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Free CLOUD-DIGITAL-LEADER Exam Braindumps (page: 11)

Page 10 of 104
PDF with 411 Questions

Which Google Cloud service or feature lets you build machine learning models using Standard SQL and data in a data warehouse?

  1. BigQuery ML
  2. TensorFlow
  3. AutoML Tables
  4. Cloud Bigtable ML

Answer(s): A

Explanation:

BigQuery ML lets you create and execute machine learning models in BigQuery using standard SQL queries.


Reference:

https://cloud.google.com/bigquery-
ml/docs/introduction#:~:text=BigQuery%20ML%20lets%20you%20create,the%20need%20to%20mo ve%20data https://cloud.google.com/bigquery-ml/docs/introduction



Your organization runs an application on virtual machines in Google Cloud. This application processes incoming images. This activity takes hours to create a result for each image. The workload for this application normally stays at a certain baseline level, but at regular intervals it spikes to a much greater workload. Your organization needs to control the cost to run this application.
What should your organization do?

  1. Purchase committed use discounts for the baseline load
  2. Purchase committed use discounts for the expected spike load
  3. Leverage sustained use discounts for your virtual machines
  4. Run the workload on preemptible VM instances

Answer(s): C

Explanation:

The idea of the Sustained Use discount is that the longer you run a VM instance in any given month, the bigger discount you will get from the list price.


Reference:

https://www.parkmycloud.com/blog/google-sustained-use-discounts/



Your organization is developing a plan for migrating to Google Cloud.
What is a best practice when initially configuring your Google Cloud environment?

  1. Create a project via Google Cloud Console per department in your company
  2. Define your resource hierarchy with an organization node on top
  3. Create projects based on tem members' requests
  4. Make every member of your company the project owner

Answer(s): B

Explanation:

The Organization resource is the root node of the Google Cloud resource hierarchy and all resources that belong to an organization are grouped under the organization node. This provides central visibility and control over every resource that belongs to an organization.

Reference link- https://cloud.google.com/resource-manager/docs/cloud-platform-resource-hierarchy



Your organization runs many workloads in different Google Cloud projects, each linked to the same billing account. Each project's workload costs can vary from month to month, but the overall combined cost of all projects is relatively stable. Your organization needs to optimize its cost.
What should your organization do?

  1. Purchase a commitment per project for each project's usual minimum
  2. Create a billing account per project, and link each project to a different billing account
  3. Turn on committed use discount sharing, and create a commitment for the combined usage
  4. Move all workloads from all different projects into one single consolidated project

Answer(s): C

Explanation:

Turn on committed use discount sharing, and create a commitment for the combined usage

Sharing your committed use discounts across all your projects reduces the overhead of managing discounts on a per-project basis, and maximizes your savings by pooling all your discounts across your projects' resource usage. If you have multiple projects that share the same Cloud Billing account, you can enable committed use discount sharing so all of your projects within that Cloud Billing account share all of your committed use discount contracts. Your sustained use discounts are also pooled at the same time. That is, sustained use discounts are calculated using the total resources across these projects, rather than just the resources within a single project.



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






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