When encountering a scenario where a GraphQL query returns unexpected null fields, what aspect of the API should be primarily investigated?

  • Data Fetching Mechanism
  • Query Execution Engine
  • Resolver Functions
  • Schema Definition
In GraphQL, the query execution engine is responsible for executing the requested query and handling null fields. Investigating the query execution engine can help identify issues related to unexpected null fields.

A key challenge in DevOps is ensuring API _________ across different stages of the deployment pipeline.

  • Compatibility
  • Consistency
  • Scalability
  • Security
A key challenge in DevOps is ensuring API consistency across different stages of the deployment pipeline. Maintaining consistency in APIs is essential for seamless integration and collaboration between development, testing, and deployment phases. It ensures that APIs behave consistently, reducing the risk of errors and enhancing the overall reliability of the software delivery process.

What is the best practice for phasing out a widely used API?

  • Gradually phase out the API, supporting it for an extended period, and guiding users toward adopting newer versions or alternatives.
  • Ignore the API and let users find alternatives on their own.
  • Provide no guidance or support during the deprecation process.
  • Stop supporting the API immediately to force users to migrate quickly.
The best practice for phasing out a widely used API involves a gradual approach, continued support, and guidance for users to transition smoothly. Abruptly ending support may disrupt services for users and create dissatisfaction.

_________ is a strategy in API caching that involves storing responses based on request parameters.

  • FIFO (First In, First Out)
  • Key-based caching
  • LRU (Least Recently Used)
  • Time-based caching
In API caching, key-based caching is a strategy where responses are stored based on specific request parameters. This allows for efficient retrieval of cached data when subsequent requests share the same parameters.

SOAP APIs are more rigid in their structure due to the use of ______, while RESTful APIs offer more flexibility with ______.

  • JSON
  • WSDL
  • XML
  • YAML
SOAP APIs are typically associated with XML, which enforces a more rigid structure. On the other hand, RESTful APIs use formats like JSON, providing greater flexibility in data representation.

SOAP APIs are known for their:

  • Strong Typing
  • Loose Coupling
  • Statelessness
  • Synchronous Communication
The correct option is Strong Typing. SOAP APIs are known for enforcing strong typing, which means that the data types of the values in a message are explicitly defined. This adds a layer of rigor to data validation but may result in more complex structures.

API rate limiting is often implemented using the _________ pattern, which helps in controlling the traffic flow to the API.

  • Circuit Breaker
  • Leaky Bucket
  • Throttling
  • Token Bucket
Rate limiting is often implemented using the Leaky Bucket pattern, which controls the rate at which requests are allowed to flow to the API. The Leaky Bucket algorithm allows a constant number of requests to be processed per unit of time, helping to prevent bursts of traffic.

In API caching, _________ is used to specify how long the response should be considered fresh.

  • Cache-Control
  • ETag
  • Expires
  • Last-Modified
In API caching, the "Expires" header is used to specify the date and time until which the cached response is considered fresh. It helps clients determine whether the cached data can still be used or if a new request to the server is required.

Mocking APIs is particularly useful in a __________ environment where the real API is not yet available or is undergoing changes.

  • Development
  • Production
  • Staging
  • Testing
In a testing environment, when the real API is not accessible or is undergoing changes, mocking APIs help simulate the expected behavior. This ensures that the application can be tested thoroughly without relying on the actual API.

When testing an API Gateway, what is the importance of evaluating its ability to handle service discovery?

  • Fault Tolerance and Error Handling
  • Scalability and Performance
  • Security and Authentication
  • Service Registration and Dynamic Routing
In API Gateway testing, evaluating the ability to handle service discovery is crucial as it ensures dynamic routing and efficient communication among services. This includes service registration and dynamic routing mechanisms.