Quick Answer
The answer is the rate-limit-by-key policy. This policy is correct because it allows you to throttle API requests per user by extracting a specific JWT claim—such as the usage tier (Free, Basic, Premium)—as the rate-limiting key, enabling per-user throttling based on identity rather than a global or IP-based limit. On the AZ-204 exam, this scenario tests your understanding of how Azure API Management policies differentiate between rate limiting (controlling request frequency) and quota limiting (controlling total volume over a period), with the common trap being confusion between rate-limit-by-key and quota-by-key. Remember that rate-limit-by-key enforces a sliding window rate per key, while quota-by-key tracks cumulative usage. A useful memory tip: think “rate = speed, quota = volume”—if the requirement says “throttle per user,” you need the key-based rate policy tied to the JWT claim.
This AZ-204 practice question tests your understanding of connect to and consume azure services and third-party services. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company uses Azure API Management (APIM) to expose a set of REST APIs. A new requirement mandates that all API calls must be throttled per user based on usage tiers (Free, Basic, Premium). User identity is provided via a JWT token. Which policy should the developer configure in APIM to enforce this throttling?
rate-limit policy
Why wrong: rate-limit applies globally, not per user.
rate-limit-by-key policy
rate-limit-by-key can throttle based on a key extracted from JWT claims, enabling per-user throttling.
quota-by-key policy
Why wrong: quota-by-key limits total calls over a period, not the rate.
IP-based throttling
Why wrong: IP-based throttling does not consider user identity.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
rate-limit-by-key policy
Option B is correct because the rate-limit-by-key policy can throttle calls based on a key extracted from the JWT claim (e.g., subscription tier). Option A is incorrect because rate-limit policy applies globally, not per user. Option C is incorrect because quota-by-key limits total calls over a period, not rate. Option D is incorrect because IP-based throttling does not consider user identity.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
rate-limit policy
Why it's wrong here
rate-limit applies globally, not per user.
rate-limit-by-key policy
Why this is correct
rate-limit-by-key can throttle based on a key extracted from JWT claims, enabling per-user throttling.
Related concept
Read the scenario before looking for a memorised answer.
quota-by-key policy
Why it's wrong here
quota-by-key limits total calls over a period, not the rate.
IP-based throttling
Why it's wrong here
IP-based throttling does not consider user identity.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Identify which AZ-204 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Connect to and consume Azure services and third-party services — This question tests Connect to and consume Azure services and third-party services — Read the scenario before looking for a memorised answer..
The correct answer is: rate-limit-by-key policy — Option B is correct because the rate-limit-by-key policy can throttle calls based on a key extracted from the JWT claim (e.g., subscription tier). Option A is incorrect because rate-limit policy applies globally, not per user. Option C is incorrect because quota-by-key limits total calls over a period, not rate. Option D is incorrect because IP-based throttling does not consider user identity.
Identify which AZ-204 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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