Online Access Free Google.Professional-Cloud-Architect.v2023-07-19.q108 Practice Test (Page 19)

Professional-Cloud-Architect Exam Question 86

You want your Google Kubernetes Engine cluster to automatically add or remove nodes based on CPUload. What should you do?

A.Configure a HorizontalPodAutoscaler with a target CPU usage. Enable autoscaling on the managed instance group for the cluster using the gcloud command.

B.Create a deployment and set the maxUnavailable and maxSurge properties. Enable autoscaling on the cluster managed instance group from the GCP Console.

C.Create a deployment and set the maxUnavailable and maxSurge properties. Enable the Cluster Autoscaler using the gcloud command.

D.Configure a HorizontalPodAutoscaler with a target CPU usage. Enable the Cluster Autoscaler from the GCP Console.

Professional-Cloud-Architect Exam Question 87

Your team is developing a web application that will be deployed on Google Kubernetes Engine (GKE). Your CTO expects a successful launch and you need to ensure your application can handle the expected load of tens of thousands of users. You want to test the current deployment to ensure the latency of your application stays below a certain threshold. What should you do?

A.Use Cloud Debugger in the development environment to understand the latency between the different microservices.

B.Use a load testing tool to simulate the expected number of concurrent users and total requests to your application, and inspect the results.

C.Replicate the application over multiple GKE clusters in every Google Cloud region. Configure a global HTTP (S) load balancer to expose the different clusters over a single global IP address.

D.Enable autoscaling on the GKE cluster and enable horizontal pod autoscaling on your application deployments. Send curl requests to your application, and validate if the auto scaling works.

Professional-Cloud-Architect Exam Question 88

You want to allow your operations learn to store togs from all the production protects in your Organization, without during logs from other projects All of the production projects are contained in a folder. You want to ensure that all logs for existing and new production projects are captured automatically. What should you do?

A.Create log exports in the production projects. Set the log sinks to be a Cloud Storage bucket in an operations project.

B.Create an aggregated export on the Production folder. Set the log sink to be a Cloud Storage bucket in an operations project

C.Create an aggregated export on the Organization resource. Set the tog sink to be a Cloud Storage bucket in an operations project.

D.Create tog exports in the production projects. Set the tog sinks to be BigQuery datasets in the production projects and grant IAM access to the operations team to run queries on the datasets

Professional-Cloud-Architect Exam Question 89

Your customer runs a web service used by e-commerce sites to offer product recommendations to users. The company has begun experimenting with a machine learning model on Google Cloud Platform to improve the quality of results.
What should the customer do to improve their model's results over time?

A.Export Cloud Machine Learning Engine performance metrics from Stackdriver to BigQuery, to be used to analyze the efficiency of the model.

B.Build a roadmap to move the machine learning model training from Cloud GPUs to Cloud TPUs, which offer better results.

C.Monitor Compute Engine announcements for availability of newer CPU architectures, and deploy the model to them as soon as they are available for additional performance.

D.Save a history of recommendations and results of the recommendations in BigQuery, to be used as training data.

Professional-Cloud-Architect Exam Question 90

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?

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

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

C.In 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.

D.In 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.

E.In 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.

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Professional-Cloud-Architect Exam Question 86

Professional-Cloud-Architect Exam Question 87

Professional-Cloud-Architect Exam Question 88

Professional-Cloud-Architect Exam Question 89

Professional-Cloud-Architect Exam Question 90

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