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AWScloud~10 mins

API Gateway throttling in AWS - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to set the maximum requests per second in API Gateway throttling.

AWS
api_gateway = AwsApiGateway()
api_gateway.throttling.rate_limit = [1]
Drag options to blanks, or click blank then click option'
Athrottle_limit
Brequests_per_second
C1000
Dmax_connections
Attempts:
3 left
💡 Hint
Common Mistakes
Using descriptive strings instead of numeric values.
Confusing rate limit with connection limits.
2fill in blank
medium

Complete the code to configure burst limit in API Gateway throttling settings.

AWS
api_gateway.throttling.burst_limit = [1]
Drag options to blanks, or click blank then click option'
Aburst_capacity
B500
Cmax_burst
Dthrottle_burst
Attempts:
3 left
💡 Hint
Common Mistakes
Using variable names instead of numeric values.
Confusing burst limit with rate limit.
3fill in blank
hard

Fix the error in the code to correctly apply throttling settings to a stage in API Gateway.

AWS
stage = api_gateway.create_stage('prod')
stage.[1] = api_gateway.throttling
Drag options to blanks, or click blank then click option'
Athrottling_settings
Bthrottle_settings
CthrottleConfig
Dthrottling
Attempts:
3 left
💡 Hint
Common Mistakes
Using incorrect property names like 'throttle_settings' or 'throttling'.
Missing underscores or plural forms.
4fill in blank
hard

Fill both blanks to create a throttling policy with rate and burst limits in API Gateway.

AWS
throttle_policy = {
  'rateLimit': [1],
  'burstLimit': [2]
}
Drag options to blanks, or click blank then click option'
A1000
B500
C2000
D100
Attempts:
3 left
💡 Hint
Common Mistakes
Swapping rateLimit and burstLimit values.
Using values that are too low or too high for typical throttling.
5fill in blank
hard

Fill all three blanks to define a usage plan with throttling and quota limits in API Gateway.

AWS
usage_plan = {
  'throttle': {
    'rateLimit': [1],
    'burstLimit': [2]
  },
  'quota': {
    'limit': [3],
    'period': 'MONTH'
  }
}
Drag options to blanks, or click blank then click option'
A2000
B1000
C100000
D500
Attempts:
3 left
💡 Hint
Common Mistakes
Mixing up burstLimit and rateLimit values.
Setting quota limit too low or too high.

Practice

(1/5)
1. What is the primary purpose of API Gateway throttling in AWS?
easy
A. To store API request logs permanently
B. To limit the number of requests to protect backend services from overload
C. To increase the speed of API responses
D. To encrypt API requests automatically

Solution

  1. Step 1: Understand API Gateway throttling purpose

    API Gateway throttling is designed to control the rate of incoming requests to prevent backend overload.
  2. Step 2: Evaluate options against throttling purpose

    Only To limit the number of requests to protect backend services from overload correctly describes throttling as limiting requests to protect backend services.
  3. Final Answer:

    To limit the number of requests to protect backend services from overload -> Option B
  4. Quick Check:

    Throttling = Limit requests [OK]
Hint: Throttling means limiting requests to avoid overload [OK]
Common Mistakes:
  • Confusing throttling with encryption
  • Thinking throttling speeds up responses
  • Assuming throttling stores logs
2. Which of the following correctly represents the syntax to set a rate limit of 100 requests per second in AWS API Gateway throttling settings?
easy
A. throttle(100, 200)
B. rate_limit = 100, burst_limit = 200
C. rateLimit: 100, burstLimit: 200
D. setRate(100), setBurst(200)

Solution

  1. Step 1: Identify correct AWS API Gateway throttling syntax

    The correct syntax uses camelCase keys like rateLimit and burstLimit with numeric values.
  2. Step 2: Compare options to AWS documentation style

    rateLimit: 100, burstLimit: 200 matches the correct syntax format; others use invalid or pseudo-code styles.
  3. Final Answer:

    rateLimit: 100, burstLimit: 200 -> Option C
  4. Quick Check:

    Correct syntax uses camelCase keys [OK]
Hint: AWS uses camelCase keys like rateLimit, burstLimit [OK]
Common Mistakes:
  • Using underscores instead of camelCase
  • Using function calls instead of key-value pairs
  • Confusing method names with settings
3. Given the following API Gateway throttling settings: rateLimit: 50 and burstLimit: 100, what happens when 120 requests arrive simultaneously?
medium
A. Up to 100 requests are processed immediately; the rest are throttled
B. Only 50 requests are processed; the rest are throttled
C. All 120 requests are processed immediately
D. Requests are queued and processed one by one without throttling

Solution

  1. Step 1: Understand burstLimit and rateLimit roles

    BurstLimit allows short spikes up to 100 requests at once; rateLimit controls steady rate at 50 requests per second.
  2. Step 2: Analyze 120 simultaneous requests

    Up to 100 requests are allowed immediately (burst), the remaining 20 exceed burst and get throttled.
  3. Final Answer:

    Up to 100 requests are processed immediately; the rest are throttled -> Option A
  4. Quick Check:

    BurstLimit = immediate spike limit [OK]
Hint: BurstLimit allows short spikes, rateLimit steady rate [OK]
Common Mistakes:
  • Confusing rateLimit with burstLimit
  • Assuming all requests pass immediately
  • Thinking requests queue without throttling
4. You configured API Gateway throttling with rateLimit: 200 and burstLimit: 300. However, clients report receiving HTTP 429 errors even when sending 150 requests per second. What is the most likely cause?
medium
A. The usage plan or API key limits are lower than throttling settings
B. The API Gateway cache is full, causing throttling
C. The backend service is down, causing 429 errors
D. The rateLimit and burstLimit values are too high

Solution

  1. Step 1: Understand causes of HTTP 429 in API Gateway

    429 errors mean throttling triggered due to exceeding limits.
  2. Step 2: Check usage plan and API key limits

    Usage plans or API keys can have lower throttling limits overriding global settings, causing 429 errors at lower rates.
  3. Final Answer:

    The usage plan or API key limits are lower than throttling settings -> Option A
  4. Quick Check:

    Usage plan limits override throttling [OK]
Hint: Check usage plan limits if throttling occurs unexpectedly [OK]
Common Mistakes:
  • Blaming backend service for 429 errors
  • Assuming cache affects throttling
  • Thinking high limits cause throttling
5. You design an API for a popular mobile app expecting sudden traffic spikes up to 1000 requests per second for short bursts, but steady traffic around 300 requests per second. How should you configure API Gateway throttling to handle this efficiently?
hard
A. Set rateLimit to 1000 and burstLimit to 300
B. Set both rateLimit and burstLimit to 1000
C. Set both rateLimit and burstLimit to 300
D. Set rateLimit to 300 and burstLimit to 1000

Solution

  1. Step 1: Match throttling settings to traffic patterns

    RateLimit controls steady request rate; BurstLimit allows short spikes above steady rate.
  2. Step 2: Apply to given traffic

    Set rateLimit to steady 300 requests/sec and burstLimit to 1000 for short spikes.
  3. Final Answer:

    Set rateLimit to 300 and burstLimit to 1000 -> Option D
  4. Quick Check:

    RateLimit steady, BurstLimit spike [OK]
Hint: RateLimit steady rate, BurstLimit handles spikes [OK]
Common Mistakes:
  • Swapping rateLimit and burstLimit values
  • Setting both limits too low
  • Ignoring burstLimit for spikes
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