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01

What are Protocol Buffers and why does gRPC use them?

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Protocol Buffers (protobuf) are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data. gRPC uses protobuf for several reasons:

  • Efficiency: Binary serialization is faster and more compact than JSON/XML
  • Type Safety: Strongly typed schema prevents runtime errors
  • Code Generation: Automatically generates client and server code
  • Language Agnostic: Works across different programming languages
  • Schema Evolution: Supports backward and forward compatibility

Example protobuf definition:

syntax = "proto3";

message User {
  int32 id = 1;
  string name = 2;
  string email = 3;
}

service UserService {
  rpc GetUser(UserRequest) returns (User);
}
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02

How does gRPC differ from REST APIs?

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Aspect gRPC REST
Protocol HTTP/2 HTTP/1.1
Data Format Protocol Buffers (binary) JSON (text)
Performance Faster, lower latency Slower due to text parsing
Streaming Bidirectional streaming Limited streaming support
Browser Support Limited (needs gRPC-Web) Native support
Caching Limited caching capabilities HTTP caching support
Learning Curve Steeper Gentler
Use Case Microservices, real-time apps Web APIs, CRUD operations
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03

What are the main advantages of using HTTP/2 in gRPC?

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HTTP/2 provides several advantages for gRPC:

  • Multiplexing: Multiple requests can be sent simultaneously over a single connection
  • Binary Protocol: More efficient parsing compared to HTTP/1.1 text protocol
  • Header Compression: Reduces overhead using HPACK compression
  • Server Push: Server can send multiple responses for a single request
  • Flow Control: Prevents overwhelming slower receivers
  • Connection Reuse: Reduces connection overhead and latency
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04

What types of service methods does gRPC support?

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gRPC supports four types of service methods:

  1. Unary RPC: Client sends one request, server returns one response
rpc GetUser(UserRequest) returns (User);
  1. Server Streaming RPC: Client sends one request, server returns a stream of responses
rpc ListUsers(ListUsersRequest) returns (stream User);
  1. Client Streaming RPC: Client sends a stream of requests, server returns one response
rpc CreateUsers(stream User) returns (CreateUsersResponse);
  1. Bidirectional Streaming RPC: Both client and server send streams of messages
rpc Chat(stream ChatMessage) returns (stream ChatMessage);
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05

How do you define a gRPC service in a .proto file?

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06

What is code generation in gRPC and why is it important?

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07

What is a gRPC client stub?

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Intermediate 9
08

How do you handle errors in gRPC?

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09

What is gRPC metadata and how is it used?

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10

What are gRPC interceptors and what are they used for?

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11

How do timeouts and deadlines work in gRPC?

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12

What is connection pooling in gRPC and how does it work?

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13

How do you implement authentication in gRPC?

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14

What are the different load balancing strategies in gRPC?

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15

How do you handle streaming in gRPC?

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16

What is gRPC health checking and how do you implement it?

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Expert 15
17

How do you optimize gRPC performance for high-throughput scenarios?

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18

How do you implement custom load balancing in gRPC?

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19

What is gRPC reflection and when would you use it?

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20

How do you handle gRPC streaming backpressure?

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21

How do you implement circuit breakers with gRPC?

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22

How do you implement distributed tracing in gRPC?

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23

What are the security best practices for gRPC in production?

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24

How do you handle gRPC service discovery in a microservices architecture?

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25

How do you implement graceful shutdown for gRPC servers?

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26

How do you implement request validation in gRPC?

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27

How do you debug and troubleshoot gRPC issues?

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28

What is gRPC-Web and when would you use it?

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29

How do you implement caching strategies with gRPC?

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30

How do you handle versioning in gRPC services?

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31

How do you implement comprehensive monitoring for gRPC services?

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