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.Use Stackdriver Debugger Snapshots to look at a point-in-time execution of the application.
• C.Use Stackdriver Trace to determine which functions within the application have higher latency.
• D.Add logging commands to the application and use Stackdriver Logging to check where the latency problem occurs.

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Your application team is developing an ecommerce application. Your team has developed a new functionality that has a dependency on a third-party service. This third-party service will be deployed in a few days. However, you have been unable to ensure the reliability of this service.
You need to choose a deployment strategy for the ecommerce application that will avoid disruption and can be rolled back quickly if issues are discovered. What should you do?

• A.Deploy the new functionality by using an A/B deployment strategy.
• B.Deploy the new functionality to all users by using a blue/green deployment strategy.
• C.Use a feature flag to enable the new functionality to users on demand. Gradually enable the new functionality to more users.
• D.Gradually roll out the new functionality by using a rolling updates deployment strategy. Start with a small subset of users and increase the number of users over time.

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You have an application deployed in production. When a new version is deployed, some issues don't arise until the application receives traffic from users in production. You want to reduce both the impact and the number of users affected.
Which deployment strategy should you use?

• A.Blue/green deployment
• B.Canary deployment
• C.Rolling deployment
• D.Recreate deployment

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You are developing an application that will allow users to read and post comments on news articles. You want to configure your application to store and display user-submitted comments using Firestore. How should you design the schema to support an unknown number of comments and articles?

• A.Store each comment in a subcollection of the article.
• B.Store each comment in a document, and add the comment's key to an array property on the user profile.
• C.Add each comment to an array property on the article.
• D.Store each comment in a document, and add the comment's key to an array property on the article.

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You are developing a discussion portal that is built on Cloud Run. Incoming external requests are routed through a set of microservices before a response is sent. Some of these microservices connect to databases. You need to run a load test to identify any bottlenecks in the application when it is under load. You want to follow Google-recommended practices. What should you do?

• A.Modify the response to include a time series that shows elapsed time per service. Use Log Analytics in Cloud Logging to create a heatmap that exposes any service that could be a bottleneck.
• B.Configure Cloud Trace to capture the requests from the load testing clients. Review the timings in Cloud Trace.
• C.Expose the latency metrics per service for each request. Configure Google Cloud Managed Service for Prometheus, and use it to scrape and analyze the metrics.
• D.Add log statements that capture elapsed time. Analyze the logs and metrics by using BigQuery.

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