Recall & Review
beginner
What is API analytics?
API analytics is the process of collecting and analyzing data about how an API is used, including who uses it, how often, and what actions are performed.
Click to reveal answer
beginner
Name three common usage metrics tracked in API analytics.
Common usage metrics include: 1) Number of API calls, 2) Response time, 3) Error rates.
Click to reveal answer
intermediate
Why is tracking API response time important?
Tracking response time helps identify performance issues and ensures the API is fast and reliable for users.
Click to reveal answer
intermediate
What does an API error rate indicate?
Error rate shows the percentage of API requests that fail, helping detect problems or bugs in the API.
Click to reveal answer
intermediate
How can API analytics help improve user experience?
By analyzing usage patterns and errors, developers can fix issues, optimize performance, and add features users need.
Click to reveal answer
Which metric shows how many times an API is called?
✗ Incorrect
Number of API calls counts how often the API is used.
What does a high API error rate usually mean?
✗ Incorrect
A high error rate means many API requests are failing.
Why track API response time?
✗ Incorrect
Response time measures how quickly the API answers requests.
Which of these is NOT a typical API usage metric?
✗ Incorrect
User's screen resolution is unrelated to API usage metrics.
How can API analytics improve an API?
✗ Incorrect
Analytics help find problems so developers can fix and improve the API.
Explain what API analytics is and why it matters.
Think about how data helps improve the API.
You got /3 concepts.
List and describe three key API usage metrics.
Focus on what each metric measures.
You got /4 concepts.