Google Cloud-Digital-Leader Practice Exam Questions

Google Cloud-Digital-Leader Sample Question Answers

Question # 1

Which Google Cloud service or feature lets you build machine learning models using Standard SQL and data in a data warehouse?

A. BigQuery ML 
B. TensorFlow 
C. AutoML Tables 
D. Cloud Bigtable ML 

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Question # 2

What are the key features of Google Cloud Identity. 

A. Multi-factor authentication (MFA) 
B. Single sign-on (SSO) 
C. Works with your favorite apps and Endpoint management 
D. All of the Above 

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Question # 3

Your organization needs to process large amounts of data from an online application that operates continuously. You do not want to be required to provision infrastructure or create server clusters. What should your organization choose? 

A. Compute Engine with BigQuery 
B. Dataproc 
C. Google Kubernetes Engine with Cloud Bigtable 
D. Dataflow 

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Question # 4

The Border Security Agency has hired your software services firm to build an application for them that will collect information about visas stamped on passports. You are given stamped images. You have to find out which country issued the visa and the period of validity. Pull out this data and put it into a database. Which of these applications would be suitable for that? 

A. Use Cloud Vision API - write code to identify the text blocks, copy the data, and store it 
B. Use TensorFlow - write code that will identify the type of visa and the bounding text blocks. Copy the data and then store it. 
C. Use AutoML - upload other images of visas and run the model creation process which will automatically identify the visas 
D. Use Data Labeling service - outsource the work of marking and extracting the in-formation to others. 

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Question # 5

The customer has applications that do data processing on-premise. They have been built using Ha-doop and Spark. What product should I use on Google Cloud? 

A. Dataproc 
B. Dataflow 
C. Dataprep 
D. Dataplex 

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Question # 6

Your organization is running all its workloads in a private cloud on top of a hypervisor. Your organization has decided it wants to move to Google Cloud as quickly as possible. Your organization wants minimal changes to the current environment, while using the maximim amount of managed services Google offers. What should your organization do? 

A. Migrate the workloads to Google Cloud VMware Engine 
B. Migrate the workloads to Compute Engine 
C. Migrate the workloads to Bare Metal Solution 
D. Migrate the workloads to Google Kubernetes Engine 

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Question # 7

What characteristics should an organization adopt to be a DevOps organization? 

A. Teamwork over individual work 
B. Obsession with Automation over preoccupation with manual work 
C. Product based teams over component teams. 
D. All of the Above 

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Question # 8

When you update the function in firebase by deploying updated code, instances for older versions are cleaned up along with build artifacts in __________________ and replaced by new instances.

 A. Google Cloud console. 
B. Storage and Container Registry. 
C. Container Registry repository. 
D. None of the Above 

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Question # 9

Virtual Machine vCPU and memory usage for each of these categories can receive one of the following discounts? (Select Three Answer) 

A. Military Discounts 
B. Spot Instances 
C. Committed-Use 
D. Sustained-Use 
E. Preemptible VMs 

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Question # 10

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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