You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline.
Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

• A.Compare the canary with a new deployment of the current production version.
• B.Compare the canary with a new deployment of the previous production version.
• C.Compare the canary with the existing deployment of the current production version.
• D.Compare the canary with the average performance of a sliding window of previous production versions.

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Your team is designing a new application for deployment into Google Kubernetes Engine (GKE). You need to set up monitoring to collect and aggregate various application-level metrics in a centralized location. You want to use Google Cloud Platform services while minimizing the amount of work required to set up monitoring.
What should you do?

• A.Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.
• B.Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
• C.Install the OpenTelemetry client libraries in the application, configure Stackdriver as the export destination for the metrics, and then observe the application's metrics in Stackdriver.
• D.Emit all metrics in the form of application-specific log messages, pass these messages from the containers to the Stackdriver logging collector, and then observe metrics in Stackdriver.

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You built a serverless application by using Cloud Run and deployed the application to your production environment You want to identify the resource utilization of the application for cost optimization What should you do?

• A.Use Cloud Trace with distributed tracing to monitor the resource utilization of the application
• B.Use Cloud Profiler with Ops Agent to monitor the CPU and memory utilization of the application
• C.Use Cloud Monitoring to monitor the container CPU and memory utilization of the application
• D.Use Cloud Ops to create logs-based metrics to monitor the resource utilization of the application

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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.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.
• C.Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.
• D.Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.

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Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?

• A.Create a new service account with the Container Developer role and use it to run Cloud Build.
• B.Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.
• C.Assign the Container Developer role to the Cloud Build service account.
• D.Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.

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