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Google Professional Cloud Developer Certified Professional salary

The average salary of a Google Professional Cloud Developer Certified Expert in

United State - 181,247 USD
Europe - 145,347 EURO
England - 135,632 POUND
India - 27,42,327 INR

To prepare for the Professional-Cloud-Developer Certification Exam, candidates should have a good understanding of cloud computing concepts and GCP services. They should also have experience in developing applications using at least one programming language, such as Java, Python, or Go. Google provides official study materials, such as practice exams, sample questions, and study guides, to help candidates prepare for the exam. Additionally, candidates can also enroll in training courses and attend webinars to improve their skills and knowledge.

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The Professional-Cloud-Developer exam is intended for developers who have experience in building applications on Google Cloud, and who are looking to demonstrate their expertise to potential employers and clients. Professional-Cloud-Developer Exam covers a wide range of topics, including cloud computing concepts, Google Cloud services, application development, and deployment.

Google Certified Professional - Cloud Developer Sample Questions (Q255-Q260):

NEW QUESTION # 255
Your company's development teams want to use various open source operating systems in their Docker builds. When images are created in published containers in your company's environment, you need to scan them for Common Vulnerabilities and Exposures (CVEs). The scanning process must not impact software development agility. You want to use managed services where possible. What should you do?

A. Enable the Vulnerability scanning setting in the Container Registry.
B. Use Cloud Monitoring to review the output of Cloud Build to determine whether a vulnerable version has been used.
C. Disallow the use of non-commercially supported base images in your development environment.
D. Create a Cloud Function that is triggered on a code check-in and scan the code for CVEs.

Answer: A

Explanation:
https://cloud.google.com/container-analysis/docs/os-overview

NEW QUESTION # 256
Your team is developing an application in Google Cloud that executes with user identities maintained by Cloud Identity. Each of your application's users will have an associated Pub/Sub topic to which messages are published, and a Pub/Sub subscription where the same user will retrieve published messages. You need to ensure that only authorized users can publish and subscribe to their own specific Pub/Sub topic and subscription. What should you do?

A. Grant the user identity a custom role that contains the pubsub.topics.create and pubsub.subscriptions.create permissions.
B. Grant the user identity the pubsub.publisher and pubsub.subscriber roles at the project level.
C. Bind the user identity to the pubsub.publisher and pubsub.subscriber roles at the resource level.
D. Configure the application to run as a service account that has the pubsub.publisher and pubsub.subscriber roles.

Answer: A

NEW QUESTION # 257
You are using Cloud Run and Cloud SQL for PostgreSQL to develop an application. You want to test your application code locally before deploying new application versions to the development environment that is shared with other developers. You need to set up your Cloud Run local development environment to test your application while keeping all traffic to Cloud SQL instances encrypted and authenticated to Cloud IAM and PostgreSQL. What should you do before starting the local development server?

A. Install PostgreSQL on your local workstation. Run a local PostgreSQL database on your workstation. Configure the application to connect to a PostgreSQL instance on localhost.
B. Download and install the Cloud SQL Auth Proxy to your local development environment.
Configure the Cloud SQL Auth Proxy to connect to the Cloud SQL instance and run the proxy.
Configure the application to connect to a PostgreSQL instance on localhost.
C. Configure your local development server to connect to the private IP address of the Cloud SQL instance. Encrypt database entries with a cryptographic library before submitting them to the database. Store the decryption key as an environment variable in Cloud Run.
D. Deploy a Compute Engine instance, and install HAProxy on the instance. Configure Cloud SQL Auth Proxy on the instance, and use the instance's service account to authenticate to Cloud SQL.
Configure the application to connect to the Compute Engine instance's IP address.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/postgres/connect-app-engine-standard

NEW QUESTION # 258
Your company has a BigQuery dataset named "Master" that keeps information about employee travel and expenses. This information is organized by employee department. That means employees should only be able to view information for their department. You want to apply a security framework to enforce this requirement with the minimum number of steps.
What should you do?

A. Create a separate dataset for each department. Create a data pipeline for each department to copy appropriate information from the Master dataset to the specific dataset for the department. Give employees the permission to this department-specific dataset.
B. Create a dataset named Master dataset. Create a separate view for each department in the Master dataset. Give employees access to the specific view for their department.
C. Create a separate dataset for each department. Create a view with an appropriate WHERE clause to select records from a particular dataset for the specific department. Authorize this view to access records from your Master dataset. Give employees the permission to this department-specific dataset.
D. Create a dataset named Master dataset. Create a separate table for each department in the Master dataset. Give employees access to the specific table for their department.

Answer: A

Explanation:
Explanation

NEW QUESTION # 259
Your application is deployed in a Google Kubernetes Engine (GKE) cluster. When a new version of your application is released, your CI/CD tool updates the spec.template.spec.containers[0].image value to reference the Docker image of your new application version. When the Deployment object applies the change, you want to deploy at least
1 replica of the new version and maintain the previous replicas until the new replica is healthy.
Which change should you make to the GKE Deployment object shown below?

A. Set the Deployment strategy to RollingUpdate with maxSurge set to 1, maxUnavailable set to 0.
B. Set the Deployment strategy to RollingUpdate with maxSurge set to 0, maxUnavailable set to 1.
C. Set the Deployment strategy to Recreate with maxSurge set to 1, maxUnavailable set to 0.
D. Set the Deployment strategy to Recreate with maxSurge set to 0, maxUnavailable set to 1.

Answer: A

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-upgrades The simplest way to take advantage of surge upgrade is to configure maxSurge=1 maxUnavailable=0. This means that only 1 surge node can be added to the node pool during an upgrade so only 1 node will be upgraded at a time. This setting is superior to the existing upgrade configuration (maxSurge=0 maxUnavailable=1) because it speeds up Pod restarts during upgrades while progressing conservatively.

NEW QUESTION # 260
......

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