Google Certified Professional - Cloud Developer : Professional-Cloud-Developer Exam

You are designing an application that will subscribe to and receive messages from a single Pub/Sub topic and insert corresponding rows into a database. Your application runs on Linux and leverages preemptible virtual machines to reduce costs. You need to create a shutdown script that will initiate a graceful shutdown.
What should you do?

• A. Write a shutdown script that uses inter-process signals to notify the application process to disconnect from the database.
• B. Write a shutdown script that writes a file in a location that is being polled by the application once every five minutes. After the file is read, the application disconnects from the database.
• C. Write a shutdown script that publishes a message to the Pub/Sub topic announcing that a shutdown is in progress. After the application reads the message, it disconnects from the database.
• D. Write a shutdown script that broadcasts a message to all signed-in users that the Compute Engine instance is going down and instructs them to save current work and sign out.

Your application performs well when tested locally, but it runs significantly slower when you deploy it to App Engine standard environment. You want to diagnose the problem.
What should you do?

• A. File a ticket with Cloud Support indicating that the application performs faster locally.
• B. Add logging commands to the application and use Stackdriver Logging to check where the latency problem occurs.
• C. Use Stackdriver Trace to determine which functions within the application have higher latency.
• D. Use Stackdriver Debugger Snapshots to look at a point-in-time execution of the application.

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 a text editor and the Git command line to send your source code updates as pull requests from a public computer.
• B. Use Cloud Shell and the built-in code editor for development. Send your source code updates as pull requests.
• C. 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.
• D. 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.

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

You are a developer at a regulated financial company and are the lead of a risk calculation application that is running on Cloud Run. Binary Authorization for Cloud Run has been enabled as an organization policy, and there is one attestor. All applications in the company are attested.
Each application's image is deployed as part of a CI/CD pipeline during a 1-hour change window at 11 PM local time. There is a new security issue that requires you to deploy a critical fix before the next change window. You have created a new image with the fix, and your manager has approved the image in an email message. What should you do?

• A. Change the organization policy to temporarily disable Binary Authorization, and deploy the image.
• B. Add the image to the exempt image patterns in the Binary Authorization policy.
• C. Sign the image with your private key and ask the project admin to change the public key in the attestor.
• D. Use the breakglass approach to deploy the image.