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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

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Question 1

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?

Options:

A.

Get the entity with an ancestor query.

B.

Get and put the entity in a transaction.

C.

Use a strongly consistent transactional database.

D.

Don’t return the account entity from the function.

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Question 2

Your team is developing an ecommerce platform for your company. Users will log in to the website and add items to their shopping cart. Users will be automatically logged out after 30 minutes of inactivity. When users log back in, their shopping cart should be saved. How should you store users’ session and shopping cart information while following Google-recommended best practices?

Options:

A.

Store the session information in Pub/Sub, and store the shopping cart information in Cloud SQL.

B.

Store the shopping cart information in a file on Cloud Storage where the filename is the SESSION ID.

C.

Store the session and shopping cart information in a MySQL database running on multiple Compute Engine instances.

D.

Store the session information in Memorystore for Redis or Memorystore for Memcached, and store the shopping cart information in Firestore.

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.

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