Google Professional-Cloud-Architect 問題集

質問 1：
For this question, refer to the Mountkirk Games case study
Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments. Developers and testers can access each other's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production.
What should you do to isolate development environments from staging and production?
A. Create a project for development and test and another for staging and production.
B. Create one subnetwork for development and another for staging and production.
C. Create one project for development, a second for staging and a third for production.
D. Create a network for development and test and another for staging and production.
正解：C

質問 2：
A small number of API requests to your microservices-based application take a very long time. You know that each request to the API can traverse many services. You want to know which service takes the longest in those cases. What should you do?
A. Instrument your application with Stackdnver Trace in order to break down the request latencies at each microservice.
B. Send custom metrics for each of your requests to Stackdriver Monitoring.
C. Set timeouts on your application so that you can fail requests faster.
D. Use Stackdriver Monitoring to look for insights that show when your API latencies are high.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 3：
Your company uses Google Kubernetes Engine (GKE) as a platform for all workloads. Your company has a single large GKE cluster that contains batch, stateful, and stateless workloads. The GKE cluster is configured with a single node pool with 200 nodes. Your company needs to reduce the cost of this cluster but does not want to compromise availability. What should you do?
A. Configure CPU and memory limits on the namespaces in the cluster. Configure all Pods to have a CPU and memory limits.
B. Change the node pool to use spot VMs.
C. Create a second GKE cluster for the batch workloads only. Allocate the 200 original nodes across both clusters.
D. Configure a HorizontalPodAutoscaler for all stateless workloads and for all compatible stateful workloads. Configure the cluster to use node auto scaling.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 4：
You set up an autoscaling instance group to serve web traffic for an upcoming launch. After configuring the instance group as a backend service to an HTTP(S) load balancer, you notice that virtual machine (VM) instances are being terminated and re-launched every minute. The instances do not have a public IP address.
You have verified the appropriate web response is coming from each instance using the curl command. You want to ensure the backend is configured correctly. What should you do?
A. Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.
B. Ensure that a firewall rule exists to allow source traffic on HTTP/HTTPS to reach the load balancer.
C. Create a tag on each instance with the name of the load balancer. Configure a firewall rule with the name of the load balancer as the source and the instance tag as the destination.
D. Assign a public IP to each instance and configure a firewall rule to allow the load balancer to reach the instance public IP.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 5：
Your company has an application deployed on Anthos clusters (formerly Anthos GKE) that is running multiple microservices. The cluster has both Anthos Service Mesh and Anthos Config Management configured. End users inform you that the application is responding very slowly. You want to identify the microservice that is causing the delay. What should you do?
A. Use Anthos Config Management to create a namespaceSelector selecting the relevant cluster namespace. On the Google Cloud Console page for Google Kubernetes Engine, visit the workloads and filter on the namespace. Inspect the configurations of the filtered workloads.
B. Use the Service Mesh visualization in the Cloud Console to inspect the telemetry between the microservices.
C. Reinstall istio using the default istio profile in order to collect request latency. Evaluate the telemetry between the microservices in the Cloud Console.
D. Use Anthos Config Management to create a ClusterSelector selecting the relevant cluster. On the Google Cloud Console page for Google Kubernetes Engine, view the Workloads and filter on the cluster. Inspect the configurations of the filtered workloads.
正解：B
解説: (Topexam メンバーにのみ表示されます)