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Google Cloud-Digital-Leader Dumps PDF
Google Cloud Digital Leader exam- 371 Questions & Answers
- Update Date : July 11, 2024
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Sample Questions
Question 1
Your organization is defining the resource hierarchy for its new application in Google Cloud. You need separate development and production environments. The production environment will be deployed in Compute Engine in two regions. Which structure should your organization choose?
A. Create a single project for all environments. Use labels to segregate resources by environment.B. Create a single project for all environments. Use tags to segregate resources by environment.
C. Create one project for the development environment and one project for the production environment.
D. Create two projects for the development environment and two projects for the production environment (one for each region).
Question 2
Which Google Cloud service or feature lets you build machine learning models using Standard SQL and data in a data warehouse?
A. BigQuery MLB. TensorFlow
C. AutoML Tables
D. Cloud Bigtable ML
Question 3
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 4
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 BigQueryB. Dataproc
C. Google Kubernetes Engine with Cloud Bigtable
D. Dataflow
Question 5
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 itB. 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.