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To become a Google Professional-Cloud-Developer, candidates must pass the certification exam, which consists of multiple-choice and scenario-based questions. Professional-Cloud-Developer exam is administered online and can be taken from anywhere in the world. Candidates are given two hours to complete the exam, and they must score at least 70% to pass. Upon passing the exam, candidates receive a digital badge and certificate that they can use to showcase their expertise in Google Cloud technologies to potential employers and clients.

To become a Google Certified Professional - Cloud Developer, candidates must pass the Professional-Cloud-Developer Exam. Google Certified Professional - Cloud Developer certification is recognized as a validation of expertise in cloud application development using GCP. It is a valuable credential for developers who want to advance their careers and demonstrate their proficiency in GCP technologies. Professional-Cloud-Developer exam is designed to test candidates' knowledge and skills in developing, deploying, and managing cloud-based applications on GCP, and passing it demonstrates a high level of expertise in GCP application development.

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Google Professional-Cloud-Developer is a widely known and respected certification exam aimed at Cloud Developers who are interested in advancing their skills in building and deploying applications on Google Cloud. With this certification, professionals demonstrate their efficiency in developing applications, as well as the ability to design, test, deploy, and maintain them. The Google Certified Professional - Cloud Developer certificate is granted to those who pass the exam, which is widely accepted by businesses and organisations that use Google Cloud.

Google Certified Professional - Cloud Developer Sample Questions (Q179-Q184):

NEW QUESTION # 179
You have deployed an HTTP(s) Load Balancer with the gcloud commands shown below.

Health checks to port 80 on the Compute Engine virtual machine instance are failing and no traffic is sent to your instances. You want to resolve the problem.
Which commands should you run?

A. gcloud compute firewall-rules create allow-lb --network load-balancer --allow tcp --source-ranges 130.211.0.0/22,35.191.0.0/16 --direction INGRESS
B. gcloud compute instances add-tags ${NAME}-backend-instance-1 --tags http-server
C. gcloud compute instances add-access-config ${NAME}-backend-instance-1
D. gcloud compute firewall-rules create allow-lb --network load-balancer --allow tcp --destination-ranges 130.211.0.0/22,35.191.0.0/16 --direction EGRESS

Answer: A

Explanation:
Reference: https://cloud.google.com/vpc/docs/special-configurations

NEW QUESTION # 180
You have an application deployed in Google Kubernetes Engine (GKE) that reads and processes Pub/Sub messages. Each Pod handles a fixed number of messages per minute. The rate at which messages are published to the Pub/Sub topic varies considerably throughout the day and week, including occasional large batches of messages published at a single moment.
You want to scale your GKE Deployment to be able to process messages in a timely manner. What GKE feature should you use to automatically adapt your workload?

A. Horizontal Pod Autoscaler based on an external metric
B. Horizontal Pod Autoscaler based on resources utilization
C. Vertical Pod Autoscaler in Auto mode
D. Vertical Pod Autoscaler in Recommendation mode

Answer: B

Explanation:
Explanation
https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/

NEW QUESTION # 181
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 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.
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 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.
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 # 182
Your development team has built several Cloud Functions using Java along with corresponding integration and service tests. You are building and deploying the functions and launching the tests using Cloud Build.
Your Cloud Build job is reporting deployment failures immediately after successfully validating the code.
What should you do?

A. Verify that your Cloud Build trigger has the correct build parameters.
B. Verify that the Cloud Build service account is assigned the Cloud Functions Developer role.
C. Retry the tests using the truncated exponential backoff polling strategy.
D. Check the maximum number of Cloud Function instances.

Answer: B

Explanation:
Explanation
https://cloud.google.com/build/docs/securing-builds/configure-access-for-cloud-build-service-account

NEW QUESTION # 183
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?

A. Recreate deployment
B. Rolling deployment
C. Blue/green deployment
D. Canary deployment

Answer: C

Explanation:
Reference: https://thenewstack.io/deployment-strategies/

NEW QUESTION # 184
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