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Implement generative AI solutions →easyMultiple ChoiceObjective-mapped

AI-102 Implement generative AI solutions Practice Question

This AI-102 practice question tests your understanding of implement generative ai solutions. 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.

Exhibit

Refer to the exhibit. {
  "deploymentName": "gpt-4",
  "model": {
    "format": "OpenAI",
    "name": "gpt-4",
    "version": "0613"
  },
  "scaleSettings": {
    "scaleType": "Standard"
  }
}

Refer to the exhibit. You are deploying a GPT-4 model using Azure OpenAI Service. The deployment uses the Standard scale type. Which statement is true about this deployment?

Exhibit

Refer to the exhibit. {
  "deploymentName": "gpt-4",
  "model": {
    "format": "OpenAI",
    "name": "gpt-4",
    "version": "0613"
  },
  "scaleSettings": {
    "scaleType": "Standard"
  }
}

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

✓

The deployment uses pay-as-you-go pricing and global rate limits.

The Standard scale type in Azure OpenAI Service uses pay-as-you-go pricing, where you are billed based on the number of tokens processed. It also enforces global rate limits (e.g., tokens per minute) that apply across all deployments in the region, rather than providing dedicated capacity. Option D correctly identifies these characteristics.

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.

  • ✗

    The model version is not specified and will default to the latest.

    Why it's wrong here

    The version is explicitly set to '0613'.

  • ✗

    Content filtering is disabled for this deployment.

    Why it's wrong here

    Content filtering is enabled by default; there is no indication it is disabled.

  • ✗

    The deployment uses provisioned throughput with reserved capacity.

    Why it's wrong here

    Provisioned throughput uses a different scale type, not Standard.

  • ✓

    The deployment uses pay-as-you-go pricing and global rate limits.

    Why this is correct

    Standard scale type uses pay-as-you-go with global rate limits.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Microsoft often tests the distinction between Standard (pay-as-you-go with rate limits) and Provisioned (reserved capacity) scale types, and candidates mistakenly associate 'Standard' with default model versions or disabled content filtering.

Detailed technical explanation

How to think about this question

Under the hood, the Standard scale type uses a shared pool of GPU resources across multiple customers, with rate limits enforced at the deployment and regional level (e.g., 240K tokens per minute for GPT-4). This contrasts with the Provisioned scale type, which allocates dedicated throughput units (PTUs) for predictable latency and no rate limits. In real-world scenarios, choosing Standard is cost-effective for variable workloads, but you must handle rate-limit errors (HTTP 429) gracefully in your application logic.

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.

TExam Day Tips

  • 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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this AI-102 question test?

Implement generative AI solutions — This question tests Implement generative AI solutions — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: The deployment uses pay-as-you-go pricing and global rate limits. — The Standard scale type in Azure OpenAI Service uses pay-as-you-go pricing, where you are billed based on the number of tokens processed. It also enforces global rate limits (e.g., tokens per minute) that apply across all deployments in the region, rather than providing dedicated capacity. Option D correctly identifies these characteristics.

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

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 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.