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Latest Professional-Cloud-Developer Cram Materials, Professional-Cloud-Developer Test Simulator
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You can directly refer our Professional-Cloud-Developer study materials to prepare the exam. Once the newest test syllabus is issued by the official, our experts will quickly make a detailed summary about all knowledge points of the real Professional-Cloud-Developer exam in the shortest time. All in all, our Professional-Cloud-Developer Exam Quiz will help you grasp all knowledge points. Not only our professional expert have simplified the content of the subject for you to understand fully, but also our Professional-Cloud-Developer practice guide will help you pass the exam smoothly.

Google Professional-Cloud-Developer exam is designed to test the skills and knowledge of professionals who are developers and architects in the cloud computing industry. This certification is ideal for individuals who are interested in developing cloud-based applications on the Google Cloud Platform. The exam is designed to test the candidate's proficiency in programming languages like Java, Python, and Node.js, and their ability to develop, test, and deploy applications on the Google Cloud Platform.

Google Certified Professional - Cloud Developer Sample Questions (Q117-Q122):

NEW QUESTION # 117
You manage your company's ecommerce platform's payment system, which runs on Google Cloud. Your company must retain user logs for 1 year for internal auditing purposes and for 3 years to meet compliance requirements. You need to store new user logs on Google Cloud to minimize on-premises storage usage and ensure that they are easily searchable. You want to minimize effort while ensuring that the logs are stored correctly. What should you do?

  • A. Store the logs in a Cloud Storage bucket with a 1-year retention period. After 1 year, move the logs to another bucket with a 2-year retention period.
  • B. Store the logs in a Cloud Storage bucket with a 3-year retention period.
  • C. Store the logs in a Cloud Storage bucket with bucket lock turned on.
  • D. Store the logs in Cloud Logging as custom logs with a custom retention period.

Answer: D

Explanation:
Explanation
https://cloud.google.com/logging/docs/buckets#custom-retention


NEW QUESTION # 118
You have an application in production. It is deployed on Compute Engine virtual machine instances controlled by a managed instance group. Traffic is routed to the instances via a HTTP(s) load balancer. Your users are unable to access your application. You want to implement a monitoring technique to alert you when the application is unavailable.
Which technique should you choose?

  • A. Smoke tests
  • B. Stackdriver uptime checks
  • C. Managed instance group - heath checks
  • D. Cloud Load Balancing - heath checks

Answer: B

Explanation:
Explanation/Reference: https://medium.com/google-cloud/stackdriver-monitoring-automation-part-3-uptime-checks-
476b8507f59c


NEW QUESTION # 119
You need to deploy resources from your laptop to Google Cloud using Terraform. Resources in your Google Cloud environment must be created using a service account. Your Cloud Identity has the roles/iam.serviceAccountTokenCreator Identity and Access Management (IAM) role and the necessary permissions to deploy the resources using Terraform. You want to set up your development environment to deploy the desired resources following Google-recommended best practices. What should you do?

  • A. 1) Run the following command from a command line: gcloud auth application-default login.
    2) In the browser window that opens, authenticate using your personal credentials.
  • B. 1) Download the service account's key file in JSON format, and store it locally on your laptop.
    2) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of your downloaded key file.
  • C. 1) Store the service account's key file in JSON format in Hashicorp Vault.
    2) Integrate Terraform with Vault to retrieve the key file dynamically, and authenticate to Vault using a short-lived access token.
  • D. 1) Run the following command from a command line: gcloud config set
    auth/impersonate_service_account [email protected]
    2) Set the GOOGLE_OAUTH_ACCESS_TOKEN environment variable to the value that is returned by the gcloud auth print-access-token command.

Answer: C

Explanation:
Explanation
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys#file-system Whenever possible, avoid storing service account keys on a file system. If you can't avoid storing keys on disk, make sure to restrict access to the key file, configure file access auditing, and encrypt the underlying disk.
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys#software-keystore In situations where using a hardware-based key store isn't viable, use a software-based key store to manage service account keys. Similar to hardware-based options, a software-based key store lets users or applications use service account keys without revealing the private key. Software-based key store solutions can help you control key access in a fine-grained manner and can also ensure that each key access is logged.


NEW QUESTION # 120
You need to deploy a new European version of a website hosted on Google Kubernetes Engine. The current and new websites must be accessed via the same HTTP(S) load balancer's external IP address, but have different domain names. What should you do?

  • A. Modify the existing Ingress resource with a host rule matching the new domain
  • B. Generate a new Ingress resource and specify the existing IP address as the kubernetes.io/ingress.global-static-ip-name annotation value
  • C. Define a new Ingress resource with a host rule matching the new domain
  • D. Create a new Service of type LoadBalancer specifying the existing IP address as the loadBalancerIP

Answer: A

Explanation:
Explanation
https://kubernetes.io/docs/concepts/services-networking/ingress/#name-based-virtual-hosting Name-based virtual hosts support routing HTTP traffic to multiple host names at the same IP address.


NEW QUESTION # 121
You have an application deployed in production. When a new version is deployed, you want to ensure that all production traffic is routed to the new version of your application. You also want to keep the previous version deployed so that you can revert to it if there is an issue with the new version.
Which deployment strategy should you use?

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

Answer: C


NEW QUESTION # 122
......

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