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

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Google Cloud Digital Leader exam Questions and Answers

Question 1

You are a DevOps Engineer in an E-commerce company that sells products globally, across the countries, Customers buy products, add them to carts or check-in stock from different parts of the world with different timestamps, you need to choose a database that can scale globally without any hassle and lots of developer support, it should be consistent across regions, can scale horizontally to support enormous user, automatically replicates, shards and even auto transaction pro-cessing. Which of the following database do you choose?

Options:

A.

Cloud SQL

B.

Cloud Spanner

C.

Cloud Firestore.

D.

Cloud Storage.

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Question 2

Your company has a requirement to run manual tests on their web products for UX research before it is released to end customers. The people who will do the tests are external to the company. They will either use their own Gmail id or be given temporary email ids using the applications and record-ing their inputs in another app. The UX testing is done in the last week of the month. Each month the UX testers could be different. How should the IT team manage the users?

Options:

A.

Since the app is anyways going to be public, create permanent credentials for the UX testers that they can conveniently use each time.

B.

It would be a security issue to have users come and go. Recommend that the test-ers be permanently hired to plug the vulnerability issue.

C.

It would be a security issue to have users come and go. Recommend that the test-ers be permanently hired to plug the vulnerability issue.

D.

Create a Group with the permissions required to do the test and record their in-puts. When users arrive each week, add them to the group and after the testing period, remove them from the group.

Question 3

What is artificial intelligence?

Options:

A.

Any system that ingests data in real time

B.

Any system that automatically structures data

C.

Any system capable of a task that requires smart analytics to generate predictions

D.

Any system capable of a task that normally requires human cognition