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Google Professional-Cloud-Developer (Google Certified Professional - Cloud Developer) Exam is a certification exam that assesses an individual's ability to develop and deploy applications on Google Cloud Platform. Professional-Cloud-Developer Exam is designed for developers who have experience in building highly scalable, efficient, and reliable cloud-native applications using Google Cloud tools and services.

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Google Professional-Cloud-Developer Certification Exam is a highly sought-after certification in the field of cloud computing. It is one of the most prestigious certifications offered by Google and is designed to test an individual’s proficiency in developing applications on the Google Cloud Platform. Google Certified Professional - Cloud Developer certification exam is intended for developers who have a strong understanding of cloud computing concepts, software development, and the Google Cloud Platform.

Google Certified Professional - Cloud Developer Sample Questions (Q211-Q216):

NEW QUESTION # 211
You have an application written in Python running in production on Cloud Run. Your application needs to read/write data stored in a Cloud Storage bucket in the same project. You want to grant access to your application following the principle of least privilege. What should you do?

A. Create a user-managed service account with the Project Editor Identity and Access Management (IAM) role.
B. Create a user-managed service account with the Storage Admin Identity and Access Management (IAM) role.
C. Use the default service account linked to the Cloud Run revision in production.
D. Create a user-managed service account with a custom Identity and Access Management (IAM) role.

Answer: D

Explanation:
https://cloud.google.com/iam/docs/understanding-roles#storage.admin

NEW QUESTION # 212
Your team is building an application for a financial institution. The application's frontend runs on Compute Engine, and the data resides in Cloud SQL and one Cloud Storage bucket. The application will collect data containing PII, which will be stored in the Cloud SQL database and the Cloud Storage bucket. You need to secure the PII data. What should you do?

A. 1. Configure a private IP address for Cloud SQL
2. Use VPC-SC to create a service perimeter
3. Add the Cloud SQL database and the Cloud Storage bucket to the same service perimeter
B. 1. Configure a private IP address for Cloud SQL
2. Use VPC-SC to create a service perimeter
3. Add the Cloud SQL database and the Cloud Storage bucket to different service perimeters
C. 1. Create the relevant firewall rules to allow only the frontend to communicate with the Cloud SQL database
2. Enable private access to allow the frontend to access the Cloud Storage bucket privately
D. 1. Create the relevant firewall rules to allow only the frontend to communicate with the Cloud SQL database
2. Using IAM, allow only the frontend service account to access the Cloud Storage bucket

Answer: A

Explanation:
Without using VPC-SC, the PII data is not secure from exfiltration. So that leaves only C, and D as possible valid responses. However, D can be eliminated because both the Cloud SQL instance and and Cloud Storage bucket must be within the same perimeter, which leaves C and the valid answer.

NEW QUESTION # 213
You are developing a flower ordering application. Currently you have three microservices:
- Order Service (receives the orders)
- Order Fulfillment Service (processes the orders)
- Notification Service (notifies the customer when the order is filled) You need to determine how the services will communicate with each other. You want incoming orders to be processed quickly and you need to collect order information for fulfillment. You also want to make sure orders are not lost between your services and are able to communicate asynchronously. How should the requests be processed?

Answer: C

Explanation:
For efficient and reliable communication in a flower ordering application with microservices, the best approach is "Order request -> Order Service -> Pub/Sub queue -> Order Fulfillment Service
-> Firestore Database -> Pub/Sub queue -> Notification Service," ensuring quick processing and asynchronous communication without data loss.
https://cloud.google.com/pubsub/docs/overview

NEW QUESTION # 214
You are trying to connect to your Google Kubernetes Engine (GKE) cluster using kubectl from Cloud Shell. You have deployed your GKE cluster with a public endpoint. From Cloud Shell, you run the following command:

You notice that the kubectl commands time out without returning an error message. What is the most likely cause of this issue?

A. The Cloud Shell is not part of the same VPC as the GKE cluster.
B. Your user account does not have privileges to interact with the cluster using kubectl.
C. A VPC firewall is blocking access to the cluster's endpoint.
D. Your Cloud Shell external IP address is not part of the authorized networks of the cluster.

Answer: D

Explanation:
https://cloud.google.com/kubernetes-engine/docs/how-to/private-clusters#cloud_shell If you want to use Cloud Shell to access the cluster, you must add the public IP address of your Cloud Shell to the cluster's list of authorized networks.

NEW QUESTION # 215
You need to containerize a web application that will be hosted on Google Cloud behind a global load balancer with SSL certificates. You don't have the time to develop authentication at the application level, and you want to offload SSL encryption and management from your application. You want to configure the architecture using managed services where possible What should you do?

A. Host the application on Compute Engine, and configure Cloud Endpoints for your application.
B. Host the application on Google Kubernetes Engine and use Identity-Aware Proxy (IAP) with Cloud Load Balancing and Google-managed certificates.
C. Host the application on Google Kubernetes Engine, and deploy an NGINX Ingress Controller to handle authentication.
D. Host the application on Google Kubernetes Engine, and deploy cert-manager to manage SSL certificates.

Answer: B

NEW QUESTION # 216
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