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Cloud-Digital-Leader Exam Dumps : Google Cloud Digital Leader exam

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Google Cloud Digital Leader exam Questions and Answers

Question 1

You are running a data warehouse on BigQuery. A partner company is offering a recommendation engine based on the data in your data warehouse. The partner company is also running their applica-tion on Google Cloud. They manage the resources in their own project, but they need access to the BigQuery dataset in your project. You want to provide the partner company with access to the da-taset. What should you do?

Options:

A.

Ask the partner to create a Service Account in their project, and have them give the Service Account access to BigQuery in their project.

B.

Create a Service Account in your own project, and grant this Service Account ac-cess to BigQuery in your project.

C.

Create a Service Account in your own project, and ask the partner to grant this Service Account access to BigQuery in their project.

D.

Ask the partner to create a Service Account in their project, and grant their Service Account access to the BigQuery dataset in your project.

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Question 2

An organization is moving away from an on-premises infrastructure. Instead, they want to create, access, and share information virtually in the cloud.

What should the organization consider?

Options:

A.

Built-in security when moving their data to the cloud

B.

Replacing their perimeter security with data encryption keys

C.

Optimizing cost-management with a capital expenditure model

D.

Increased hardware capacity when moving their data to the cloud

Question 3

Your multinational organization has servers running mission-critical workloads on its premises around the world. You want to be able to manage these workloads consistently and centrally, and you want to stop managing infrastructure.

What should your organization do?

Options:

A.

Migrate the workloads to a public cloud

B.

Migrate the workloads to a central office building

C.

Migrate the workloads to multiple local co-location facilities

D.

Migrate the workloads to multiple local private clouds