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Free CLOUD-DIGITAL-LEADER Exam Braindumps (page: 8)

Page 7 of 104
PDF with 411 Questions

Your organization is developing a mobile app and wants to select a fully featured cloud-based compute platform for it.
Which Google Cloud product or feature should your organization use?

  1. Google Kubernetes Engine
  2. Firebase
  3. Cloud Functions
  4. App Engine

Answer(s): B


Reference:

https://cloud.google.com/appengine

Firebase is Google's mobile development platform that empowers you to quickly build and grow your app



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






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