Your service adds text to images that it reads from Cloud Storage. During busy times of the year, requests to Cloud Storage fail with an HTTP 429 "Too Many Requests" status code.
How should you handle this error?

• A.Add a cache-control header to the objects.
• B.Request a quota increase from the GCP Console.
• C.Retry the request with a truncated exponential backoff strategy.
• D.Change the storage class of the Cloud Storage bucket to Multi-regional.

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You are a developer working with the CI/CD team to troubleshoot a new feature that your team introduced.
The CI/CD team used HashiCorp Packer to create a new Compute Engine image from your development branch. The image was successfully built, but is not booting up. You need to investigate the issue with the CI/CD team. What should you do?

• A.Create a new feature branch, and ask the build team to rebuild the image.
• B.Shut down the deployed virtual machine, export the disk, and then mount the disk locally to access the boot logs.
• C.Install Packer locally, build the Compute Engine image locally, and then run it in your personal Google Cloud project.
• D.Check Compute Engine OS logs using the serial port, and check the Cloud Logging logs to confirm access to the serial port.

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Case Study
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform.
The HipLocal team understands their application well, but has limited experience in global scale applications.
Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
In order to meet their business requirements, how should HipLocal store their application state?

• A.Use local SSDs to store state.
• B.Put a memcache layer in front of MySQL.
• C.Move the state storage to Cloud Spanner.
• D.Replace the MySQL instance with Cloud SQL.

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You are designing an application that consists of several microservices. Each microservice has its own RESTful API and will be deployed as a separate Kubernetes Service. You want to ensure that the consumers of these APIs aren't impacted when there is a change to your API, and also ensure that third-party systems aren't interrupted when new versions of the API are released. How should you configure the connection to the application following Google-recommended best practices?

• A.Use an Ingress that uses the API's URL to route requests to the appropriate backend.
• B.Leverage a Service Discovery system, and connect to the backend specified by the request.
• C.Combine multiple versions in the same service, and then specify the API version in the POST request.
• D.Use multiple clusters, and use DNS entries to route requests to separate versioned backends.

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Your team develops services that run on Google Kubernetes Engine. You need to standardize their log data using Google-recommended practices and make the data more useful in the fewest number of steps. What should you do? (Choose two.)

• A.Create aggregated exports on application logs to BigQuery to facilitate log analytics.
• B.Create aggregated exports on application logs to Cloud Storage to facilitate log analytics.
• C.Write log output to standard output (stdout) as single-line JSON to be ingested into Cloud Logging as structured logs.
• D.Mandate the use of the Logging API in the application code to write structured logs to Cloud Logging.
• E.Mandate the use of the Pub/Sub API to write structured data to Pub/Sub and create a Dataflow streaming pipeline to normalize logs and write them to BigQuery for analytics.

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