Question 496 of 988
Implement an agentic solutionhardMultiple ChoiceObjective-mapped

Quick Answer

The correct choice is to use a token bucket rate limiter with a shared counter stored in Azure Cache for Redis. This approach works because the token bucket algorithm allows bursts of traffic up to a configured capacity while enforcing a steady long-term rate, and storing the counter in a shared cache like Redis ensures that all instances of your Azure AI Agent Service respect the same global limit of 100 requests per minute, preventing any single instance from exceeding the API’s constraints. On the AI-102 exam, this scenario tests your understanding of distributed rate limiting patterns versus client-side retry logic—a common trap is choosing exponential backoff or fixed delays, which either introduce unpredictable latency or fail to handle burst traffic gracefully. Remember the key distinction: token buckets smooth bursts without dropping requests, while retry-after headers force error handling that degrades user experience. For the exam, think “bucket for bursts, Redis for reach” to recall that a shared counter across agents is essential for global enforcement.

AI-102 Implement an agentic solution Practice Question

This AI-102 practice question tests your understanding of implement an agentic solution. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.

You are designing an agentic solution using Azure AI Agent Service with a custom skill that calls an external REST API. The API has rate limits: 100 requests per minute per client. You need to ensure the agent respects this limit without degrading user experience. Which approach should you take?

Question 1hardmultiple choice
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Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Use a token bucket rate limiter with a shared counter stored in Azure Cache for Redis

Option D is correct because a token bucket with a shared counter across all agent instances ensures global rate limiting without dropping requests unexpectedly. Option A is incorrect because 'retry-after' headers require the agent to handle 429 responses, which can degrade UX. Option B is incorrect because exponential backoff can cause delays. Option C is incorrect because a fixed delay per request does not adapt to varying traffic.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Use a token bucket rate limiter with a shared counter stored in Azure Cache for Redis

    Why this is correct

    Token bucket allows burst and respects limits globally.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Set a fixed delay of 600ms between each API call

    Why it's wrong here

    Fixed delay may underutilize or exceed limits.

  • Configure the skill to handle HTTP 429 responses with retry-after logic

    Why it's wrong here

    Handling 429s degrades UX due to delays.

  • Implement exponential backoff in the skill code

    Why it's wrong here

    Backoff can cause long pauses.

Common exam traps

Common exam trap: answer the scenario, not the keyword

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

How to think about this question

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.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

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

Got this wrong? Here's your next step.

Identify which AI-102 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

Questions learners often ask

What does this AI-102 question test?

Implement an agentic solution — This question tests Implement an agentic solution — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use a token bucket rate limiter with a shared counter stored in Azure Cache for Redis — Option D is correct because a token bucket with a shared counter across all agent instances ensures global rate limiting without dropping requests unexpectedly. Option A is incorrect because 'retry-after' headers require the agent to handle 429 responses, which can degrade UX. Option B is incorrect because exponential backoff can cause delays. Option C is incorrect because a fixed delay per request does not adapt to varying traffic.

What should I do if I get this AI-102 question wrong?

Identify which AI-102 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.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 20, 2026

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This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.