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[Hardware] Professional-Cloud-Developer Test Centres - Valid Exam Professional-Cloud-Develo

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【Hardware】 Professional-Cloud-Developer Test Centres - Valid Exam Professional-Cloud-Develo

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Google Professional-Cloud-Developer certification exam is a highly respected certification in the field of cloud computing. It tests an individual’s proficiency in developing applications on the Google Cloud Platform and covers a wide range of topics related to cloud development. To be eligible to take the exam, individuals must have experience in developing applications on the Google Cloud Platform and a strong understanding of cloud computing concepts and software development methodologies. With proper preparation and study, individuals can increase their chances of passing the exam and earning the prestigious Google Professional-Cloud-Developer Certification.
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To become a Google Certified Professional - Cloud Developer, candidates must possess a thorough understanding of cloud computing concepts, such as distributed systems, service-oriented architecture, and containerization. Professional-Cloud-Developer exam covers a wide range of topics, including GCP services such as App Engine, Compute Engine, Cloud Storage, Cloud SQL, and Cloud Pub/Sub, as well as developing cloud-native solutions using GCP tools and technologies such as Kubernetes, Cloud Functions, and Cloud Run. Google Certified Professional - Cloud Developer certification is suitable for developers who want to validate their skills in developing cloud-native applications on GCP and demonstrate their expertise in cloud computing to potential employers.
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.
Google Certified Professional - Cloud Developer Sample Questions (Q78-Q83):NEW QUESTION # 78
You recently developed a web application to transfer log data to a Cloud Storage bucket daily.
Authenticated users will regularly review logs from the prior two weeks for critical events. After that, logs will be reviewed once annually by an external auditor. Data must be stored for a period of no less than 7 years. You want to propose a storage solution that meets these requirements and minimizes costs. What should you do? (Choose two.)
  • A. Create a lifecycle management policy to set the storage class to Nearline for objects older than
    14 days.
  • B. Create a lifecycle management policy to set the storage class to Coldline for objects older than 14 days.
  • C. Use the Bucket Lock feature to set the retention policy on the data.
  • D. Create a JSON Web Token (JWT) for users needing access to the Coldline storage buckets.
  • E. Run a scheduled job to set the storage class to Coldline for objects older than 14 days.
Answer: B,C
Explanation:
The requirement of storing data for a period of no less than 7 years can be met by setting the retention policy for the data in the Cloud Storage bucket. This can be done using the Bucket Lock feature (A) or a lifecycle management policy (D), which can be set to retain the objects for the required period of 7 years.

NEW QUESTION # 79
For this question, refer to the HipLocal case study.
Which Google Cloud product addresses HipLocal's business requirements for service level indicators and objectives?
  • A. Cloud Trace
  • B. Cloud Monitoring
  • C. Cloud Logging
  • D. Cloud Profiler
Answer: B
Explanation:
Explanation
https://cloud.google.com/stackdr ... monitoring#defn-sli

NEW QUESTION # 80
Your team develops services that run on Google Kubernetes Engine. Your team's code is stored in Cloud Source Repositories. You need to quickly identify bugs in the code before it is deployed to production. You want to invest in automation to improve developer feedback and make the process as efficient as possible.
What should you do?
  • A. Use Cloud Build to automate building container images from code based on forked versions.
  • B. Use Cloud Build to automate building container images from code based on Git tags.
  • C. Use Spinnaker to automate building container images from code based on Git tags.
  • D. Use Spinnaker to automate deploying container images to the production environment.
Answer: C
Explanation:
Reference: https://spinnaker.io/docs/guides ... -v2-source-to-prod/

NEW QUESTION # 81
You are planning to deploy your application in a Google Kubernetes Engine (GKE) cluster. Your application can scale horizontally, and each instance of your application needs to have a stable network identity and its own persistent disk.
Which GKE object should you use?
  • A. StatefulSet
  • B. ReplicaSet
  • C. ReplicaController
  • D. Deployment
Answer: A
Explanation:
Explanation/Reference: https://livebook.manning.com/boo ... ction/chapter-10/46

NEW QUESTION # 82
You want to migrate an on-premises container running in Knative to Google Cloud. You need to make sure that the migration doesn't affect your application's deployment strategy, and you want to use a fully managed service. Which Google Cloud service should you use to deploy your container?
  • A. Google Kubernetes Engine
  • B. Compute Engine
  • C. App Engine flexible environment
  • D. Cloud Run
Answer: D
Explanation:
Explanation
https://cloud.google.com/blog/pr ... run-services-are-ga

NEW QUESTION # 83
......
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