How would you create a custom HTTP handler struct in Go?

  • Using a function with a specific signature.
  • By extending the http.Handler interface.
  • Implementing the http.ResponseWriter interface.
  • Defining a new route in the main function.
In Go, you create a custom HTTP handler by defining a struct that implements the http.Handler interface. This interface requires implementing the ServeHTTP method, which allows you to specify how the handler should respond to HTTP requests. By using this method, you have full control over handling requests, parsing data, and crafting responses within your custom handler.

Imagine you are building a RESTful API using Go. How would you structure the routing to handle different resource types and actions?

  • Use a single routing tree with different HTTP methods and path patterns.
  • Use multiple routing trees for each resource type and action.
  • Use a routing tree with a single wildcard route for all resource types and actions.
  • Use a separate routing package to handle resource type and action routing.
When building a RESTful API in Go, it's common to use a single routing tree with different HTTP methods (GET, POST, PUT, DELETE) and path patterns (/users, /products, etc.) to handle different resource types and actions. Each route definition should specify the HTTP method and path, making it clear which resource and action the route handles. This approach is clean, maintainable, and aligns with RESTful conventions.

Describe a scenario where you would prefer to use Protocol Buffers over JSON for data serialization in a Go application.

  • When you need human-readable data.
  • When you need self-descriptive data.
  • When you require high performance and efficiency.
  • When you need compatibility with web APIs.
Protocol Buffers (protobuf) are preferred over JSON when high performance and efficiency are crucial. For example, in scenarios where you need to serialize and deserialize large volumes of data frequently, such as in high-throughput microservices or data streaming applications. Protocol Buffers use a binary encoding format, which is more compact and faster to serialize/deserialize compared to the text-based format of JSON. While JSON is human-readable, protobuf excels in terms of speed and size, making it ideal for scenarios where performance is a top priority.

You are building a large-scale application in Go. How would you design a robust error handling strategy to ensure maintainability and ease of debugging?

  • Use structured error types with context information and stack traces.
  • Ignore errors to minimize code complexity.
  • Use generic error messages to avoid confusion.
  • Use panic for all errors for immediate termination.
To design a robust error handling strategy in Go, it's essential to use structured error types that provide context information and, if possible, stack traces. This ensures that when an error occurs, you have detailed information about where it happened and why. Ignoring errors or using generic messages can lead to poor maintainability and debugging challenges. panic should only be used in critical situations, and generally, it's better to return errors and handle them gracefully in the application.

What are some common causes of memory leaks in Go programs?

  • Failure to close files or network connections.
  • Not using channels for communication between goroutines.
  • Using the 'defer' keyword excessively.
  • Excessive use of pointers and unsafe operations.
Common causes of memory leaks in Go include failing to close resources like files or network connections properly. When these resources are not closed, they continue to consume memory, leading to leaks. It's essential to ensure that resources are explicitly released when they are no longer needed. Properly managing resources and using idiomatic Go constructs like channels and 'defer' statements can help avoid memory leaks. Understanding these pitfalls is critical for writing robust Go programs.

What is the difference between an array and a slice in Go?

  • An array has a fixed size, while a slice can grow dynamically.
  • An array can be multi-dimensional, while a slice is always 1-dimensional.
  • An array can store elements of different types.
  • A slice is a reference to an array.
The primary difference between an array and a slice in Go is that an array has a fixed size, which means it cannot change once it's defined, whereas a slice is a dynamic data structure that can grow or shrink as needed. Additionally, slices are more versatile because they are built on top of arrays and provide more flexibility when working with collections of data. Understanding this difference is crucial when deciding between arrays and slices for different use cases in Go.

Mock objects in Go testing should implement the same _____ as the real objects they are replacing.

  • Interfaces
  • Struct fields
  • Methods
  • Data types
Mock objects in Go testing should implement the same Interfaces as the real objects they are replacing. This is crucial for ensuring that the mock objects can be used as drop-in replacements for the real objects in your code. When both the real object and the mock object implement the same interface, your code can work with them interchangeably, allowing you to switch between real and mock implementations for testing and production environments without changing the code that uses them.

In Go, a custom error can be created by implementing the _____ interface.

  • Error
  • CustomError
  • fmt
  • Stringer
In Go, a custom error can be created by implementing the error interface. The error interface is defined as type error interface { Error() string }, which means that any type implementing this interface must provide an Error() method that returns a string. This method defines the error message for the custom error type. Implementing the error interface allows custom error types to be used interchangeably with the built-in error type in Go.

How does Go's type system enhance code safety and maintainability?

  • It adds complexity to the code.
  • It allows implicit type conversions.
  • It enforces static typing and catches errors early.
  • It permits dynamic typing for flexibility.
Go's type system enhances code safety and maintainability by enforcing static typing. This means that variable types are known at compile-time, catching type-related errors early in the development process. It prevents runtime type errors, making the code more reliable. Static typing also improves code maintainability by providing clear type information, making the code self-documenting and easier to understand, especially in large codebases.

What is the purpose of the fmt.Println() function in debugging Go code?

  • To print the current date and time.
  • To print a message to the console.
  • To start the debugger.
  • To clear the screen.
The fmt.Println() function in Go is used for printing messages to the console. It's a valuable tool in debugging because it allows you to inspect the values of variables, control flow, and other information during program execution. By strategically placing fmt.Println() statements in your code, you can print out the values of variables at specific points in your code to understand what's happening and identify issues. This is often referred to as "printf-style debugging."

What is an SQL injection, and how can it be prevented in Go?

  • A method to inject SQL code into the database.
  • A technique to encrypt database queries for security.
  • A way to improve database performance in Go.
  • A mechanism to create database backups.
SQL injection is a malicious technique where an attacker inserts malicious SQL code into a query, potentially gaining unauthorized access to the database or altering its contents. In Go, you can prevent SQL injection by using prepared statements and parameterized queries. These techniques ensure that user inputs are treated as data, not executable code, making it much harder for attackers to manipulate your queries. Proper input validation and sanitization are also important.

The _______ package in Go provides functionality for measuring and displaying test coverage.

  • coverage
  • testing/coverage
  • test_coverage
  • cover
The "testing/cover" package in Go provides functionality for measuring and displaying test coverage. It allows you to analyze how much of your codebase is covered by your tests. Test coverage is a crucial metric for assessing the effectiveness of your test suite and identifying areas of your code that may not be adequately tested. It helps ensure the reliability and robustness of your Go programs.