You are load testing your server application. During the first 30 seconds, you observe that a previously inactive Cloud Storage bucket is now servicing 2000 write requests per second and 7500 read requests per second.
Your application is now receiving intermittent 5xx and 429 HTTP responses from the Cloud Storage JSON API as the demand escalates. You want to decrease the failed responses from the Cloud Storage API.
What should you do?

• A.Distribute the uploads across a large number of individual storage buckets.
• B.Use the XML API instead of the JSON API for interfacing with Cloud Storage.
• C.Pass the HTTP response codes back to clients that are invoking the uploads from your application.
• D.Limit the upload rate from your application clients so that the dormant bucket's peak request rate is reached more gradually.

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Your website is deployed on Compute Engine. Your marketing team wants to test conversion rates between 3 different website designs.
Which approach should you use?

• A.Deploy the website on App Engine and use traffic splitting.
• B.Deploy the website on App Engine as three separate services.
• C.Deploy the website on Cloud Functions and use traffic splitting.
• D.Deploy the website on Cloud Functions as three separate functions.

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Your App Engine standard configuration is as follows:
service: production
instance_class: B1
You want to limit the application to 5 instances.
Which code snippet should you include in your configuration?
manual_scaling:

• A.instances: 5
  min_pending_latency: 30ms
  basic_scaling:
• B.max_instances: 5
  idle_timeout: 10m
  basic_scaling:
• C.max_instances: 5
  idle_timeout: 10m
• D.instances: 5
  min_pending_latency: 30ms
  manual_scaling:

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You are using Cloud Build to create a new Docker image on each source code commit to a Cloud Source Repositoties repository. Your application is built on every commit to the master branch. You want to release specific commits made to the master branch in an automated method. What should you do?

• A.Manually trigger the build for new releases.
• B.Create a build trigger on a Git tag pattern. Use a Git tag convention for new releases.
• C.Create a build trigger on a Git branch name pattern. Use a Git branch naming convention for new releases.
• D.Commit your source code to a second Cloud Source Repositories repository with a second Cloud Build trigger. Use this repository for new releases only.

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You are developing an ecommerce application that stores customer, order, and inventory data as relational tables inside Cloud Spanner. During a recent load test, you discover that Spanner performance is not scaling linearly as expected. Which of the following is the cause?

• A.The use of the STRING data type for arbitrary-precision values.
• B.The use of LIKE instead of STARTS_WITH keyword for parameterized SQL queries.
• C.The use of 64-bit numeric types for 32-bit numbers.
• D.The use of Version 1 UUIDs as primary keys that increase monotonically.

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