You are a developer working with the CI/CD team to troubleshoot a new feature that your team introduced. The CI/CD team used HashiCorp Packer to create a new Compute Engine image from your development branch. The image was successfully built, but is not booting up. You need to investigate the issue with the CI/CD team. What should you do?

• A.Shut down the deployed virtual machine, export the disk, and then mount the disk locally to access the boot logs.
• B.Install Packer locally, build the Compute Engine image locally, and then run it in your personal Google Cloud project.
• C.Create a new feature branch, and ask the build team to rebuild the image.
• D.Check Compute Engine OS logs using the serial port, and check the Cloud Logging logs to confirm access to the serial port.

Comment: *

Name: *

Email: *

Verification: *

You have an application written in Python running in production on Cloud Run. Your application needs to read/write data stored in a Cloud Storage bucket in the same project. You want to grant access to your application following the principle of least privilege. What should you do?

• A.Create a user-managed service account with a custom Identity and Access Management (IAM) role.
• B.Create a user-managed service account with the Storage Admin Identity and Access Management (IAM) role.
• C.Create a user-managed service account with the Project Editor Identity and Access Management (IAM) role.
• D.Use the default service account linked to the Cloud Run revision in production.

Comment: *

Name: *

Email: *

Verification: *

Your website is deployed on Compute Engine. Your marketing team wants to test conversion rates between 3 different website designs.
Which approach should you use?

• A.Deploy the website on App Engine and use traffic splitting.
• B.Deploy the website on App Engine as three separate services.
• C.Deploy the website on Cloud Functions and use traffic splitting.
• D.Deploy the website on Cloud Functions as three separate functions.

Comment: *

Name: *

Email: *

Verification: *

Your teammate has asked you to review the code below. Its purpose is to efficiently add a large number of small rows to a BigQuery table.

Which improvement should you suggest your teammate make?

• A.Include multiple rows with each request.
• B.Write each row to a Cloud Storage object in parallel, then load into BigQuery.
• C.Write each row to a Cloud Storage object, then load into BigQuery.
• D.Perform the inserts in parallel by creating multiple threads.

Comment: *

Name: *

Email: *

Verification: *

You recently migrated an on-premises monolithic application to a microservices application on Google Kubernetes Engine (GKE). The application has dependencies on backend services on-premises, including a CRM system and a MySQL database that contains personally identifiable information (PII). The backend services must remain on-premises to meet regulatory requirements.
You established a Cloud VPN connection between your on-premises data center and Google Cloud. You notice that some requests from your microservices application on GKE to the backend services are failing due to latency issues caused by fluctuating bandwidth, which is causing the application to crash. How should you address the latency issues?

• A.Use Memorystore to cache frequently accessed PII data from the on-premises MySQL database
• B.Use Istio to create a service mesh that includes the microservices on GKE and the on-premises services
• C.Increase the number of Cloud VPN tunnels for the connection between Google Cloud and the on-premises services
• D.Decrease the network layer packet size by decreasing the Maximum Transmission Unit (MTU) value from its default value on Cloud VPN

Comment: *

Name: *

Email: *

Verification: *