gRPC [Java] Master Class: Build Modern API and Microservices - [Solution] ComputeAverage API

The video tutorial explains the implementation of a compute average method using RPC in a client-server model. It covers the creation of request and response messages, server-side logic for handling streaming data, and client-side logic for sending data and receiving responses. The tutorial also includes testing and debugging steps to ensure correct functionality.

What is the purpose of the compute average method in the context of the calculator?

• To sort the numbers in ascending order

• To find the maximum number

• To compute the average of a series of numbers

• To calculate the sum of numbers

In the server-side implementation, what are the two variables used to keep track of the data?

• Average and Count

• Sum and Count

• Sum and Product

• Product and Average

How is the average computed in the server-side implementation?

• By dividing the sum by the count

• By multiplying the sum by the count

• By adding the sum and the count

• By subtracting the count from the sum

What type of stub is used in the client-side implementation for asynchronous communication?

• Non-blocking stub

• Blocking stub

• Asynchronous stub

• Synchronous stub

What is the expected average when the numbers 1, 2, 3, and 4 are sent to the server?

• 1.5

• 4.0

• 2.5

• 3.0

What was the issue encountered during the testing phase?

• Client unable to send data

• Server crashing unexpectedly

• Server running on the wrong port

• Incorrect calculation of average

How many messages were sent to the server in the demonstration of client streaming?

• 10,000

• 1,000

• 100

• 100,000

What is the main advantage of using client streaming in this context?

• It allows for real-time data processing

• It reduces the server load

• It simplifies the client code

• It increases the accuracy of calculations

What is the role of the countdown latch in the client-side implementation?

• To synchronize the server and client

• To manage multiple client connections

• To ensure all messages are sent before closing

• To handle errors in communication

What was the final average received after sending 10,000 messages?

• 4.49

• 5.5

• 9.5

• 10.0