API analytics and usage metrics in Rest API - Practice Problems & Coding Challenges

Challenge - 5 Problems

❓ Predict Output

intermediate

API Request Count Calculation

Given the following API usage log data, what is the total number of requests made to the API?

Rest API

api_logs = [
  {"endpoint": "/users", "method": "GET"},
  {"endpoint": "/users", "method": "POST"},
  {"endpoint": "/orders", "method": "GET"},
  {"endpoint": "/users", "method": "GET"},
  {"endpoint": "/orders", "method": "POST"}
]
total_requests = len(api_logs)
print(total_requests)

A 5

B 2

C 4

D 3

💡 Hint

Count each dictionary entry as one request.

The list contains 5 dictionaries, each representing one API request, so the total is 5.

🧠 Conceptual

intermediate

Understanding API Rate Limiting

Which of the following best describes the purpose of API rate limiting?

A To cache API responses for faster access

B To encrypt API data for secure transmission

C To log all API errors for debugging

D To restrict the number of API calls a client can make in a given time to prevent overload

💡 Hint

Think about controlling traffic to the API.

Rate limiting controls how many requests a client can make to protect the API from being overwhelmed.

❓ Predict Output

advanced

Calculating Average Response Time

What is the output of the following code that calculates the average response time from API metrics?

Rest API

response_times = [120, 150, 100, 130, 110]
avg_response_time = sum(response_times) / len(response_times)
print(round(avg_response_time))

A 122.0

B 122.5

C 122

D 121

💡 Hint

Sum all times and divide by count, then round to nearest integer.

Sum is 610, divided by 5 is 122.0, rounded is 122.

🔧 Debug

advanced

Identify the Error in API Usage Data Aggregation

What error will the following code raise when trying to aggregate API calls by endpoint?

Rest API

api_calls = [
  {"endpoint": "/login", "count": 10},
  {"endpoint": "/logout", "count": 5},
  {"endpoint": "/login", "count": 7}
]

aggregated = {}
for call in api_calls:
    aggregated[call["endpoint"]] += call["count"]
print(aggregated)

A KeyError

B TypeError

C SyntaxError

D No error, outputs {'/login': 17, '/logout': 5}

💡 Hint

Check if dictionary keys exist before adding.

The dictionary 'aggregated' is empty initially, so accessing aggregated[call["endpoint"]] before assignment causes KeyError.

🚀 Application

expert

Determine the Number of Unique API Users

Given the following API usage data, how many unique users accessed the API?

Rest API

api_usage = [
  {"user_id": "u1", "endpoint": "/data"},
  {"user_id": "u2", "endpoint": "/data"},
  {"user_id": "u1", "endpoint": "/status"},
  {"user_id": "u3", "endpoint": "/data"},
  {"user_id": "u2", "endpoint": "/status"}
]
unique_users = len(set(entry["user_id"] for entry in api_usage))
print(unique_users)

A 2

B 3

C 5

D 4

💡 Hint

Count distinct user_id values.

There are three unique user_ids: u1, u2, and u3.