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Professional-Cloud-Developer Exam Dumps : Google Certified Professional - Cloud Developer

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Google Certified Professional - Cloud Developer Questions and Answers

Question 1

Which service should HipLocal use for their public APIs?

Options:

A.

Cloud Armor

B.

Cloud Functions

C.

Cloud Endpoints

D.

Shielded Virtual Machines

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Question 2

Your company’s corporate policy states that there must be a copyright comment at the very beginning of all source files. You want to write a custom step in Cloud Build that is triggered by each source commit. You need the trigger to validate that the source contains a copyright and add one for subsequent steps if not there. What should you do?

Options:

A.

Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.

B.

Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files do not need to be committed back to the source repository.

C.

Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are written back to the Cloud Storage bucket.

D.

Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.

Question 3

For this question refer to the HipLocal case study.

HipLocal wants to reduce the latency of their services for users in global locations. They have created read replicas of their database in locations where their users reside and configured their service to read traffic using those replicas. How should they further reduce latency for all database interactions with the least amount of effort?

Options:

A.

Migrate the database to Bigtable and use it to serve all global user traffic.

B.

Migrate the database to Cloud Spanner and use it to serve all global user traffic.

C.

Migrate the database to Firestore in Datastore mode and use it to serve all global user traffic.

D.

Migrate the services to Google Kubernetes Engine and use a load balancer service to better scale the application.