4.2 Consuming Google Cloud APIs PROFESSIONAL-CLOUD-DEVELOPER Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   Your team is building a Python application that will run on Compute Engine and needs to list objects in a Cloud Storage bucket. The application must use the most idiomatic and maintainable approach for the language. You want to minimize the amount of custom HTTP code. What should you do?

   • AUse the Cloud Storage JSON API directly with the requests library, attaching an OAuth 2.0 token.
   • BUse the Google Cloud Storage client library for Python, authenticating with the default service account.
   • CUse gRPC with generated stubs for Cloud Storage, setting up a channel with the service account credentials.
   • DUse the API Explorer to generate a Python code snippet and paste it into your application.
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2. 7expert · hard

   Your application needs to update 1,000 rows in a Cloud Bigtable table. You have implemented batching using the client library's bulk mutation feature. However, some mutations fail due to transient errors. You want to ensure all mutations are eventually applied without overwhelming the service. What should you do?

   • ARetry the entire batch with exponential backoff until it succeeds.
   • BCheck the per-row errors in the response and retry only the failed rows with exponential backoff.
   • CIncrease the batch size to reduce the number of requests.
   • DIgnore the errors and log them for manual review.
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4. 8foundation · easy

   Which of the following is a way to restrict the data returned by an API call?

   • AUsing a larger page size
   • BUsing a different authentication method
   • CUsing a higher timeout value
   • DUsing query parameters like 'fields' or 'mask'
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5. 9foundation · easy

   A developer wants to write a Python application that calls a Google Cloud API with minimal boilerplate and idiomatic code. Which access option is most appropriate?

   • AAPI Explorer
   • BCloud Client Libraries
   • CREST API directly
   • DgRPC with generated stubs
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6. 10application · medium

   Your application needs to update 200 rows in a Cloud Bigtable table. Each update is a separate API call. You want to reduce the number of round trips and improve throughput. What should you do?

   • AUse the Bigtable REST API to send each update as a separate HTTP request.
   • BUse gRPC streaming to send updates as a stream of messages.
   • CUse the API Explorer to send all updates in a single request.
   • DUse the Bigtable client library's bulk mutation feature to send all updates in one request.
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