Google Cloud-Digital-Leader Exam: A Comprehensive Guide to Success with ITEXAMSTEST Exam Dumps

The Google Google Cloud Certified certification is a globally recognized credential that validates the skills and knowledge required to install, configure, operate, and troubleshoot small to medium-sized enterprise networks. To earn this prestigious certification, candidates must pass the Google Cloud-Digital-Leader exam, which covers a wide range of networking topics, including network fundamentals, network access, IP connectivity, IP services, security fundamentals, and automation and programmability.

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Google Cloud-Digital-Leader Sample Questions

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 



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 



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 



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. 



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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