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

The video tutorial explains how to implement a prime number decomposition service using RPC. It covers the server-side implementation, where a number is decomposed into its prime factors using a streaming approach. The client-side implementation is also discussed, focusing on sending requests and receiving streaming responses. The tutorial concludes with testing and optimizing the service for handling large numbers efficiently.

What is the main reason for using streaming in prime number decomposition?

• To ensure all factors are sent at once

• To increase the complexity of the algorithm

• To send prime factors as they are found

• To reduce the size of the response

In the server-side implementation, what is the initial value of the divisor?

• 2

• 1

• 10

• 0

What happens when a divisor divides the number evenly in the algorithm?

• The divisor is discarded

• The number is multiplied by the divisor

• The divisor is sent as a prime factor

• The divisor is ignored

What should be done if the server is not running when the client is executed?

• Restart the client

• Start the server and rerun the client

• Change the request number

• Ignore the error

How can the client handle very large numbers efficiently?

• By changing the number to a string

• By using a different algorithm

• By reducing the number size

• By using INT 64 data type

What is the purpose of changing the data type to INT 64?

• To increase the speed of computation

• To simplify the algorithm

• To make the code more readable

• To handle larger numbers

What is demonstrated by the quick completion of large number decomposition?

• The inefficiency of the algorithm

• The need for a better algorithm

• The power of modern computers

• The limitations of streaming