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NEW QUESTION 35
Before promoting your new application code to production, you want to conduct testing across a variety of different users. Although this plan is risky, you want to test the new version of the application with production users and you want to control which users are forwarded to the new version of the application based on their operating system. If bugs are discovered in the new version, you want to roll back the newly deployed version of the application as quickly as possible.
What should you do?

• A. Deploy your application on Compute Engine. Use Traffic Director to direct a subset of user traffic to the new version based on predefined weights.
• B. Deploy your application on App Engine. Use traffic splitting to direct a subset of user traffic to the new version based on the IP address.
• C. Deploy your application on Cloud Run. Use traffic splitting to direct a subset of user traffic to the new version based on the revision tag.
• D. Deploy your application on Google Kubernetes Engine with Anthos Service Mesh. Use traffic splitting to direct a subset of user traffic to the new version based on the user-agent header.

Answer: D

NEW QUESTION 36
Your analytics system executes queries against a BigQuery dataset. The SQL query is executed in batch and passes the contents of a SQL file to the BigQuery CLI. Then it redirects the BigQuery CLI output to another process. However, you are getting a permission error from the BigQuery CLI when the queries are executed.
You want to resolve the issue. What should you do?

• A. Grant the service account BigQuery Data Editor and BigQuery Data Viewer roles.
• B. Create a view in BigQuery from the SQL query and SELECT*from the view in the CLI.
• C. Grant the service account BigQuery Data Viewer and BigQuery Job User roles.
• D. Create a new dataset in BigQuery, and copy the source table to the new dataset Query the new dataset and table from the CLI.

Answer: A

NEW QUESTION 37
You work for a web development team at a small startup. Your team is developing a Node.js application using Google Cloud services, including Cloud Storage and Cloud Build. The team uses a Git repository for version control. Your manager calls you over the weekend and instructs you to make an emergency update to one of the company's websites, and you're the only developer available. You need to access Google Cloud to make the update, but you don't have your work laptop. You are not allowed to store source code locally on a non-corporate computer. How should you set up your developer environment?

• A. Use Cloud Shell and the built-in code editor for development. Send your source code updates as pull requests.
• B. Use a text editor and the Git command line to send your source code updates as pull requests from a public computer.
• C. Use a Cloud Storage bucket to store the source code that you need to edit. Mount the bucket to a public computer as a drive, and use a code editor to update the code. Turn on versioning for the bucket, and point it to the team's Git repository.
• D. Use a text editor and the Git command line to send your source code updates as pull requests from a virtual machine running on a public computer.

Answer: A

Explanation:
https://cloud.google.com/shell/docs

NEW QUESTION 38
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