Online Access Free Google.Professional-Cloud-Architect.v2024-01-19.q131 Practice Test (Page 17)

Professional-Cloud-Architect Exam Question 76

Your company has an application running on multiple Compute Engine instances. You need to ensure that the application can communicate with an on-premises service that requires high throughput via internal IPs, while minimizing latency. What should you do?

A.Use OpenVPN to configure a VPN tunnel between the on-premises environment and Google Cloud.

B.Configure a direct peering connection between the on-premises environment and Google Cloud.

C.Use Cloud VPN to configure a VPN tunnel between the on-premises environment and Google Cloud.

D.Configure a Cloud Dedicated Interconnect connection between the on-premises environment and Google Cloud.

Professional-Cloud-Architect Exam Question 77

For this question, refer to the Mountkirk Games case study. Which managed storage option meets Mountkirk's technical requirement for storing game activity in a time series database service?

A.Cloud Bigtable

B.Cloud Spanner

C.BigQuery

D.Cloud Datastore

Professional-Cloud-Architect Exam Question 78

Your company captures all web traffic data in Google Analytics 260 and stores it in BigQuery. Each country has its own dataset. Each dataset has multiple tables. You want analysts from each country to be able to see and query only the data for their respective countries.
How should you configure the access rights?

A.Create a group per country. Add analysts to their respective country-groups. Create a single group
'all_analysts', and add all country-groups as members. Grant the 'all-analysis' group the IAM role of BigQuery jobUser. Share the appropriate dataset with view access with each respective analyst country-group.

B.Create a group per country. Add analysts to their respective country-groups. Create a single group
'all_analysts', and add all country-groups as members. Grant the 'all-analysis' group the IAM role of BigQuery dataViewer. Share the appropriate dataset with view access with each respective analyst country-group.

C.Create a group per country. Add analysts to their respective country-groups. Create a single group
'all_analysts', and add all country-groups as members. Grant the 'all-analysis' group the IAM role of BigQuery dataViewer. Share the appropriate table with view access with each respective analyst countrygroup.

D.Create a group per country. Add analysts to their respective country-groups. Create a single group
'all_analysts', and add all country-groups as members. Grant the 'all-analysis' group the IAM role of BigQuery jobUser. Share the appropriate tables with view access with each respective analyst countrygroup.

Professional-Cloud-Architect Exam Question 79

For this question, refer to the TerramEarth case study.
TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to 20 million 600 byte records a second for 40 TB an hour. How should you design the data ingestion?

A.Vehicles write data directly to GCS.

B.Vehicles write data directly to Google Cloud Pub/Sub.

C.Vehicles stream data directly to Google BigQuery.

D.Vehicles continue to write data using the existing system (FTP).

Professional-Cloud-Architect Exam Question 80

You are moving an application that uses MySQL from on-premises to Google Cloud. The application will run on Compute Engine and will use Cloud SQL. You want to cut over to the Compute Engine deployment of the application with minimal downtime and no data loss to your customers. You want to migrate the application with minimal modification. You also need to determine the cutover strategy. What should you do?

A.1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2.Stop the on-premises application.
3.Create a mysqldump of the on-premises MySQL server.
4.Upload the dump to a Cloud Storage bucket.
5.Import the dump into Cloud SQL.
6.Modify the source code of the application to write queries to both databases and read from its local database.
7.Start the Compute Engine application.
8.Stop the on-premises application.

B.1. Set up Cloud SQL proxy and MySQL proxy.
2.Create a mysqldump of the on-premises MySQL server.
3.Upload the dump to a Cloud Storage bucket.
4.Import the dump into Cloud SQL.
5.Stop the on-premises application.
6.Start the Compute Engine application.

C.1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2.Stop the on-premises application.
3.Start the Compute Engine application, configured to read and write to the on-premises MySQL server.
4.Create the replication configuration in Cloud SQL.
5.Configure the source database server to accept connections from the Cloud SQL replica.
6.Finalize the Cloud SQL replica configuration.
7.When replication has been completed, stop the Compute Engine application.
8.Promote the Cloud SQL replica to a standalone instance.
9.Restart the Compute Engine application, configured to read and write to the Cloud SQL standalone instance.

D.1. Stop the on-premises application.
2.Create a mysqldump of the on-premises MySQL server.
3.Upload the dump to a Cloud Storage bucket.
4.Import the dump into Cloud SQL.
5.Start the application on Compute Engine.

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Professional-Cloud-Architect Exam Question 76

Professional-Cloud-Architect Exam Question 77

Professional-Cloud-Architect Exam Question 78

Professional-Cloud-Architect Exam Question 79

Professional-Cloud-Architect Exam Question 80

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