Professional-Cloud-Developer Exam Dumps - Google Certified Professional - Cloud Developer

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Question # 25

You configured your Compute Engine instance group to scale automatically according to overall CPU usage. However, your applicationâ€™s response latency increases sharply before the cluster has finished adding up instances. You want to provide a more consistent latency experience for your end users by changing the configuration ot the instance group autoscaler. Which two configuration changes should you make? (Choose two.)

Add the label â€œAUTOSCALEâ€ to the instance group template.

Decrease the cool-down period for instances added to the group.

Increase the target CPU usage for the instance group autoscaler.

Decrease the target CPU usage for the instance group autoscaler.

Remove the health-check for individual VMs in the instance group.

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Question # 26

You are developing an application that will store and access sensitive unstructured data objects in a Cloud Storage bucket. To comply with regulatory requirements, you need to ensure that all data objects are available for at least 7 years after their initial creation. Objects created more than 3 years ago are accessed very infrequently (less than once a year). You need to configure object storage while ensuring that storage cost is optimized. What should you do? (Choose two.)

Set a retention policy on the bucket with a period of 7 years.

Use IAM Conditions to provide access to objects 7 years after the object creation date.

Enable Object Versioning to prevent objects from being accidentally deleted for 7 years after object creation.

Create an object lifecycle policy on the bucket that moves objects from Standard Storage to Archive Storage after 3 years.

Implement a Cloud Function that checks the age of each object in the bucket and moves the objects older than 3 years to a second bucket with the Archive Storage class. Use Cloud Scheduler to trigger the Cloud Function on a daily schedule.

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Question # 27

You are a developer at a large organization Your team uses Git for source code management (SCM). You want to ensure that your team follows Google-recommended best practices to manage code to drive higher rates of software delivery. Which SCM process should your team use?

Each developer commits their code to the main branch before each product release, conducts testing, and rolls back if integration issues are detected.

Each group of developers copies the repository, commits their changes to their repository, and merges their code into the main repository before each product release.

Each developer creates a branch for their own work, commits their changes to their branch, and merges their code into the main branch daily.

Each group of developers creates a feature branch from the main branch for their work, commits their changes to their branch, and merges their code into the main branch after the change advisory board approves it.

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Question # 28

You are porting an existing Apache/MySQL/PHP application stack from a single machine to Google Kubernetes Engine. You need to determine how to containerize the application. Your approach should follow Google-recommended best practices for availability. What should you do?

Package each component in a separate container. Implement readiness and liveness probes.

Package the application in a single container. Use a process management tool to manage each component.

Package each component in a separate container. Use a script to orchestrate the launch of the components.

Package the application in a single container. Use a bash script as an entrypoint to the container, and then spawn each component as a background job.

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Question # 29

Your web application is deployed to the corporate intranet. You need to migrate the web application to Google Cloud. The web application must be available only to company employees and accessible to employees as they travel. You need to ensure the security and accessibility of the web application while minimizing application changes. What should you do?

Configure the application to check authentication credentials for each HTTP(S) request to the application.

Configure Identity-Aware Proxy to allow employees to access the application through its public IP address.

Configure a Compute Engine instance that requests users to log in to their corporate account. Change the web application DNS to point to the proxy Compute Engine instance. After authenticating, the Compute Engine instance forwards requests to and from the web application.

Configure a Compute Engine instance that requests users to log in to their corporate account. Change the web application DNS to point to the proxy Compute Engine instance. After authenticating, the Compute Engine issues an HTTP redirect to a public IP address hosting the web application.

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Question # 30

Your application is running in multiple Google Kubernetes Engine clusters. It is managed by a Deployment in each cluster. The Deployment has created multiple replicas of your Pod in each cluster. You want to view the logs sent to stdout for all of the replicas in your Deployment in all clusters. Which command should you use?

kubectl logs [PARAM]

gcloud logging read [PARAM]

kubectl exec â€“it [PARAM] journalctl

gcloud compute ssh [PARAM] â€“-command= â€œsudo journalctlâ€

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Question # 31

Your company is planning to migrate their on-premises Hadoop environment to the cloud. Increasing storage cost and maintenance of data stored in HDFS is a major concern for your company. You also want to make minimal changes to existing data analytics jobs and existing architecture. How should you proceed with the migration?

Migrate your data stored in Hadoop to BigQuery. Change your jobs to source their information from BigQuery instead of the on-premises Hadoop environment.

Create Compute Engine instances with HDD instead of SSD to save costs. Then perform a full migration of your existing environment into the new one in Compute Engine instances.

Create a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop environment to the new Cloud Dataproc cluster. Move your HDFS data into larger HDD disks to save on storage costs.

Create a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop code objects to the new cluster. Move your data to Cloud Storage and leverage the Cloud Dataproc connector to run jobs on that data.

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Question # 32

You need to deploy a new European version of a website hosted on Google Kubernetes Engine. The current and new websites must be accessed via the same HTTP(S) load balancer's external IP address, but have different domain names. What should you do?

Define a new Ingress resource with a host rule matching the new domain

Modify the existing Ingress resource with a host rule matching the new domain

Create a new Service of type LoadBalancer specifying the existing IP address as the loadBalancerIP

Generate a new Ingress resource and specify the existing IP address as the kubernetes.io/ingress.global-static-ip-name annotation value

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