Google Cloud Digital Leader Cloud Digital Leader Dumps in PDF

Free Google Cloud Digital Leader Real Questions (page: 13)

Your organization needs to ensure that the Google Cloud resources of each of your departments are segregated from one another. Each department has several environments of its own: development, testing, and production.
Which strategy should your organization choose?

  1. Create a project per department, and create a folder per environment in each project.
  2. Create a folder per department, and create a project per environment in each folder.
  3. Create a Cloud Identity domain per department, and create a project per environment in each domain.
  4. Create a Cloud Identity domain per environment, and create a project per department in each domain.

Answer(s): B


Reference:

https://cloud.google.com/resource-manager/docs/creating-managing-folders
https://stackoverflow.com/questions/59460623/how-to-create-a-folder-a-project-under-it-with-deployment-manager-google-cloud



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?

  1. Create a single project for all environments. Use labels to segregate resources by environment.
  2. Create a single project for all environments. Use tags to segregate resources by environment.
  3. Create one project for the development environment and one project for the production environment.
  4. Create two projects for the development environment and two projects for the production environment (one for each region).

Answer(s): C

Explanation:

Many organizations have separate development and production environments so they can build and test new features without disturbing production traffic. In Optimizely, you can create separate projects for each environment to help with governance. With separate development and production projects, your organization can safely build and QA experiments and Personalization campaigns in a development environment before deploying to production. This approach allows multiple stakeholders in your organization to act as gatekeepers for running new experiments in production.

Reference link- https://support.optimizely.com/hc/en-us/articles/4410284353805-Set-up-projects- for-development-and-production-environments



Your organization meant to purchase a 3-year Committed Use Discount, but accidentally purchased a 1-year Committed Use Discount instead.
What should your organization do?

  1. Contact your financial institution.
  2. Contact Trust and Safety.
  3. Contact Cloud Billing Support.
  4. Contact Technical Support.

Answer(s): C

Explanation:



https://cloud.google.com/compute/docs/instances/signing-up-committed-use-discounts



Your organization needs to allow a production job to have access to a BigQuery dataset. The production job is running on a Compute Engine instance that is part of an instance group.

What should be included in the IAM Policy on the BigQuery dataset?

  1. The Compute Engine instance group
  2. The project that owns the Compute Engine instance
  3. The Compute Engine service account
  4. The Compute Engine instance

Answer(s): C

Explanation:

When an identity calls a Google Cloud API, BigQuery requires that the identity has the appropriate permissions to use the resource. You can grant permissions by granting roles to a user, a group, or a service account.

Reference link- https://cloud.google.com/bigquery/docs/access-control



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?

  1. Use a Cloud Storage bucket and enable "Requester Pays.'
  2. Use a Cloud Storage bucket and provide Signed URLs for the data files.
  3. Use a Cloud Storage bucket and set up a Cloud Interconnect connection to allow access to the data.
  4. Host the data on-premises. and set up a Cloud Interconnect connection to allow access to the data.

Answer(s): A

Explanation:

Enabling Requester Pays is useful, for example, if you have a lot of data you want to make available to users, but you don't want to be charged for their access to that data.

Reference link- https://cloud.google.com/storage/docs/requester-pays



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