350-201 Question 258
Select 3You are integrating a third-party threat intelligence platform with Cisco SecureX through its API. During the integration, you notice that some API requests fail intermittently. Upon investigation, you identify that the failures are caused by exceeding the API's rate limit and experiencing timeout errors. What constraints should you consider implementing to ensure successful integration?
- A
Implement a retry mechanism with exponential backoff for handling rate limits and timeouts.
- B
Increase the size of the payload in each request to reduce the number of API calls.
- C
Use API pagination to handle large data sets efficiently within rate limits.
- D
Define strict timeout values on your client-side to terminate requests quickly.
- E
Monitor the API's documentation for rate limit details and adjust request frequency accordingly.
Show answer and explanation
Correct answers: A, C, E
Explanation
When consuming APIs, it is critical to account for constraints such as rate limits, timeouts, and payload restrictions. By implementing a retry mechanism with exponential backoff, using pagination for large data sets, and staying informed about the API's rate limit guidelines, you can reduce the likelihood of errors and ensure a stable integration. Incorrect approaches, such as increasing payload size or overly strict timeout values, can exacerbate issues rather than resolve them.
- A. Correct.
Implementing a retry mechanism with exponential backoff is a best practice to handle rate limits and timeouts. This approach ensures that you do not overwhelm the API and allows time for the rate limit to reset.
- B. Incorrect.
Increasing the size of the payload in each request is not a valid solution. Larger payloads may result in API errors if they exceed the maximum size allowed and can lead to inefficient processing.
- C. Correct.
Using API pagination is crucial for managing large data sets effectively. It ensures compliance with rate limits by splitting requests into smaller, manageable chunks.
- D. Incorrect.
Defining strict timeout values on the client-side may lead to premature termination of requests, especially when the API is under heavy load or has a longer response time.
- E. Correct.
Monitoring the API documentation for rate limit details and adjusting the request frequency accordingly is essential to avoid exceeding the limits and encountering errors.