Question No. 1

You company has a Kubernetes application that pulls messages from Pub/Sub and stores them in Firestore. Because the application is simple, it was deployed as a single pod. The infrastructure team has analyzed Pub/Sub metrics and discovered that the application cannot process the messages in real time. Most of them wait for minutes before being processed. You need to scale the elaboration process that is I/O-intensive. What should you do?

AConfigure a Kubernetes autoscaling based on the subscription/push_request metric.

BUse the --enable- autoscaling flag when you create the Kubernetes cluster

CConfigure a Kubernetes autoscaling based on the subscription/num_undelivered message metric.

DUse kubectl autoscale deployment APP_NAME --max 6 --min 2 --cpu- percent 50 to configure Kubernetes autoscaling deployment

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Correct Answer: A

https://cloud.google.com/kubernetes-engine/docs/concepts/custom-and-external-metrics#external_metrics

Question No. 2

For this question, refer to the TerramEarth case study. TerramEarth has decided to store data files in Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and minimize file storage cost.

Which two actions should you take?

ACreate a Cloud Storage lifecycle rule with Age: ''30'', Storage Class: ''Standard'', and Action: ''Set to Coldline'', and create a second GCS life-cycle rule with Age: ''365'', Storage Class: ''Coldline'', and Action: ''Delete''.

BCreate a Cloud Storage lifecycle rule with Age: ''30'', Storage Class: ''Coldline'', and Action: ''Set to Nearline'', and create a second GCS life-cycle rule with Age: ''91'', Storage Class: ''Coldline'', and Action: ''Set to Nearline''.

CCreate a Cloud Storage lifecycle rule with Age: ''90'', Storage Class: ''Standard'', and Action: ''Set to Nearline'', and create a second GCS life-cycle rule with Age: ''91'', Storage Class: ''Nearline'', and Action: ''Set to Coldline''.

DCreate a Cloud Storage lifecycle rule with Age: ''30'', Storage Class: ''Standard'', and Action: ''Set to Coldline'', and create a second GCS life-cycle rule with Age: ''365'', Storage Class: ''Nearline'', and Action: ''Delete''.

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Correct Answer: A

Question No. 3

For this question, refer to the Dress4Win case study. Which of the compute services should be migrated as --is and would still be an optimized architecture for performance in the cloud?

AWeb applications deployed using App Engine standard environment

BRabbitMQ deployed using an unmanaged instance group

CHadoop/Spark deployed using Cloud Dataproc Regional in High Availability mode

DJenkins, monitoring, bastion hosts, security scanners services deployed on custom machine types

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Correct Answer: C

Question No. 4

Your company has a stateless web API that performs scientific calculations. The web API runs on a single Google Kubernetes Engine (GKE) cluster. The cluster is currently deployed in us-central1. Your company has expanded to offer your API to customers in Asi

a. You want to reduce the latency for the users in Asia. What should you do?

AUse a global HTTP(s) load balancer with Cloud CDN enabled

BCreate a second GKE cluster in asia-southeast1, and expose both API's using a Service of
type Load Balancer. Add the public Ips to the Cloud DNS zone

CIncrease the memory and CPU allocated to the application in the cluster

DCreate a second GKE cluster in asia-southeast1, and use kubemci to create a global HTTP(s) load balancer

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Correct Answer: D

https://cloud.google.com/kubernetes-engine/docs/concepts/multi-cluster-ingress#how_works

https://github.com/GoogleCloudPlatform/k8s-multicluster-ingress

https://cloud.google.com/blog/products/gcp/how-to-deploy-geographically-distributed-services-on-kubernetes-engine-with-kubemci

Question No. 5

Dress4win has end to end tests covering 100% of their endpoints.

They want to ensure that the move of cloud does not introduce any new bugs.

Which additional testing methods should the developers employ to prevent an outage?

AThey should run the end to end tests in the cloud staging environment to determine if the code is working as
intended.

BThey should enable google stack driver debugger on the application code to show errors in the code

CThey should add additional unit tests and production scale load tests on their cloud staging environment.

DThey should add canary tests so developers can measure how much of an impact the new release causes to latency

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Correct Answer: B

Free Google Professional-Cloud-Architect Exam Actual Questions

The questions for Professional-Cloud-Architect were last updated On Jan 19, 2025