You need to run an important query in BigQuery but expect it to return a lot of records. You want to find out how much it will cost to run the query. You are using on-demand pricing. What should you do?

• A.Use the command line to run a dry run query to estimate the number of bytes read. Then convert that bytes estimate to dollars using the Pricing Calculator.
• B.Run a select count (*) to get an idea of how many records your query will look through. Then convert that number of rows to dollars using the Pricing Calculator.
• C.Use the command line to run a dry run query to estimate the number of bytes returned. Then convert that bytes estimate to dollars using the Pricing Calculator.
• D.Arrange to switch to Flat-Rate pricing for this query, then move back to on-demand.

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You have a single binary application that you want to run on Google Cloud Platform. You decided to automatically scale the application based on underlying infrastructure CPU usage. Your organizational policies require you to use virtual machines directly. You need to ensure that the application scaling is operationally efficient and completed as quickly as possible. What should you do?

• A.Create a Google Kubernetes Engine cluster, and use horizontal pod autoscaling to scale the application.
• B.Create an instance template, and use the template in a managed instance group with autoscaling configured.
• C.Create an instance template, and use the template in a managed instance group that scales up and down based on the time of day.
• D.Use a set of third-party tools to build automation around scaling the application up and down, based on Stackdriver CPU usage monitoring.

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You need to monitor resources that are distributed over different projects in Google Cloud Platform. You want to consolidate reporting under the same Stackdriver Monitoring dashboard. What should you do?

• A.Use Shared VPC to connect all projects, and link Stackdriver to one of the projects.
• B.For each project, create a Stackdriver account. In each project, create a service account for that project and grant it the role of Stackdriver Account Editor in all other projects.
• C.Configure a single Stackdriver account, and link all projects to the same account.
• D.Configure a single Stackdriver account for one of the projects. In Stackdriver, create a Group and add the other project names as criteria for that Group.

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Your company completed the acquisition of a startup and is now merging the IT systems of both companies. The startup had a production Google Cloud project in their organization. You need to move this project into your organization and ensure that the project is billed lo your organization. You want to accomplish this task with minimal effort. What should you do?

• A.Create a Private Catalog tor the Google Cloud Marketplace, and upload the resources of the startup's production project to the Catalog. Share the Catalog with your organization, and deploy the resources in your company's project.
• B.Ensure that you have an Organization Administrator Identity and Access Management (1AM) role assigned to you in both organizations. Navigate to the Resource Manager in the startup's Google Cloud organization, and drag the project to your company's organization.
• C.Create an infrastructure-as-code template tor all resources in the project by using Terraform. and deploy that template to a new project in your organization. Delete the protect from the startup's Google Cloud organization.
• D.Use the projects. move method to move the project to your organization. Update the billing account of the project to that of your organization.

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You are developing a new web application that will be deployed on Google Cloud Platform. As part of your release cycle, you want to test updates to your application on a small portion of real user traffic. The majority of the users should still be directed towards a stable version of your application. What should you do?

• A.Deploy me application on App Engine For each update, create a new version of the same service Configure traffic splitting to send a small percentage of traffic to the new version
• B.Deploy the application on App Engine For each update, create a new service Configure traffic splitting to send a small percentage of traffic to the new service.
• C.Deploy the application on Kubernetes Engine For a new release, update the deployment to use the new version
• D.Deploy the application on Kubernetes Engine For a now release, create a new deployment for the new version Update the service e to use the now deployment.

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