What considerations should be taken into account when optimizing an API for a large number of simultaneous requests?

  • Decrease the API's scalability.
  • Ensure the API is stateful.
  • Increase the API's response time.
  • Use techniques like load balancing and caching.
When optimizing an API for a large number of simultaneous requests, it's essential to use techniques like load balancing and caching. Load balancing distributes incoming requests across multiple servers to prevent overload, and caching stores frequently requested data to reduce the load on the server and improve response times, making the API more scalable and responsive.

Can you describe the role of Identity Provider (IdP) in OpenID Connect?

  • A component responsible for API rate limiting
  • A database for user profiles and data
  • A service that issues authentication tokens
  • A software for load balancing
In OpenID Connect, an Identity Provider (IdP) is a crucial component responsible for issuing authentication tokens to users. It authenticates users and provides them with identity tokens, which are then used to access resources or APIs. Understanding the role of IdPs is vital in the context of user authentication and authorization.

Why might a developer choose to use JWT for authorization over other methods?

  • Centralized authentication control
  • Extensive access control mechanisms
  • Simplicity and portability
  • Strong encryption and obfuscation
Developers might choose JWT (JSON Web Tokens) for authorization due to their simplicity and portability. JWTs are self-contained and can be easily passed between parties, making them an efficient choice for handling user authentication and authorization. They are particularly useful when a stateless and distributed authorization method is required.

Relay optimizes for performance with a local store that keeps track of all the _____ fetched via GraphQL queries.

  • Data and schema
  • Data fetched via REST APIs
  • Errors and exceptions
  • Relational databases and tables
Relay optimizes for performance with a local store that keeps track of all the data and schema fetched via GraphQL queries. This local store allows for efficient data caching and management, improving the performance of applications using GraphQL with Relay.

You are tasked with enhancing the security of an existing API. How would integrating OpenID Connect and RBAC contribute to improving the security?

  • Integrating OpenID Connect adds a robust authentication layer to the API, while RBAC ensures that only authorized users have access to specific resources, enhancing overall security.
  • OpenID Connect and RBAC have no impact on API security.
  • OpenID Connect increases the risk of security breaches.
  • RBAC should be used exclusively without OpenID Connect for security improvement.
Integrating OpenID Connect and RBAC is a powerful combination for enhancing API security. OpenID Connect provides strong authentication, verifying the user's identity, while RBAC ensures that only authorized users have access to specific resources. Together, they improve overall security by preventing unauthorized access and data breaches. The other options are incorrect and do not contribute positively to API security.

How do HTTP methods (like GET, POST, PUT, DELETE) correlate with operations in Web APIs?

  • They are only used for authentication.
  • They are used for coding web pages.
  • They have no relation to Web APIs.
  • They map to common CRUD operations (Create, Read, Update, Delete) in Web APIs.
HTTP methods like GET, POST, PUT, and DELETE directly correspond to common CRUD operations in Web APIs. GET retrieves data, POST creates new data, PUT updates existing data, and DELETE removes data. This correlation simplifies the interaction with Web APIs and helps developers understand the purpose of each request method.

How can API throttling be configured to adapt to varying server loads and usage patterns?

  • Apply throttling only during peak traffic hours.
  • Rely on user feedback to determine throttling limits.
  • Set a fixed throttling rate and stick to it.
  • Use a dynamic throttling approach based on server metrics and usage data.
To adapt API throttling to varying server loads and usage patterns, it's essential to use a dynamic approach. This involves analyzing server metrics and usage data to adjust throttling limits in real-time, ensuring optimal performance and resource utilization based on the current situation.

Which HTTP method is commonly used to retrieve data from an API endpoint?

  • DELETE (HTTP DELETE method)
  • GET (HTTP GET method)
  • POST (HTTP POST method)
  • PUT (HTTP PUT method)
The HTTP GET method is commonly used to retrieve data from an API endpoint. When a client sends a GET request, it asks the server to retrieve a resource, such as information or data, from the specified URL or endpoint. This method is safe and idempotent, meaning it should not change the server's state and can be called repeatedly with the same result.

You are tasked with designing a Web API that will be used by several different client applications. What factors would you consider to ensure that your API is robust and easy to use?

  • Avoid versioning your API and make frequent breaking changes
  • Design a clear and consistent API structure with comprehensive documentation
  • Limit the documentation to provide minimal information
  • Use obscure and non-standard authentication methods
To ensure an API is robust and easy to use by multiple client applications, it's essential to design a clear and consistent API structure. This includes well-documented endpoints, standardized authentication, and versioning to avoid breaking changes. Using obscure authentication, minimal documentation, and frequent breaking changes would make the API less robust and challenging for clients to use.

By implementing API throttling, a server can serve a fixed number of requests per ____ , ensuring fair usage.

  • Day
  • Hour
  • Minute
  • Month
By implementing API throttling, a server can serve a fixed number of requests per minute, ensuring fair usage. This technique helps control traffic and prevent excessive usage that can overload the server.