Cloud Architect 50 preg (196-147) v1

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 request latency is above a certain threshold for a specified amount of time. What should you do?

• Install Anthos Service Mesh on your cluster. Use the Google Cloud Console to define a Service Level Objective (SLO), and create an alerting policy based on this SLO.

• Enable the Cloud Trace API on your project, and use Cloud Monitoring Alerts to send an alert based on the Cloud Trace metrics.

• 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.

• 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.

What should you provision?

• An HA Cloud VPN gateway connected with two tunnels to an on-premises VPN gateway.

• A Classic Cloud VPN gateway connected with two tunnels to an on-premises VPN gateway.

• Two HA Cloud VPN gateways connected to two on-premises VPN gateways. Configure each HA Cloud VPN gateway to have two tunnels, each connected to different on-premises VPN gateways.

• A Classic Cloud VPN gateway connected with one tunnel to an on-premises VPN gateway.

What should you do?

• Enable Private Google Access on sub-b.

• Configure Cloud NAT and select sub-b in the NAT mapping section.

• Configure a bastion host instance in sub-a to connect to instances in sub-b.

• Enable Identity-Aware Proxy for TCP forwarding for instances in sub-b.

Your company has an application running on App Engine that allows users to upload music files and share them with other people. You want to allow users to upload files directly into Cloud Storage from their browser session. The payload should not be passed through the backend. What should you do?

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What should you do?

• Change the Target type to DELTA_PER_MINUTE.

• Change the Metric identifier to agent.googleapis.com/memory/bytes_used.

• Change the filter to metric.label.state = 'used' AND metric.label.state = 'buffered' AND metric.label.state = 'cached' AND metric.label.state = 'slab'.

• Change the filter to metric.label.state = 'free' and the Target utilization to 20.

Which feature should you enable?

• Bucket Lock.

• Object Versioning.

• Object change notification.

• Object Lifecycle Management.

What should you do?

• Set up a network peering between vpc-a and vpc-b.

• Set up a VPN between vpc-a and vpc-b using Cloud VPN.

• Configure IAP TCP forwarding on the instance in vpc-b, and then launch the following gcloud command from one of the instances in vpc-a gcloud: gcloud compute start-iap-tunnel INSTANCE_NAME_IN_VPC_8 22 \ --local-host-port=localhost:22.

• 1. Create an additional instance in vpc-a. 2. Create an additional instance in vpc-b. 3. Install OpenVPN in newly created instances. 4. Configure a VPN tunnel between vpc-a and vpc-b with the help of OpenVPN.

Your company has a Google Cloud project that uses BigQuery for data warehousing on a pay-per-use basis. You want to monitor queries in real time to discover the most costly queries and which users spend the most. What should you do?

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What should you do?

• Create a second GKE cluster for the batch workloads only. Allocate the 200 original nodes across both clusters.

• Configure CPU and memory limits on the namespaces in the cluster. Configure all Pods to have a CPU and memory limits.

• Configure a HorizontalPodAutoscaler for all stateless workloads and for all compatible stateful workloads. Configure the cluster to use node auto scaling.

• Change the node pool to use preemptible VMs.

What should you do?

• Configure liveness and readiness probes in the Pod specification.

• Configure health checks on the managed instance group.

• Create a Scheduled Task to check whether the application is available.

• Configure an uptime alert in Cloud Monitoring.