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Google Updated Cloud-Digital-Leader Exam Questions and Answers by georgie

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Google Cloud-Digital-Leader Exam Overview :

Exam Name: Google Cloud Digital Leader exam
Exam Code: Cloud-Digital-Leader Dumps
Vendor: Google Certification: Google Cloud Certified
Questions: 411 Q&A's Shared By: georgie
Question 32

Your customer's IT team is in the process of modernizing their customer-facing applications. They've witnessed others getting good results from employing microservices, and they're keen to adopt it themselves. The first application that they are modernizing has about 5 different sub-parts, which they have identified will be the services. They also identify that each of them has different scale requirements - some services like user login are less frequently used while others like transac-tions are heavily used. What technical strategy would you recommend for them?

Options:

A.

Containerize the services and orchestrate them with Google Kubernetes Engine.

B.

Retain the original application in Compute Engine and scale it as needed using Managed Instance Groups.

C.

Retain the original application as a backup and also for separately scaling the ser-vices, create new application binaries.

D.

Retain the original application in Compute Engine and scale it as needed using Unmanaged Instance Groups.

Discussion
Question 33

Which of the following methods should you use when you require a dynamic way of provisioning VMs on Compute Engine when it is observed that the exact specifications will be in a dedicated configuration file and you want to follow Google’s recommended practices.

Options:

A.

Managed Instance Group

B.

Deployment Manager

C.

Cloud Composer

D.

Unmanaged Instance Group

Discussion
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Question 34

One of your clients is in the retail sector. They have a small team supporting their operations and a small development team taking care of application development. They have heard of the benefits of machine learning, but they do not have the capacity to hire data scientists or the work to retain them. They have a team of analysts who works primarily on BigQuery and knows how to run SQL queries. They want to be able to get into the new age of machine learning and artificial intelligence. What options are available to run on Google Cloud?

Options:

A.

Use the popular open-source libraries SciPy and NumPy to create machine learn-ing models.

B.

Use the Unified AI Platform to create a custom TensorFlow model.

C.

Use BigQuery ML to create machine learning models using SQL queries.

D.

Integrate the Cloud Vision API and the Cloud Speech API to create a custom mod-el that will suit the retail sector.

Discussion
Question 35

With respect to the Core Feature of Standby Instances of Cloud SQL which one of the options is correct.?

Options:

A.

The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance appears in the Google Cloud Console but does not get billed. When failover occurs, connections to the primary instance need to be manually transferred to the standby instance.

B.

The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance appears in the Google Cloud Console but does not get billed. When failover occurs, connections to the primary instance are automatically transferred to the standby instance.

C.

The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automati-cally transferred to the standby instance.

D.

None of the Above.

Discussion
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