Google CDL #2

Front

Your organization is defining the resource hierarchy for its new application in Google Cloud. You need separate development and production environments. The production environment will be deployed in Compute Engine in two regions. Which structure should your organization choose?

Back

Create one project for the development environment and one project for the production environment.

Front

Your team is publishing research results and needs to make large amounts of data available to other researchers within the professional community and the public at minimum cost. How should you host the data?

Back

Use a Cloud Storage bucket and enable “Requester Pays”

Front

Your company needs to segment Google Cloud resources used by each team from the others. The teams' efforts are changing frequently, and you need to reduce operational risk and maintain cost visibility. Which approach does Google recommend?

Back

One top-level folder per team

Front

Your organization needs to minimize how much it pays for data traffic from the Google network to the internet. What should your organization do?

Back

Choose the Standard network service tier

Front

Your organization wants to migrate your on-premises environment to Google Cloud. The on-premises environment consists of containers and virtual machine instances. Which Google Cloud products can help to migrate the container images and the virtual machine disks?

Back

Artifact Registry and Cloud Storage

Front

How is access control managed in the Google Cloud production project using an LDAP directory group? Options: Assign the proper role to the Service Account in the project's IAM Policy, Grant each user the roles/iam.serviceAccountUser role on a service account that exists in the Google Group, Assign the proper role to the Google Group in the project's IAM Policy, Create the project in a folder with the same name as the LDAP directory group.

Back

Assign the proper role to the Google Group in the project's IAM Policy

Front

What should your organization choose to process large amounts of data from an online application that operates continuously without provisioning infrastructure or creating server clusters? Options: Compute Engine with BigQuery, Dataproc, Google Kubernetes Engine with Cloud Bigtable, Dataflow

Back

Dataflow

Front

Your organization recently migrated its compute workloads to Google Cloud. You want these workloads in Google Cloud to privately and securely access your large volume of on-premises data, and you also want to minimize latency. What should your organization do?

Back

Create a VPC between your on-premises data center and your Google resources

Front

An organization is searching for an open-source machine learning platform to build and deploy their own custom machine learning applications using TPUs. Which Google Cloud product or service should the organization use?

Back

TensorFlow

Front

An organization has servers running mission-critical workloads on-premises around the world. They want to modernize their infrastructure with a multi-cloud architecture. What benefit could the organization experience?

Back

Reduced likelihood of system failure during high demand events