In Agile development, automation in API testing is emphasized to achieve early detection and resolution of issues. Automated tests provide quick feedback, allowing teams to catch and fix problems in the early stages of development, promoting faster and more reliable releases.

Impact Analysis in the context of API deprecation assists in understanding the consequences of changes on existing users. It involves evaluating dependencies, identifying affected areas, and making informed decisions to mitigate potential issues. This analysis aids in a smooth deprecation process.

Latency is a crucial metric to measure when identifying API performance bottlenecks. It represents the time taken for a request to travel from the client to the server and back. High latency can indicate potential performance issues that need attention.

Testers need to understand the inputs and outputs specified in the API documentation to effectively verify the API's behavior. Inputs refer to the data provided to the API, while outputs represent the expected results. This knowledge is crucial for testing the API under various conditions and ensuring its functionality.

The correct option is DELETE. The DELETE method is used to request the removal of a resource identified by a given URI. It is often employed in RESTful APIs to delete or remove a specific resource.

Load Balancing is essential in API Gateway testing to ensure efficient distribution of client requests to various services. It helps in optimizing the use of resources and achieving high availability and reliability in handling client requests.

API monitoring differs from traditional application monitoring by focusing on real-time data collection. It provides insights into the performance of APIs, emphasizing factors like server-side performance, network latency, and user interactions. Traditional monitoring may not capture these aspects with the same level of specificity.

In API testing, scalability is crucial for handling large data sets efficiently. It ensures that the API can handle increased load and data complexity effectively. Scalability measures the system's ability to grow and manage larger workloads without compromising performance.

The HTTP method "GET" is commonly used to retrieve data from a server. When a client sends a GET request, it is asking the server to send back a representation of a specified resource. This method is considered safe and idempotent, meaning multiple identical requests should have the same effect as a single request.

API testing involves testing the Application Programming Interface to ensure proper communication between different software components. It focuses on data formats, protocols, and interactions, unlike unit testing that primarily deals with the functionality of isolated units.