Google Professional Cloud Developer Practice Test - Questions Answers, Page 23

You work for an organization that manages an ecommerce site. Your application is deployed behind a global HTTP(S) load balancer. You need to test a new product recommendation algorithm. You plan to use A/B testing to determine the new algorithm's effect on sales in a randomized way. How should you test this feature?

You plan to deploy a new application revision with a Deployment resource to Google Kubernetes Engine (GKE) in production. The container might not work correctly. You want to minimize risk in case there are issues after deploying the revision. You want to follow Google-recommended best practices. What should you do?

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?

Your team is writing a backend application to implement the business logic for an interactive voice response (IVR) system that will support a payroll application. The IVR system has the following technical characteristics:

* Each customer phone call is associated with a unique IVR session.

* The IVR system creates a separate persistent gRPC connection to the backend for each session.

* If the connection is interrupted, the IVR system establishes a new connection, causing a slight latency for that call.

You need to determine which compute environment should be used to deploy the backend application. Using current call data, you determine that:

* Call duration ranges from 1 to 30 minutes.

* Calls are typically made during business hours.

* There are significant spikes of calls around certain known dates (e.g., pay days), or when large payroll changes occur.

You want to minimize cost, effort, and operational overhead. Where should you deploy the backend application?

You are developing an application hosted on Google Cloud that uses a MySQL relational database schema. The application will have a large volume of reads and writes to the database and will require backups and ongoing capacity planning. Your team does not have time to fully manage the database but can take on small administrative tasks. How should you host the database?

You are developing a new web application using Cloud Run and committing code to Cloud Source Repositories. You want to deploy new code in the most efficient way possible. You have already created a Cloud Build YAML file that builds a container and runs the following command: gcloud run deploy. What should you do next?

Your team has created an application that is hosted on a Google Kubernetes Engine (GKE) cluster You need to connect the application to a legacy REST service that is deployed in two GKE clusters in two different regions. You want to connect your application to the legacy service in a way that is resilient and requires the fewest number of steps You also want to be able to run probe-based health checks on the legacy service on a separate port How should you set up the connection?

You work for a financial services company that has a container-first approach. Your team develops microservices applications You have a Cloud Build pipeline that creates a container image, runs regression tests, and publishes the image to Artifact Registry You need to ensure that only containers that have passed the regression tests are deployed to Google Kubernetes Engine (GKE) clusters You have already enabled Binary Authorization on the GKE clusters What should you do next?

You have an ecommerce application hosted in Google Kubernetes Engine (GKE) that receives external requests and forwards them to third-party APIs external to Google Cloud. The third-party APIs are responsible for credit card processing, shipping, and inventory management using the process shown in the diagram.

Your customers are reporting that the ecommerce application is running slowly at unpredictable times. The application doesn't report any metrics You need to determine the cause of the inconsistent performance What should you do?