assign the default App Engine service account the roles/storage.objectCreator role on the storage bucket residing in Project B.

Answer: C

Explanation:
https://articles.wesionary.team/multi-project-account-service-account-in-gcp-ba8f8821347e

NEW QUESTION # 147
Your team develops stateless services that run on Google Kubernetes Engine (GKE). You need to deploy a new service that will only be accessed by other services running in the GKE cluster. The service will need to scale as quickly as possible to respond to changing load. What should you do?

A. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
B. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a NodePort Service.
C. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a NodePort Service.
D. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.

Answer: D

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

NEW QUESTION # 148
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