Google Professional Cloud Architect (PR000213) Exam Questions Instant Access

Question 1

A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files The database is about to run out of storage space How can you remediate the problem with the least amount of downtime?

AIn the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.

BShut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine.

CIn the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux.

DIn the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk.

EIn the Cloud Platform Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.

Answer : A

On Linux instances, connect to your instance and manually resize your partitions and file systems to use the additional disk space that you added.

Extend the file system on the disk or the partition to use the added space. If you grew a partition on your disk, specify the partition. If your disk does not have a partition table, specify only the disk ID.

sudo resize2fs /dev/[DISK_ID][PARTITION_NUMBER]

where [DISK_ID] is the device name and [PARTITION_NUMBER] is the partition number for the device where you are resizing the file system.

Question 2

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?

AUse the Service Mesh visualization in the Cloud Console to inspect the telemetry between the microservices.

BUse 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.

CUse 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.

DReinstall istio using the default istio profile in order to collect request latency. Evaluate the telemetry between the microservices in the Cloud Console.

Answer : A

The Anthos Service Mesh pages in the Google Cloud Console provide both summary and in-depth metrics, charts, and graphs that enable you to observe service behavior. You can monitor the overall health of your services, or drill down on a specific service to set a service level objective (SLO) or troubleshoot an issue. https://cloud.google.com/service-mesh/docs/observability/explore-dashboard

https://cloud.google.com/anthos/service-mesh

Question 3

You have an application that runs in Google Kubernetes Engine (GKE). Over the last 2 weeks, customers have reported that a specific part of the application returns errors very frequently. You currently have no logging or monitoring solution enabled on your GKE cluster. You want to diagnose the problem, but you have not been able to replicate the issue. You want to cause minimal disruption to the application. What should you do?

A1. Update your GKE cluster to use Cloud Operations for GKE.
2. Use the GKE Monitoring dashboard to investigate logs from affected Pods.

B1. Create a new GKE cluster with Cloud Operations for GKE enabled.
2. Migrate the affected Pods to the new cluster, and redirect traffic for those Pods to the new cluster.
3. Use the GKE Monitoring dashboard to investigate logs from affected Pods.

C1. Update your GKE cluster to use Cloud Operations for GKE, and deploy Prometheus.
2. Set an alert to trigger whenever the application returns an error.

D1. Create a new GKE cluster with Cloud Operations for GKE enabled, and deploy Prometheus.
2. Migrate the affected Pods to the new cluster, and redirect traffic for those Pods to the new cluster.
3. Set an alert to trigger whenever the application returns an error.

Answer : A

Question 4

You are working at a financial institution that stores mortgage loan approval documents on Cloud Storage. Any change to these approval documents must be uploaded as a separate approval file, so you want to ensure that these documents cannot be deleted or overwritten for the next 5 years. What should you do?

ACreate a retention policy on the bucket for the duration of 5 years. Create a lock on the retention policy.

BCreate the bucket with uniform bucket-level access, and grant a service account the role of Object Writer. Use the service account to upload new files.

CUse a customer-managed key for the encryption of the bucket. Rotate the key after 5 years.

DCreate the bucket with fine-grained access control, and grant a service account the role of Object Writer. Use the service account to upload new files.

Answer : A

Question 5

You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend. What should you do?

AWrite a lifecycle management rule in XML and push it to the bucket with gsutil.

BWrite a lifecycle management rule in JSON and push it to the bucket with gsutil.

CSchedule a cron script using gsutil is -lr gs://backups/** to find and remove items older than 90 days.

DSchedule a cron script using gsutil ls -1 gs://backups/** to find and remove items older than 90 days and schedule it with cron.

Answer : B

https://cloud.google.com/storage/docs/gsutil/commands/lifecycle

Question 6

A development team at your company has created a dockerized HTTPS web application. You need to deploy the application on Google Kubernetes Engine (GKE) and make sure that the application scales automatically.

How should you deploy to GKE?

AUse the Horizontal Pod Autoscaler and enable cluster autoscaling. Use an Ingress resource to loadbalance the HTTPS traffic.

BUse the Horizontal Pod Autoscaler and enable cluster autoscaling on the Kubernetes cluster. Use a
Service resource of type LoadBalancer to load-balance the HTTPS traffic.

CEnable autoscaling on the Compute Engine instance group. Use an Ingress resource to load balance the HTTPS traffic.

DEnable autoscaling on the Compute Engine instance group. Use a Service resource of type LoadBalancer to load-balance the HTTPS traffic.

Answer : B

https://cloud.google.com/kubernetes-engine/docs/tutorials/http-balancer

https://cloud.google.com/kubernetes-engine/docs/concepts/network-overview#ext-lb

Question 7

Your company sends all Google Cloud logs to Cloud Logging. Your security team wants to monitor the logs. You want to ensure that the security team can react quickly if an anomaly such as an unwanted firewall change or server breach is detected. You want to follow Google-recommended practices. What should you do?

ASchedule a cron job with Cloud Scheduler. The scheduled job queries the logs every minute for the relevant events.

BExport logs to BigQuery, and trigger a query in BigQuery to process the log data for the relevant events.

CExport logs to a Pub/Sub topic, and trigger Cloud Function with the relevant log events.

DExport logs to a Cloud Storage bucket, and trigger Cloud Run with the relevant log events.

Answer : C

https://cloud.google.com/blog/products/management-tools/automate-your-response-to-a-cloud-logging-event

Google Cloud Architect Professional Professional Cloud Architect (PR000213) Exam Questions