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Cloud Digital Leader
Page 4 out of 20 pages Questions 31-40 out of 191 questions
Question#31

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

  • A. Unlike Migrate for Anthos, Migrate for Compute Engine assumes that the migration source is VMware vSphere.
  • B. Migrate for Compute Engine charges for ingress, but Migrate for Anthos does not.
  • C. Migrate for Compute Engine is closed source, and Migrate for Anthos is open source.
  • D. Migrate for Anthos migrates to containers, and Migrate for Compute Engine migrates to virtual machines.
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D
Reference:
https://cloud.google.com/migrate/anthos

Question#32

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?

  • A. Replicate the LDAP infrastructure on Compute Engine
  • B. Use the Firebase Authentication REST API to create users
  • C. Use Google Cloud Directory Sync to create users
  • D. Use the Identity Platform REST API to create users
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C
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

Question#33

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?

  • A. Use Storage Transfer Service to securely make your data available to Google Cloud
  • B. Create a VPC between your on-premises data center and your Google resources
  • C. Peer your on-premises data center to Google's Edge Network
  • D. Use Transfer Appliance to securely make your data available to Google Cloud
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B

Question#34

Your organization consists of many teams. Each team has many Google Cloud projects. Your organization wants to simplify the management of identity and access policies for these projects.
How can you group these projects to meet this goal?

  • A. Group each team's projects into a separate domain
  • B. Assign labels based on the virtual machines that are part of each team's projects
  • C. Use folders to group each team's projects
  • D. Group each team's projects into a separate organization node
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B

Question#35

An organization needs to categorize text-based customer reviews on their website using a pre-trained machine learning model.
Which Google Cloud product or service should the organization use?

  • A. Cloud Natural Language API
  • B. Dialogflow
  • C. Recommendations AI
  • D. TensorFlow
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C

Question#36

An organization is planning its cloud expenditure.
What should the organization do to control costs?

  • A. Consider cloud resource costs as capital expenditure in annual planning.
  • B. Use only cloud resources; they have no cloud infrastructure costs.
  • C. Review cloud resource costs frequently because costs depend on usage.
  • D. Assess cloud resources costs only when SLO is not met by their cloud provider.
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C

Question#37

An organization is searching for an open-source machine learning platform to build and deploy their own custom machine learning applications using TPUs.
Which Google Cloud product or service should the organization use?

  • A. TensorFlow
  • B. BigQuery ML
  • C. Vision API
  • D. AutoML Vision
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D

Question#38

What is an example of unstructured data that organizations can capture from social media?

  • A. Post comments
  • B. Tagging
  • C. Profile picture
  • D. Location
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C

Question#39

An organization relies on online seasonal sales for the majority of their annual revenue.
Why should the organization use App Engine for their customer app?

  • A. Automatically adjusts physical inventory in real time
  • B. Autoscales during peaks in demand
  • C. Runs maintenance during seasonal sales
  • D. Recommends the right products to customers
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C

Question#40

An organization is using machine learning to make predictions. One of their datasets mistakenly includes mislabeled data.
How will the prediction be impacted?

  • A. Increased risk of privacy leaks
  • B. Increased risk of inaccuracy
  • C. Decreased model compatibility
  • D. Decreased model training time
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B

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