In Go, the == operator is used to check for equality between two values. It returns true if the operands are equal, otherwise false. For instance, a == b would evaluate to true if a is equal to b.

In Go, you can check the type of a variable during runtime by using the reflect package. This package provides functions like TypeOf which returns the reflect.Type of a given interface{}, allowing you to examine the type of a variable dynamically.

In Go, the reflect package provides functionality for dynamically calling methods on values. This involves obtaining a reflect.Value that represents the method to be called and then using the Call method on that value, passing any required arguments. Understanding this mechanism is important for scenarios where method invocation needs to be determined dynamically at runtime.

In this scenario, ensuring transaction atomicity and consistency is crucial to maintain data integrity. Utilizing database transactions and ACID (Atomicity, Consistency, Isolation, Durability) properties provides a robust mechanism to ensure that either all operations in a transaction are performed or none are, thus maintaining consistency and atomicity. ACID properties guarantee that even in case of failures, the database remains in a consistent state.

Type assertion and type switch are often employed when working with interfaces in Go, especially with concrete interfaces. A concrete interface specifies the exact methods a type must have to satisfy the interface, enabling type assertion to convert the interface back to its concrete type safely. Type switch allows conditional branching based on the concrete type of an interface variable, facilitating efficient and concise code when handling various implementations of an interface. Understanding these mechanisms is essential for effective interface utilization in Go.

In Go, an empty interface (interface{}) is a special type that can hold values of any type. It is commonly used when you need to work with values of unknown types or when you want to design functions or data structures that are flexible enough to handle different types of input. However, using empty interfaces can lead to loss of type safety, so it's essential to use type assertions or type switches carefully when working with them.

To identify and fix database connection leaks in the context of connection pooling, you should monitor connection usage metrics and identify abnormal patterns such as connections not being properly closed or excessive connection creation. By analyzing these metrics, you can pinpoint the source of leaks and take corrective actions such as fixing code issues, implementing connection timeouts, or increasing the pool size if necessary.

In Go, the data type used to store whole numbers is 'int'. Integers are used to represent whole numbers without any fractional part. They can be either positive or negative.

The correct option is gocheck. The gocheck testing framework in Go supports table-driven tests, allowing developers to define multiple test cases in a structured format. This approach enhances test readability and maintainability, especially when testing functions with varying inputs and expected outputs. Gocheck also offers additional features such as custom assertions and fixtures, making it a versatile choice for testing in Go.

When configuring database connection pooling for optimal performance, factors such as maximum connection pool size, connection timeout settings, database server capacity, and application traffic patterns should be considered. Adjusting these parameters appropriately can ensure efficient resource utilization and optimal performance in Go applications.