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Google Cloud Digital Leader Practice Test - Questions Answers, Page 7

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Question 61

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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?

Create a project per department, and create a folder per environment in each project.
Create a project per department, and create a folder per environment in each project.
Create a folder per department, and create a project per environment in each folder.
Create a folder per department, and create a project per environment in each folder.
Create a Cloud Identity domain per department, and create a project per environment in each domain.
Create a Cloud Identity domain per department, and create a project per environment in each domain.
Create a Cloud Identity domain per environment, and create a project per department in each domain.
Create a Cloud Identity domain per environment, and create a project per department in each domain.
Suggested answer: B

Explanation:

Google Cloud Digital Leader image Question 61 explanation 27911 09182024191217000000

Google Cloud Digital Leader image Question 61 explanation 27911 09182024191217000000

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

Reference link- https://stackoverflow.com/questions/59460623/how-to-create-a-folder-a-project-under-it-with-deployment-manager-google-cloud

asked 18/09/2024
Aziz ZENNOUN
27 questions

Question 62

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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?

Create a single project for all environments. Use labels to segregate resources by environment.
Create a single project for all environments. Use labels to segregate resources by environment.
Create a single project for all environments. Use tags to segregate resources by environment.
Create a single project for all environments. Use tags to segregate resources by environment.
Create one project for the development environment and one project for the production environment.
Create one project for the development environment and one project for the production environment.
Create two projects for the development environment and two projects for the production environment (one for each region).
Create two projects for the development environment and two projects for the production environment (one for each region).
Suggested answer: 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.

Google Cloud Digital Leader image Question 62 explanation 27912 09182024191217000000

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

asked 18/09/2024
Lazar Marinovic
33 questions

Question 63

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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?

Contact your financial institution.
Contact your financial institution.
Contact Trust and Safety.
Contact Trust and Safety.
Contact Cloud Billing Support.
Contact Cloud Billing Support.
Contact Technical Support.
Contact Technical Support.
Suggested answer: C

Explanation:

Google Cloud Digital Leader image Question 63 explanation 27913 09182024191217000000

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

asked 18/09/2024
Tim Klein
37 questions

Question 64

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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?

The Compute Engine instance group
The Compute Engine instance group
The project that owns the Compute Engine instance
The project that owns the Compute Engine instance
The Compute Engine service account
The Compute Engine service account
The Compute Engine instance
The Compute Engine instance
Suggested answer: 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

asked 18/09/2024
Robert Pila
39 questions

Question 65

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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?

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

asked 18/09/2024
Pedro Perez
39 questions

Question 66

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Your company needs to segment Google Cloud resources used by each team from the others. The teams' efforts are changing frequently, and you need to reduce operational risk and maintain cost visibility. Which approach does Google recommend?

One project per team.
One project per team.
One organization per team.
One organization per team.
One project that contains all of each team's resources.
One project that contains all of each team's resources.
One top-level folder per team.
One top-level folder per team.
Suggested answer: A

Explanation:

Reference: https://cloud.google.com/security/infrastructure/design

The Teams need to segmented to have visibility on the resources each team consumes

asked 18/09/2024
Joseph McCray
43 questions

Question 67

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How do Migrate for Compute Engine and Migrate for Anthos differ?

Unlike Migrate for Anthos, Migrate for Compute Engine assumes that the migration source is VMware vSphere.
Unlike Migrate for Anthos, Migrate for Compute Engine assumes that the migration source is VMware vSphere.
Migrate for Compute Engine charges for ingress, but Migrate for Anthos does not.
Migrate for Compute Engine charges for ingress, but Migrate for Anthos does not.
Migrate for Compute Engine is closed source, and Migrate for Anthos is open source.
Migrate for Compute Engine is closed source, and Migrate for Anthos is open source.
Migrate for Anthos migrates to containers, and Migrate for Compute Engine migrates to virtual machines.
Migrate for Anthos migrates to containers, and Migrate for Compute Engine migrates to virtual machines.
Suggested answer: D

Explanation:

Reference: https://cloud.google.com/migrate/anthos

Migrate workloads to Compute Engine with Migrate for Compute Engine. Migrate from Compute Engine to containers with Migrate for Anthos and GKE.

This method makes sense, for instance, in cases where you want to conduct a data-center migration and migrate all workloads into Compute Engine, and only at a second stage selectively modernize suitable workloads to containers.

Google Cloud Digital Leader image Question 67 explanation 27917 09182024191217000000

https://cloud.google.com/migrate/containers/docs/architecture

asked 18/09/2024
Diego Beltran
39 questions

Question 68

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An IoT platform is providing services to home security systems. They have more than a million customers, each with many home devices. Burglaries or child safety issues are concerns that the clients customers. Therefore, the platform has to respond very quickly in near real time. What could be a typical data pipeline used to support this platform on Google Cloud?

Cloud Pub/Sub, Cloud Dataflow, Data Studio
Cloud Pub/Sub, Cloud Dataflow, Data Studio
Cloud Functions, Cloud Dataproc, Looker
Cloud Functions, Cloud Dataproc, Looker
Cloud Pub/Sub, Cloud Dataflow, BigQuery
Cloud Pub/Sub, Cloud Dataflow, BigQuery
Cloud Functions, Cloud Dataproc, BigQuery
Cloud Functions, Cloud Dataproc, BigQuery
Suggested answer: A

Explanation:

=> Cloud Pub/Sub- Cloud Pub/Sub is the best to be the end-point for ingesting large amounts of data.

It will grow as required, can stream data to downstream systems, and can also work with intermittently available backends.

=> Cloud Dataflow- supports streaming data and therefore is an appropriate option for processing the data that is ingested.

=> BigQuery- BigQuery also supports streaming data and its possible to do real time ana-lytics on it.

=> DataStudio- DataStudio and Looker are for visualization. They don't have any in-built analysis.

=> Cloud Functions- Cloud Functions is a useful serverless endpoint. However, Pub/Sub is better in this case because it can also retain messages for a set period if it was not possi-ble to deliver it first time.

=>Cloud Dataproc- Cloud Dataproc is used for Hadoop/Spark workloads and won't be a good fit here.

asked 18/09/2024
Jack de Cort
42 questions

Question 69

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An organization runs their application on a virtual machine, but every time they want to edit specific features, they have to bring the system offline to update the applica-tion. What would be a more appropriate solution for their app?

GPUs
GPUs
Containers
Containers
Hypervisors
Hypervisors
Solid State Disk
Solid State Disk
Suggested answer: B

Explanation:

Because containers can compartmentalize applications which enables parts to be edited in isolation.

Google Cloud Digital Leader image Question 69 explanation 27919 09182024191217000000

Reference link- https://cloud.google.com/learn/what-are-containers

asked 18/09/2024
Lee, Eduardo
48 questions

Question 70

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A Multiple projects within your organization have long-term VM usage. Based on current demand, they are able to project into the future and estimate how many VM hours they will use every year.

Going in for a committed use contract seems sensible. How can you configure committed use easily across all the projects?

Enable committed use with discount sharing for the projects
Enable committed use with discount sharing for the projects
Review the usage of resources by each project on a daily basis. Enable committed use for the following day based on that number, so that it gives maximum granularity without wastage.
Review the usage of resources by each project on a daily basis. Enable committed use for the following day based on that number, so that it gives maximum granularity without wastage.
Take a report of each project's use in the last year. Enable committed use on a per-project basis based on the previous year's numbers.
Take a report of each project's use in the last year. Enable committed use on a per-project basis based on the previous year's numbers.
Share a Google Sheet and request each project team to send in their estimate. Enable committed use accordingly on a per-project basis.
Share a Google Sheet and request each project team to send in their estimate. Enable committed use accordingly on a per-project basis.
Suggested answer: A

Explanation:

Enable committed use discounts are applied to the project from which you purchased it. To share the discount across multiple projects linked to your Cloud Billing account, enable committed use discount sharing from the console. When you enable committed use discount sharing, all of your current active committed use dis-counts in all the projects under the same Cloud Billing account, including those you previously purchased and new ones you purchase in the future are shared across your Cloud Billing account. Your sustained use discounts are also pooled and shared across all projects within your Cloud Billing account.

asked 18/09/2024
Kazi Basit
41 questions
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