Free Access Google.Professional-Cloud-Architect.v2022-08-15.q243 Practice Test (Page 12)

Question 51

A development manager is building a new application He asks you to review his requirements and identify what cloud technologies he can use to meet them.
The application must:
1. Be based on open-source technology for cloud portability
2. Dynamically scale compute capacity based on demand
3. Support continuous software delivery
4. Run multiple segregated copies of the same application stack
5. Deploy application bundles using dynamic templates
6. Route network traffic to specific services based on URL
Which combination of technologies will meet all of his requirements?

A.Google Container Engine, Jenkins, and Helm

B.Google Container Engine and Cloud Load Balancing

C.Google Compute Engine and Cloud Deployment Manager

D.Google Compute Engine, Jenkins, and Cloud Load Balancing

Question 52

Your customer is receiving reports that their recently updated Google App Engine application is taking approximately 30 seconds to load for some of their users. This behavior was not reported before the update.
What strategy should you take?

A.Work with your ISP to diagnose the problem

B.Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back your application

C.Roll back to an earlier known good release initially, then use Stackdriver Trace and Logging to diagnose the problem in a development/test/staging environment

D.Roll back to an earlier known good release, then push the release again at a quieter period to investigate.
Then use Stackdriver Trace and Logging to diagnose the problem

Question 53

For this question, refer to the TerramEarth case study.
TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately when a vehicle in the development team to focus their failure. You want to allow analysts to centrally query the vehicle dat a. Which architecture should you recommend?
A)

A.Option A

B.Option B

C.Option C

D.Option D

Question 54

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

Question 55

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.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.

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

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

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

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