Free CLOUD-DIGITAL-LEADER Exam Braindumps (page: 48)

Page 47 of 104

Which of the following is / are true for Preemptible Instances.

  1. Preemptible Instances have no Service Level Agreement (Compute Engine SLA).
  2. Google Cloud Free Tier credits for compute engine do not apply to preemptible in-stances.
  3. Preemptible instances can't live migrate to a regular VM instance, or be set to au-tomatically restart when there is a maintenance event.
  4. All of the above.

Answer(s): D

Explanation:

Preemptible instances function like normal instances but have the following limitations:
-> Compute Engine might stop preemptible instances at any time due to system events. The probability that Compute Engine will stop a preemptible instance for a system event is generally low, but might vary from day to day and from zone to zone depending on current conditions.

-> Compute Engine always stops preemptible instances after they run for 24 hours. Certain actions reset this 24-hour counter.

-> Preemptible instances are finite Compute Engine resources, so they might not always be available.

-> Preemptible instances can't live migrate to a regular VM instance, or be set to automatically restart when there is a maintenance event.

-> Due to the above limitations, preemptible instances are not covered by any Service Level Agreement (and, for clarity, are excluded from the Compute Engine SLA).

-> The Google Cloud Free Tier credits for Compute Engine do not apply to preemptible instances.



If you increase the size of a subnet in a custom VPC network, the IP addresses of virtual machines already on that subnet might be affected.
Which options are Correct.

  1. False
  2. None of the above
  3. True
  4. Not Defined by Google Cloud Platform

Answer(s): A

Explanation:

You can dynamically increase the size of a subnet in a custom network by expanding the range of IP addresses allocated to it. Doing that doesn't affect already configured VMs.



Which of the following statements is / are correct about Machine Learning?

  1. Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.
  2. Machine learning automates the job of building statistical models with Human In-tervention.
  3. Robotic process automation (RPA) can not be attached with ML.
  4. None of the Above.

Answer(s): A

Explanation:

Customer service
Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.



You are a cloud architect in a software solution provider company, one of the client that is a Na-tional Bank who wants to build an application that deals with transactions processing, and it needs a relational database with petabyte of scale dat

  1. Which of the following Google Cloud Services will you use?
  2. Cloud SQL
  3. Cloud Bigtable
  4. Cloud Spanner
  5. Google Cloud BigQuery

Answer(s): C

Explanation:

- Cloud Spanner is the online transaction processing solution that is relational and offers petabyte scalability. Cloud SQL is not designed for petabyte-scale data.






Post your Comments and Discuss Google CLOUD-DIGITAL-LEADER exam with other Community members:

CLOUD-DIGITAL-LEADER Discussions & Posts