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AI-102 Implement generative AI solutions Practice Question

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?

⚠ Common exam trap

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.

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.

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.

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AI-102 Implement generative AI solutions Practice Question

Exhibit

Why each option matters

Option-by-option breakdown

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