You are using Cloud Shell and need to install a custom utility for use in a few weeks. Where can you store the file so it is in the default execution path and persists across sessions?

• A.~/bin
• B.Cloud Storage
• C./google/scripts
• D./usr/local/bin

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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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You are managing several projects on Google Cloud and need to interact on a daily basis with BigQuery, Bigtable and Kubernetes Engine using the gcloud CLI tool You are travelling a lot and work on different workstations during the week You want to avoid having to manage the gcloud CLI manually What should you do?

• A.Use a package manager to install gcloud on your workstations instead of installing it manually
• B.Create a Compute Engine instance and install gcloud on the instance Connect to this instance via SSH to always use the same gcloud installation when interacting with Google Cloud
• C.Install gcloud on all of your workstations Run the command gcloud components auto-update on each workstation
• D.Use Google Cloud Shell in the Google Cloud Console to interact with Google Cloud

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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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For this question, refer to the JencoMart case study.
The migration of JencoMart's application to Google Cloud Platform (GCP) is progressing too slowly. The infrastructure is shown in the diagram. You want to maximize throughput. What are three potential bottlenecks? (Choose 3 answers.)

• A.A tier of Google Cloud Storage that is not suited for this task
• B.A copy command that is not suited to operate over long distances
• C.Fewer virtual machines (VMs) in GCP than on-premises machines
• D.A separate storage layer outside the VMs, which is not suited for this task
• E.Complicated internet connectivity between the on-premises infrastructure and GCP
• F.A single VPN tunnel, which limits throughput

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