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[Hardware] Tips to Crack the Google Professional-Cloud-Developer Exam

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【Hardware】 Tips to Crack the Google Professional-Cloud-Developer Exam

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The Google Professional Cloud Developer certification is created to validate the candidates’ understanding of Cloud-native software design principles. It also measures the ability of the specialists to build, test and deploy applications with the help of best practices for scalability, reliability, and security. To earn this sought-after certificate, the applicants need to ace a single exam.
Google Certified Professional - Cloud Developer Sample Questions (Q206-Q211):NEW QUESTION # 206
Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?
  • A. Perform stale reads using read-write transactions.
  • B. Perform stale reads using single-read methods.
  • C. Perform strong reads using single-read methods.
  • D. Perform Read-Only transactions.
Answer: A
Explanation:
Reference: https://cloud.google.com/solutio ... ner-gaming-database

NEW QUESTION # 207
You are building an API that will be used by Android and iOS apps. The API must:
- Support HTTPs
- Minimize bandwidth cost
- Integrate easily with mobile apps
Which API architecture should you use?
  • A. gRPC-based APIs
  • B. RESTful APIs
  • C. SOAP-based APIs
  • D. MQTT for APIs
Answer: A
Explanation:
gRPC architectural style has promising features that can (and should) be explored. It is an excellent option for working with multi-language systems, real-time streaming, and for instance, when operating an IoT system that requires light-weight message transmission such as the serialized Protobuf messages allow. Moreover, gRPC should also be considered for mobile applications since they do not need a browser and can benefit from smaller messages, preserving mobiles' processors' speed.

NEW QUESTION # 208
You recently migrated a monolithic application to Google Cloud by breaking it down into microservices. One of the microservices is deployed using Cloud Functions. As you modernize the application, you make a change to the API of the service that is backward-incompatible. You need to support both existing callers who use the original API and new callers who use the new API. What should you do?
  • A. Leave the original Cloud Function as-is and deploy a second Cloud Function that includes only the changed API. Calls are automatically routed to the correct function.
  • B. Leave the original Cloud Function as-is and deploy a second Cloud Function with the new API.
    Use Cloud Endpoints to provide an API gateway that exposes a versioned API.
  • C. Leave the original Cloud Function as-is and deploy a second Cloud Function with the new API.
    Use a load balancer to distribute calls between the versions.
  • D. Re-deploy the Cloud Function after making code changes to support the new API. Requests for both versions of the API are fulfilled based on a version identifier included in the call.
Answer: B
Explanation:
https://cloud.google.com/endpoin ... kwards-incompatible When you make changes to your API that breaks your customers' client code, as a best practice, increment the major version number of your API. Endpoints can run more than one major version of an API concurrently. By providing both versions of the API, your customers can pick which version they want to use and control when they migrate to the new version.

NEW QUESTION # 209
You support an application that uses the Cloud Storage API. You review the logs and discover multiple HTTP
503 Service Unavailable error responses from the API. Your application logs the error and does not take any further action. You want to implement Google-recommended retry logic to improve success rates. Which approach should you take?
  • A. Retry each failure at decreasing time intervals up to a maximum number of tries.
  • B. Retry the failures in batch after a set number of failures is logged.
  • C. Retry each failure at increasing time intervals up to a maximum number of tries.
  • D. Retry each failure at a set time interval up to a maximum number of times.
Answer: C
Explanation:
https://cloud.google.com/storage/docs/retry-strategy

NEW QUESTION # 210
You are developing an application that will handle requests from end users. You need to secure a Cloud Function called by the application to allow authorized end users to authenticate to the function via the application while restricting access to unauthorized users. You will integrate Google Sign-In as part of the solution and want to follow Google-recommended best practices.
What should you do?
  • A. Deploy from a source code repository and grant users the roles/cloudfunctions.invoker role
  • B. Deploy from your local machine using gcloud and grant users the roles/cloudfunctions.admin role
  • C. Deploy from a source code repository and grant users the roles/cloudfunctions.viewer role.
  • D. Deploy from your local machine using gcloud and grant users the roles/cloudfunctions.developer role
Answer: A
Explanation:
Have the user account you are using to access Cloud Functions assigned a role that contains the cloudfunctions.functions.invoke permission. By default, the Cloud Functions Admin and Cloud Functions Developer roles have this permission. See Cloud Functions IAM Roles for the full list of roles and their associated permissions.

NEW QUESTION # 211
......
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