What does REST stand for in the context of web APIs?
- Rapid Execution and Storage Technology
- Redundant Server Transaction
- Remote Endpoint Service Transfer
- Representational State Transfer
In the context of web APIs, REST stands for "Representational State Transfer." It is an architectural style for designing networked applications. REST focuses on the concept of resources and uses standard HTTP methods to perform CRUD (Create, Read, Update, Delete) operations on these resources, making it a popular choice for building web APIs.
How can Cross-Site Request Forgery (CSRF) be mitigated in APIs?
- Employing anti-phishing measures
- Implementing input validation
- Using anti-virus software
- Using unique, unpredictable tokens
Mitigating Cross-Site Request Forgery (CSRF) attacks in APIs involves using unique, unpredictable tokens. These tokens are included in each request and are validated by the API to ensure that the request originates from an authorized source. This helps prevent malicious requests from being executed on behalf of authenticated users.
In-depth API documentation is crucial for ensuring _____ and ease of use for developers integrating with the API.
- Security
- Compatibility
- Developer Adoption
- Scalability
In-depth API documentation is crucial for ensuring developer adoption and ease of use for developers integrating with the API. Well-documented APIs provide developers with the information they need to understand, implement, and utilize the API effectively.
Imagine you are developing a real-time application that requires low latency and high efficiency. Which API architectural style would you consider and why?
- GraphQL
- REST (Representational State Transfer)
- SOAP (Simple Object Access Protocol)
- gRPC (Google Remote Procedure Call)
For a real-time application with a focus on low latency and high efficiency, GraphQL is a suitable choice. GraphQL allows clients to request only the specific data they need, reducing over-fetching and under-fetching, which can lead to improved performance and responsiveness.
Suppose you are building a large-scale e-commerce application using ASP.NET Core. How would you design your APIs to handle a high volume of requests efficiently?
- Design the APIs with complex routing logic
- Implement rate limiting and caching mechanisms
- Increase the API response times and latency
- Use a single monolithic server for all requests
To handle a high volume of requests efficiently in a large-scale e-commerce application, it's essential to implement rate limiting and caching mechanisms. Rate limiting controls the number of requests from a client, while caching stores frequently accessed data, reducing the load on the server and improving response times.
Which library is commonly used with GraphQL to build a client-side application?
- jQuery
- React
- Java
- Python
React is commonly used with GraphQL to build client-side applications. React is a popular JavaScript library for building user interfaces, and it can work seamlessly with GraphQL to fetch and display data. The other options, such as jQuery, Java, and Python, are not typically used as closely with GraphQL for client-side development.
What is the significance of routing in Express and Flask when creating APIs?
- Routing defines the paths and HTTP methods that an API responds to, directing incoming requests to specific endpoints and controllers.
- Routing helps encrypt API data for secure transmission.
- Routing is mainly for optimizing API performance by reducing the number of endpoints.
- Routing is used for managing API documentation and versioning.
Routing in Express and Flask defines the paths and HTTP methods that an API responds to. It directs incoming requests to specific endpoints and controllers. This is crucial for designing a well-structured API that handles different types of requests. Optimizing performance and managing documentation or versioning are not the primary purposes of routing in the context of APIs. Encrypting API data is not directly related to routing.
An API key is a unique identifier that is passed along with an HTTP request to ______ access to the API.
- Authenticate
- Establish
- Grant
- Verify
An API key is a unique identifier that is passed along with an HTTP request to verify access to the API. It acts as a security token, allowing the server to confirm the client's identity.
What considerations should be taken into account when conducting load testing on APIs in a microservices architecture?
- Analyzing network bandwidth
- Monitoring CPU usage of the API servers
- Scaling horizontally to accommodate loads
- Testing individual API endpoints
When conducting load testing on APIs in a microservices architecture, it's crucial to consider the scalability of the architecture. Horizontal scaling allows you to add more API servers as needed to accommodate loads. It's not just about testing individual endpoints, but also about ensuring the entire system can handle increased traffic. Network bandwidth and CPU usage should also be monitored, but horizontal scaling is a key consideration for handling loads.
Rate limiting is a practice that controls the number of _____ a user can make to an API within a given time frame.
- Endpoints
- Headers
- Requests
- Responses
Rate limiting is a practice that controls the number of requests a user can make to an API within a given time frame. This helps prevent abuse, protect the server, and ensure fair usage among all users.