Google CLOUD-DIGITAL-LEADER Online Practice Questions and Exam Preparation

Google CLOUD-DIGITAL-LEADER Online Questions & Answers

• Question 251:

  Your company is running the majority of its workloads in a co-located data center. The workloads are running on virtual machines (VMs) on top of a hypervisor and use either Linux or Windows server editions. As part of your company's transformation strategy, you need to modernize workloads as much as possible by adopting cloud-native technologies. You need to migrate the workloads into Google Cloud.

  What should you do?

  A. Export the VMs into VMDK format, and import them into Compute Engine
  B. Export the VMs into VMDK format, and import them into Google Cloud VMware Engine
  C. Migrate the workloads using Migrate for Compute Engine
  D. Migrate the workloads using Migrate for Anthos
  D. Migrate the workloads using Migrate for Anthos

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  Anthos: Anthos lets you build, deploy, and manage applications anywhere in a secure, consistent manner. You can modernize existing applications running on virtual machines while deploying cloud-native apps on containers in an increasingly hybrid and multi-cloud world.

• Question 252:

  Your organization offers public mobile apps and websites. You want to migrate to a Google Cloud-based solution for checking and maintaining your users' usernames and passwords and controlling their access to different resources based on their identity.

  Which should your organization choose?

  A. VPN tunnels
  B. Identity Platform
  C. Compute Engine firewall rules
  D. Private Google Access
  B. Identity Platform

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  Explanation Explanation/Reference:An identity platform is a modern solution for managing the identities of users and devices in a centralized fashion. https://www.okta.com/blog/2021/07/what-is-an-identity-platform/#:~:text=An%20identity%20platform%20is%20a,%2C%20integrations%2C%20and%20platform%20services

• Question 253:

  Your company provides car maintenance services. It is conducting an internal hackathon to identify new ideas that could expand their business. The teams have pitched different ideas and have started working on it. They have to present their application to the judges within 48 hours. A presentation alone is not enough; they have to demonstrate a working proof of concept. The team that you are mentoring is going to recommend additional ser-vices to drive in customers based on the brand of car they drive in. They need to be able to identify what brand of car the customer has, based on a photograph automatically taken at entry. They have already discovered an open source database of car images collected by online enthusiasts. How should they implement this solution?

  A. Use Deep Learning Containers that are preconfigured and optimized containers for deep learning environments.
  B. Use AutoML Image-upload the images and let it create a working model for you.
  C. Use TensorFlow to create a model that will identify the car brands; use the available data to train the model.
  D. Use Cloud Vision AI that is able to detect logos. Write only the code to integrate in-to your workflow.
  B. Use AutoML Image-upload the images and let it create a working model for you.

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  It would be most straightforward to use AutoML Image. Put the images in Cloud Storage, point to it from AutoML, and start the model building process. Reference Link-https://cloud.google.com/automl

• Question 254:

  Your company has a requirement to run manual tests on their web products for UX research before it is released to end customers. The people who will do the tests are external to the company. They will either use their own Gmail id or be given temporary email ids using the applications and record-ing their inputs in another app. The UX testing is done in the last week of the month. Each month the UX testers could be different. How should the IT team manage the users?

  A. Since the app is anyways going to be public, create permanent credentials for the UX testers that they can conveniently use each time.
  B. It would be a security issue to have users come and go. Recommend that the test-ers be permanently hired to plug the vulnerability issue.
  C. It would be a security issue to have users come and go. Recommend that the test-ers be permanently hired to plug the vulnerability issue.
  D. Create a Group with the permissions required to do the test and record their in-puts. When users arrive each week, add them to the group and after the testing period, remove them from the group.
  D. Create a Group with the permissions required to do the test and record their in-puts. When users arrive each week, add them to the group and after the testing period, remove them from the group.

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  Groups are convenient to use for this requirement. Permissions to the group are automatically inherited by the members of the group. Adding and removing UX testers from the group will grant and remove permissions.

• Question 255:

  Which of the following is true while creating a boot persistent disk from a snapshot.

  A. You cannot apply a snapshot to an existing persistent disk, or apply a snapshot to persistent disks that belong to a different project than that snapshot.
  B. It is only possible to apply data from a snapshot when you first create a persistent disk.
  C. After you create a snapshot of a boot persistent disk, you can apply data from that snapshot to new persistent disks.
  D. All of the above.
  D. All of the above.

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  When you create a virtual machine (VM) instance, you must also create a boot disk for the VM. You can use a public image, a custom image, or a snapshot that was taken from another boot disk. When you create a boot disk, limit the disk size to 2 TB to account for the limitations of MBR partitioning. Compute Engine automatically creates a boot persistent disk when you create an instance. If you require additional data storage space for your instances, add one or more secondary instance storage options. You might need to create a standalone boot persistent disk and attach it to an instance later, or resize a boot persistent disk to improve performance and add more space for additional applications or operating system files. That process is described in Add or resize a persistent disk. As a best practice, do not use regional persistent disks for boot disks. In a failover situation, they do not force-attach to a VM. After you create a snapshot of a boot persistent disk, you can apply data from that snapshot to new persistent disks. It is only possible to apply data from a snapshot when you first create a persistent disk. You cannot apply a snapshot to an existing persistent disk, or apply a snapshot to persistent disks that belong to a different project than that snapshot.

• Question 256:

  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?

  A. Create a project per department, and create a folder per environment in each project.
  B. Create a folder per department, and create a project per environment in each folder.
  C. Create a Cloud Identity domain per department, and create a project per environment in each domain.
  D. Create a Cloud Identity domain per environment, and create a project per department in each domain.
  B. Create a folder per department, and create a project per environment in each folder.

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  Explanation Explanation/Reference: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

• Question 257:

  An organization needs a flexible and scalable NoSQL database with strong web and mobile application support. Which Google Cloud product or service should the organization use?

  A. Cloud Spanner
  B. BigQuery
  C. Cloud Storage
  D. restore
  C. Cloud Storage

• Question 258:

  An organization wants to create a new application in the cloud to replace an existing on-premises application.

  Which application modernization approach should the organization use?

  A. Move the application to the cloud, and then change it.
  B. Change their application, and then move it to the cloud.
  C. Invent in greenfield.
  D. Invent in brownfield.
  D. Invent in brownfield.

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  This approach carries over as much custom components as possible from the source system and minimizes initial reengineering efforts.

• Question 259:

  A cinema company wants to build a model to predict customer visit patterns for the coming year. They have three years of customer visit data across 300 theaters; however, the data has been stored in different formats by different theaters. They must train the ML model.

  What should they do?

  A. Choose an ML model type that can process different formats of input data.
  B. Transform the data into a consistent format.
  C. Use the last year of data so there are fewer inconsistencies for the model to handle.
  D. Group different format types and train a different model for each group.
  B. Transform the data into a consistent format.

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  The cinema company wants to build a machine learning model to predict customer visit patterns using three years of customer visit data stored in different formats. For effective ML model training, the input data must be in a consistent format. Google Cloud Product Relevance: Why Not Other Options: Google Cloud Digital Leader References: Refer to Dataflow and Dataprep documentation for details on data transformation and preparation services in Google Cloud.

• Question 260:

  Which of the following storage options should you use when your company is using Cloud Storage to store application backup files for disaster recovery purposes, provided you want to follow Goog-le's recommended practices.

  A. Multi-Regional Storage
  B. Coldline storage
  C. Nearline Storage
  D. Regional Storage
  B. Coldline storage

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  Explanation Explanation/Reference:Coldline storage is a very low cost highly durable storage service for data archiving, online backup, and disaster recovery. Coldline storage is the best choice for data that you plan to access at most once a year due to its slightly lower availability, 90 day minimum storage duration cost for data access, and higher per operation costs. Nearline and Coldline are for backup and archival storage and having the highest availability for both with 99.9 percent.