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Passing the Google Professional-Cloud-Architect Exam is a great way to demonstrate your expertise in using GCP to design and manage cloud solutions. With this certification, you can show potential employers that you have the skills needed to design and implement complex cloud architectures using GCP. Google Certified Professional - Cloud Architect (GCP) certification can also lead to new career opportunities and higher salaries.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q158-Q163):

NEW QUESTION # 158
You have an application deployed on Kubernetes Engine using a Deployment named echo-deployment. The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?

A. Update the deployment yaml file with the new container image. Use kubectl delete deployment/ echo-deployment and kubectl create -f <yaml-file>
B. Use kubectl set image deployment/echo-deployment <new-image>
C. Update the service yaml file which the new container image. Use kubectl delete service/echoservice and kubectl create -f <yaml-file>
D. Use the rolling update functionality of the Instance Group behind the Kubernetes cluster

Answer: D

Explanation:
Reference: https://cloud.google.com/kubernetes-engine/docs/how-to/updating-apps
https://cloud.google.com/kubernetes-engine/docs/tutorials/hello-app

NEW QUESTION # 159
The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud. Which three practices should you recommend? Choose 3 answers

A. Port the application code to run on Google App Engine.
B. Deploy a continuous integration tool with automated testing in a staging environment.
C. Select an automation framework to reliably provision the cloud infrastructure.
D. Instrument the application with a monitoring tool like Stackdriver Debugger.
E. Integrate Cloud Dataflow into the application to capture real-time metrics.
F. Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable.

Answer: A,B,C

Explanation:
Explanation
References: https://cloud.google.com/appengine/docs/standard/java/tools/uploadinganapp
https://cloud.google.com/appengine/docs/standard/java/building-app/cloud-sql

NEW QUESTION # 160
Your company acquired a healthcare startup and must retain its customers' medical information for up to 4 more years, depending on when it was created. Your corporate policy is to securely retain this data, and then delete it as soon as regulations allow.
Which approach should you take?

A. Store the data in Google Drive and manually delete records as they expire.
B. Store the data using the Cloud Storage and use lifecycle management to delete files when they expire.
C. Store the data in Cloud Storage and run a nightly batch script that deletes all expired datA.
D. Anonymize the data using the Cloud Data Loss Prevention API and store it indefinitely.

Answer: B

Explanation:
https://cloud.google.com/storage/docs/lifecycle

NEW QUESTION # 161
You are migrating third-party applications from optimized on-premises virtual machines to Google Cloud. You are unsure about the optimum CPU and memory options. The application have a consistent usage patterns across multiple weeks. You want to optimize resource usage for the lowest cost. What should you do?

A. Create a Compute engine instance with CPU and Memory options similar to your application's current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application. Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console
B. Create multiple Compute Engine instances with varying CPU and memory options. Install the cloud monitoring agent and deploy the third-party application on each of them. Run a load test with high traffic levels on the application and use the results to determine the optimal settings.
C. Create an App Engine flexible environment, and deploy the third party application using a Docker file and a custom runtime. Set CPU and memory options similar to your application's current on-premises virtual machine in the app.yaml file.
D. Create an instance template with the smallest available machine type, and use an image of the third party application taken from the current on-premises virtual machine. Create a managed instance group that uses average CPU to autoscale the number of instances in the group. Modify the average CPU utilization threshold to optimize the number of instances running.

Answer: A

Explanation:
Create a Compute engine instance with CPU and Memory options similar to your application's current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application. Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console
https://cloud.google.com/migrate/compute-engine/docs/4.9/concepts/planning-a-migration/cloud-instance-rightsizing?hl=en

NEW QUESTION # 162
You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours. Not all users have a Google Account. How should you have users upload images?

A. Have users upload the images to Cloud Storage. Protect the bucket with a password that expires after 24 hours.
B. Have users upload the images to Cloud Storage using a signed URL that expires after 24 hours.
C. Create an App Engine web application where users can upload images. Configure App Engine to disable the application after 24 hours. Authenticate users via Cloud Identity.
D. Create an App Engine web application where users can upload images for the next 24 hours. Authenticate users via Cloud Identity.

Answer: B

Explanation:
Explanation/Reference:

NEW QUESTION # 163
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