Your customer is receiving reports that their recently updated Google App Engine application is taking approximately 30 seconds to load for some of their users. This behavior was not reported before the update.
What strategy should you take?

• A.Work with your ISP to diagnose the problem
• B.Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back your application
• C.Roll back to an earlier known good release initially, then use Stackdriver Trace and Logging to diagnose the problem in a development/test/staging environment
• D.Roll back to an earlier known good release, then push the release again at a quieter period to investigate. Then use Stackdriver Trace and Logging to diagnose the problem

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You have been engaged by your client to lead the migration of their application infrastructure to GCP. One of their current problems is that the on-premises high performance SAN is requiring frequent and expensive upgrades to keep up with the variety of workloads that are identified as follows: 20TB of log archives retained for legal reasons; 500 GB of VM boot/data volumes and templates; 500 GB of image thumbnails;
200 GB of customer session state data that allows customers to restart sessions even if off-line for several days.
Which of the following best reflects your recommendations for a cost-effective storage allocation?

• A.Local SSD for customer session state datA. Lifecycle-managed Cloud Storage for log archives, thumbnails, and VM boot/data volumes.
• B.Memcache backed by Cloud Datastore for the customer session state datA. Lifecycle- managed Cloud Storage for log archives, thumbnails, and VM boot/data volumes.
• C.Memcache backed by Cloud SQL for customer session state datA. Assorted local SSD-backed instances for VM boot/data volumes. Cloud Storage for log archives and thumbnails.
• D.Memcache backed by Persistent Disk SSD storage for customer session state datA. Assorted local SSDbacked instances for VM boot/data volumes. Cloud Storage for log archives and thumbnails.

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Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application's performance. What should you do?

• A.Create a snapshot of the existing disk. Create an instance template from the snapshot. Create an autoscaled managed instance group from the instance template.
• B.Create a snapshot of the existing disk. Create a custom image from the snapshot. Create an autoscaled managed instance group from the custom image.
• C.Create a custom image from the existing disk. Create an instance template from the custom image.
  Create an autoscaled managed instance group from the instance template.
• D.Create an instance template from the existing disk. Create a custom image from the instance template.Create an autoscaled managed instance group from the custom image.

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One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.
Which two actions should you take? Choose 2 answers.

• A.Remove Python after running pip.
• B.Remove dependencies from requirements.txt.
• C.Use a slimmed-down base image like Alpine linux.
• D.Use larger machine types for your Google Container Engine node pools.
• E.Copy the source after the package dependencies (Python and pip) are installed.

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You have deployed an application on Anthos clusters (formerly Anthos GKE). According to the SRE practices at your company you need to be alerted if the request latency is above a certain threshold for a specified amount of time. What should you do?

• A.Enable the Cloud Trace API on your project and use Cloud Monitoring Alerts to send an alert based on the Cloud Trace metrics
• B.Configure Anthos Config Management on your cluster and create a yaml file that defines the SLO and alerting policy you want to deploy in your cluster
• C.Use Cloud Profiler to follow up the request latency. Create a custom metric in Cloud Monitoring based on the results of Cloud Profiler, and create an Alerting Policy in case this metric exceeds the threshold
• D.Install Anthos Service Mesh on your cluster. Use the Google Cloud Console to define a Service Level Objective (SLO)

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