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

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Question # 9

You are working with the head of the IT team and planning the move of computing systems. The questionnaire indicates that they have a reporting application that runs almost 24 hours every day of the week. When there is extra load, it queues up the processing and executes tasks when there is less demand. Which of these compute options would you recommend for them?

A.

Use a serverless option - App Engine Standard for Flex

B.

Use a server-based option - Compute Engine.

C.

Use a serverless option - Cloud Functions

D.

Serverless option - Cloud Run

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Question # 10

You are a program manager within a Software as a Service (SaaS) company that offers rendering software for animation studios. Your team needs the ability to allow scenes to be scheduled at will and to be interrupted at any time to restart later. Any individual scene rendering takes less than 12 hours to complete, and there is no service-level agreement (SLA) for the completion time for all scenes. Results will be stored in a global Cloud Storage bucket. The compute resources are not bound to any single geographical location. This software needs to run on Google Cloud in a cost-optimized way.

What should you do?

A.

Deploy the application on Compute Engine using preemptible instances

B.

Develop the application so it can run in an unmanaged instance group

C.

Create a reservation for the minimum number of Compute Engine instances you will use

D.

Start more instances with fewer virtual centralized processing units (vCPUs) instead of fewer instances with more vCPUs

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Question # 11

Your customer is making a decision on whether to move to Google Cloud. Their key concern is about 10,000 VMs that are part of their IT infrastructure used across more than 110 applications. They are apprehensive of too many changes at this stage. They want to get to Google Cloud in the easiest way possible with minimal disruption. What option would you recommend for them?

A.

Use Migrate for Anthos

B.

Lift and shift the VMs to serverless options like App Engine Flex.

C.

Re-architect on-prem to use Kubernetes and then slowly extend and bridge the on-prem data center to the Google Cloud data center.

D.

Use Migrate for Compute

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Question # 12

An organization wants to scale their existing virtual machine architecture as quickly as possible. Why should the organization use VMware Engine?

A.

To archive virtual machine instances.

B.

To deploy custom APIs seamlessly.

C.

To migrate virtual machines to containers.

D.

To replatform virtual machines as they are.

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Question # 13

Your organization wants to predict the behavior of visitors to its public website. To do that, you have decided to build a machine learning model. Your team has database-related skills but only basic machine learning skills, and would like to use those database skills.

Which Google Cloud product or feature should your organization choose?

A.

BigQuery ML

B.

LookML

C.

TensorFlow

D.

Cloud SQL

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Question # 14

Which of the following is/are true about Anthos?

A.

Enterprise-grade container orchestration and management service.

B.

Modernizing your security for hybrid and multi-cloud deployments

C.

Fully managed service mesh with built-in visibility

D.

All of the Above

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Question # 15

What would provide near-unlimited availability of computing resources without requiring your organization to procure and provision new equipment?

A.

Public cloud

B.

Containers

C.

Private cloud

D.

Microservices

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Question # 16

A startup is planning to create their entire suite of applications on Google Cloud. They are looking at various open source technologies to build applications. One of the considera-tion is about having a well integrated monitoring tool. They have to be able to constantly review load capacity and performance of their applications and virtual machines. What would you advise them to do?

A.

It is best to build a custom solution so that they know it integrates well with all their custom applications.

B.

Since they are using open source for applications, find another open source monitoring tool and integrate it, which could turn out to be very cheap.

C.

Use the Google Cloud Operations Suite which contains monitoring among other operations tools.

D.

Update the application code to regularly write to output logs. Export the logs to BigQuery to analyze them frequently.

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