How does the HTTP status code 404 differ from 500?

  • 404 - Resource not found
  • 404 - Server Error
  • 500 - Internal Server Error
  • 500 - Resource not found
The HTTP status code 404 indicates that the requested resource is not found, while 500 indicates an internal server error. These codes are crucial for understanding and troubleshooting web interactions.

Which tool is commonly used for logging API activity in production?

  • Elasticsearch
  • Postman
  • Swagger
  • Winston
Winston is a widely used logging tool for API activity in production. It allows developers to capture and analyze logs effectively. With features like log rotation and customizable log levels, Winston provides the necessary tools to manage and troubleshoot API activities in a production environment.

When conducting API tests, what is the importance of HTTP status codes?

  • Indicate success or failure of a request
  • None of the above
  • Provide encryption for the data transfer
  • Specify the programming language used
HTTP status codes convey whether a request was successful or not, helping testers understand the outcome and take appropriate actions based on the code received.

How do idempotency considerations in API design affect error handling?

  • They complicate error handling by introducing unnecessary complexity
  • They have no impact on error handling
  • They make error handling irrelevant
  • They simplify error handling by ensuring the same request can be retried without side effects
Idempotency considerations in API design are crucial for error handling. When an operation is idempotent, it means that repeating the same request will not produce different results, making error handling more predictable and manageable. By ensuring that the same request can be retried without causing unintended side effects, idempotency simplifies error handling in API design.

In a microservices architecture, how do inter-service communications affect API performance?

  • Decreased overall system stability
  • Improved performance as services can work independently
  • Increased latency due to network calls
  • No impact on API performance
In a microservices architecture, inter-service communications often involve network calls, which can introduce latency and impact API performance. Understanding and managing this communication is crucial for optimizing performance.

Which OAuth grant type is most suitable for a web application accessing an API on behalf of a user?

  • Authorization Code
  • Client Credentials
  • Implicit
  • Resource Owner Password Credentials
OAuth 2.0 provides the Authorization Code grant type for web applications, allowing them to obtain access tokens securely on behalf of a user. This involves exchanging an authorization code for an access token.

In negative testing, checking for _________ helps to ensure that API does not expose sensitive data on invalid inputs.

  • Error Handling
  • Exception Handling
  • Security Vulnerabilities
  • Unauthorized Access
In negative testing, checking for unauthorized access helps ensure that the API does not expose sensitive data when faced with invalid inputs. Unauthorized access attempts are common attack vectors, and robust security measures are essential to protect sensitive information.

Why is it important to have real-time monitoring for APIs in production?

  • To enhance development speed
  • To generate reports for management
  • To identify issues promptly
  • To reduce server costs
Real-time monitoring for APIs in production is crucial for identifying issues promptly. By receiving immediate feedback on performance, errors, and user interactions, development teams can quickly address problems, ensuring a seamless user experience and minimizing potential business impact.

_________ is a critical factor in performance testing that measures the time taken for an API to respond to a request.

  • Bandwidth
  • Latency
  • Redundancy
  • Throughput
Latency is the time delay between the initiation of a request and the response. It plays a crucial role in determining the efficiency and responsiveness of an API during performance testing.

In the context of API testing, what is the primary goal of Equivalence Partitioning?

  • To achieve 100% test coverage
  • To divide input data into groups for testing
  • To identify invalid inputs
  • To reduce testing effort
The primary goal of Equivalence Partitioning in API testing is to divide the input data into groups or classes that are expected to exhibit similar behavior. This helps in designing test cases that cover each class, ensuring comprehensive testing while minimizing redundancy and effort.