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Google Cloud Digital Leader Cloud Digital Leader Dumps in PDF

Free Google Cloud Digital Leader Real Questions (page: 6)

Cloud Digital Leader PDF — 414 Questions

Your team has developed a machine learning model for your customer. The test results indicate very strong predictive capability. The model is then deployed in production. Evaluation of the predictions in production show that they are off by a pronounced margin.
What is the issue and how can you solve for it?

  1. The model is under fitted. Train with less data.
  2. The model is over fitted. Add more features to the model to fix it.
  3. The model is fine since the test results are good. Fix the production of incoming data.
  4. The model is overfitted. Train with more data.

Answer(s): D

Explanation:

If our ML model does well on the training set than on the production set, then we're likely over fitting. Training with more data would be one solution.



Your large and frequently changing organization's user information is stored in an on-premises LDAP database. The database includes user passwords and group and organization membership. How should your organization provision Google accounts and groups to access Google Cloud resources?

  1. Replicate the LDAP infrastructure on Compute Engine
  2. Use the Firebase Authentication REST API to create users
  3. Use Google Cloud Directory Sync to create users
  4. Use the Identity Platform REST API to create users

Answer(s): C

Explanation:

You can run a single instance of Google Cloud Directory Sync to synchronize user accounts and groups to Google Cloud.


Reference:

https://cloud.google.com/architecture/identity/federating-gcp-with-active-directory- introduction



https://support.google.com/a/answer/106368?hl=en



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?

  1. Use Storage Transfer Service to securely make your data available to Google Cloud
  2. Create a VPC between your on-premises data center and your Google resources
  3. Peer your on-premises data center to Google's Edge Network
  4. Use Transfer Appliance to securely make your data available to Google Cloud

Answer(s): C

Explanation:

https://cloud.google.com/network-connectivity/docs/direct-peering



Your organization consists of many teams. Each team has many Google Cloud projects. Your organization wants to simplify the management of identity and access policies for these projects.
How can you group these projects to meet this goal?

  1. Group each team's projects into a separate domain
  2. Assign labels based on the virtual machines that are part of each team's projects
  3. Use folders to group each team's projects
  4. Group each team's projects into a separate organization node

Answer(s): C

Explanation:

https://cloud.google.com/resource-manager/docs/creating-managing-folders



Your organization needs to restrict access to a Cloud Storage bucket. Only employees who are based in Canada should be allowed to view the contents.
What is the most effective and efficient way to satisfy this requirement?

  1. Deploy the Cloud Storage bucket to a Google Cloud region in Canada
  2. Configure Google Cloud Armor to allow access to the bucket only from IP addresses based in Canada
  3. Give each employee who is based in Canada access to the bucket
  4. Create a group consisting of all Canada-based employees, and give the group access to the bucket

Answer(s): D


Reference:

https://cloud.google.com/storage/docs/access-control

Because you can use your own private VPN to access the Canada-only bucket from anywhere in the world.



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