Google certkiller cloud Developer Professional-cloud-developer Syllabus Exam Questions Answers by Rome q227 vce pdf

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Exam Name:	Google Certified Professional - Cloud Developer
Exam Code:	Professional-Cloud-Developer Dumps
Vendor:	Google	Certification:	Cloud Developer
Questions:	265 Q&A's	Shared By:	rome

Question 40

Your teammate has asked you to review the code below, which is adding a credit to an account balance in Cloud Datastore. Which improvement should you suggest your teammate make?

Questions 40

Options:

Get the entity with an ancestor query.

Get and put the entity in a transaction.

Use a strongly consistent transactional database.

Don’t return the account entity from the function.

Discussion

Question 41

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:

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

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

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

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

Discussion

Question 42

Which service should HipLocal use to enable access to internal apps?

Options:

Cloud VPN

Cloud Armor

Virtual Private Cloud

Cloud Identity-Aware Proxy

Discussion

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Question 43

HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling.

Which two services should they choose? (Choose two.)

Options:

Use Google App Engine services.

Use serverless Google Cloud Functions.

Use Knative to build and deploy serverless applications.

Use Google Kubernetes Engine for automated deployments.

Use a large Google Compute Engine cluster for deployments.

Discussion

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