Google Professional Architect 10 - 181 to 197
Authored by George Wurthmann
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Professional Development
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17 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
You have a Compute Engine managed instance group that adds and removes Compute Engine instances from the group in response to the load on your application. The instances have a shutdown script that removes REDIS database entries associated with the instance. You see that many database entries have not been removed, and you suspect that the shutdown script is the problem. You need to ensure that the commands in the shutdown script are run reliably every time an instance is shut down. You create a Cloud Function to remove the database entries. What should you do next?
Modify the shutdown script to wait for 30 seconds before triggering the Cloud Function.
Do not use the Cloud Function. Modify the shutdown script to restart if it has not completed in 30 seconds.
Set up a Cloud Monitoring sink that triggers the Cloud Function after an instance removal log message arrives in Cloud Logging.
Modify the shutdown script to wait for 30 seconds and then publish a message to a Pub/Sub queue.
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
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 CL 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?
Use Google Cloud Shell in the Google Cloud Console to interact with Google Cloud.
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.
Install gcloud on all of your workstations. Run the command gcloud components auto-update on each workstation
Use a package manager to install gcloud on your workstations instead of installing it manually.
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Your company recently acquired a company that has infrastructure in Google Cloud. Each company has its own Google Cloud organization. Each company is using a Shared Virtual Private Cloud (VPC) to provide network connectivity for its applications. Some of the subnets used by both companies overlap. In order for both businesses to integrate, the applications need to have private network connectivity. These applications are not on overlapping subnets. You want to provide connectivity with minimal re-engineering. What should you do?
Set up VPC peering and peer each Shared VPC together.
Migrate the projects from the acquired company into your company's Google Cloud organization. Re-launch the instances in your companies Shared VPC.
Set up a Cloud VPN gateway in each Shared VPC and peer Cloud VPNs.
Configure SSH port forwarding on each application to provide connectivity between applications in the different Shared VPCs.
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
You are managing several internal applications that are deployed on Compute Engine. Business users inform you that an application has become very slow over the past few days. You want to find the underlying cause in order to solve the problem. What should you do first?
Inspect the logs and metrics from the instances in Cloud Logging and Cloud Monitoring.
Change the Compute Engine Instances behind the application to a machine type with more CPU and memory.
Restore a backup of the application database from a time before the application became slow.
Deploy the applications on a managed instance group with autoscaling enabled. Add a load balancer in front of the managed instance group, and have the users connect to the IP of the load balancer.
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Your company has an application running as a Deployment in a Google Kubernetes Engine (GKE) cluster. When releasing new versions of the application via a rolling deployment, the team has been causing outages. The root cause of the outages is misconfigurations with parameters that are only used in production. You want to put preventive measures for this in the platform to prevent outages. 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.
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
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?
Create a second GKE cluster for the batch workloads only. Allocate the 200 original nodes across both clusters.
Configure a HorizontalPodAutoscaler for all stateless workloads and for all compatible stateful workloads. Configure the cluster to use node auto scaling.
Configure CPU and memory limits on the namespaces in the cluster. Configure all Pods to have a CPU and memory limits.
Change the node pool to use preemptible VMs.
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
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?
1. In the BigQuery dataset that contains all the tables to be queried, add a label for each user that can launch a query. 2. Open the Billing page of the project. 3. Select Reports. 4. Select BigQuery as the product and filter by the user you want to check.
1. Create a Cloud Logging sink to export BigQuery data access logs to BigQuery. 2. Perform a BigQuery query on the generated table to extract the information you need.
1. Create a Cloud Logging sink to export BigQuery data access logs to Cloud Storage. 2. Develop a Dataflow pipeline to compute the cost of queries split by users.
1. Activate billing export into BigQuery. 2. Perform a BigQuery query on the billing table to extract the information you need.
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