You support a web application that runs on App Engine and uses CloudSQL and Cloud Storage for data storage. After a short spike in website traffic, you notice a big increase in latency for all user requests, increase in CPU use, and the number of processes running the application. Initial troubleshooting reveals:
After the initial spike in traffic, load levels returned to normal but users still experience high latency.
Requests for content from the CloudSQL database and images from Cloud Storage show the same high latency.
No changes were made to the website around the time the latency increased.
There is no increase in the number of errors to the users.
You expect another spike in website traffic in the coming days and want to make sure users don't experience latency. What should you do?

• A.Upgrade the GCS buckets to Multi-Regional.
• B.Enable high availability on the CloudSQL instances.
• C.Move the application from App Engine to Compute Engine.
• D.Modify the App Engine configuration to have additional idle instances.

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You are responsible for the reliability of a high-volume enterprise application. A large number of users report that an important subset of the application's functionality - a data intensive reporting feature - is consistently failing with an HTTP 500 error. When you investigate your application's dashboards, you notice a strong correlation between the failures and a metric that represents the size of an internal queue used for generating reports. You trace the failures to a reporting backend that is experiencing high I/O wait times. You quickly fix the issue by resizing the backend's persistent disk (PD). How you need to create an availability Service Level Indicator (SLI) for the report generation feature. How would you define it?

• A.As the I/O wait times aggregated across all report generation backends
• B.As the proportion of report generation requests that result in a successful response
• C.As the application's report generation queue size compared to a known-good threshold
• D.As the reporting backend PD throughout capacity compared to a known-good threshold

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You deploy a new release of an internal application during a weekend maintenance window when there is minimal user tragic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future. What should you do? (Choose two.)

• A.Configure a CI server. Add a suite of unit tests to your code and have your CI server run them on commit and verify any changes.
• B.Before merging new code, require 2 different peers to review the code changes.
• C.Integrate a code linting tool to validate coding standards before any code is accepted into the repository.
• D.Adopt the blue/green deployment strategy when releasing new code via a CD server.
• E.Require developers to run automated integration tests on their local development environments before release.

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You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

• A.Grant the team members the IAM role of logging.configWriter on Cloud IAM.
• B.Configure Access Context Manager to allow only these members to export logs.
• C.Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
• D.Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.

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You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?

• A.Create a new GCP monitoring project, and create a Stackdriver Workspace inside it. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
• B.Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.
• C.Choose an existing GCP production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
• D.Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.

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