Free CLOUD-DIGITAL-LEADER Exam Braindumps (page: 16)

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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?

  1. Compute Engine and Filestore
  2. Artifact Registry and Cloud Storage
  3. Dataflow and BigQuery
  4. Pub/Sub and Cloud Storage

Answer(s): A


Reference:

https://cloud.google.com/compute/docs/import/importing-virtual-disks



Your company security team manages access control to production systems using an LDAP directory group.

How is this access control managed in the Google Cloud production project?

  1. Assign the proper role to the Service Account in the project's IAM Policy
  2. Grant each user the roles/iam.serviceAccountUser role on a service account that exists in the Google Group.
  3. Assign the proper role to the Google Group in the project's IAM Policy.
  4. Create the project in a folder with the same name as the LDAP directory group.

Answer(s): C


Reference:

https://cloud.google.com/blog/products/identity-security/achieving-identity-and-access- governance-on-google-cloud



Your organization wants to be sure that is expenditures on cloud services are in line with the budget.
Which two Google Cloud cost management features help your organization gain greater visibility into its cloud resource costs? (Choose two.)

  1. Billing dashboards
  2. Resource labels
  3. Sustained use discounts
  4. Financial governance policies
  5. Payments profile

Answer(s): A,B

Explanation:

A label is a key-value pair that helps you organize your Google Cloud resources. You can attach a label to each resource, then filter the resources based on their labels. Information about labels is forwarded to the billing system, so you can break down your billed charges by label.

Reference link- https://cloud.google.com/cost-management



Your organization needs to process large amounts of data from an online application that operates continuously. You do not want to be required to provision infrastructure or create server clusters.
What should your organization choose?

  1. Compute Engine with BigQuery
  2. Dataproc
  3. Google Kubernetes Engine with Cloud Bigtable
  4. Dataflow

Answer(s): D

Explanation:

You do not want to be required to provision infrastructure or create server clusters. Because Unified stream and batch data processing that's serverless, fast, and cost-effective.
Reference link- https://cloud.google.com/dataflow






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