Question 253 of 988

Implement generative AI solutions →hardMultiple ChoiceObjective-mapped

Quick Answer

The answer is to change the SKU name to 'ProvisionedManaged' in the ARM template. This modification is required because the default SKU name 'Standard' configures pay-per-token consumption, whereas 'ProvisionedManaged' instructs the resource provider to allocate dedicated throughput capacity, known as Provisioned Throughput Units (PTU), ensuring consistent latency and predictable performance for the gpt-35-turbo deployment. On the Microsoft Azure AI Engineer Associate AI-102 exam, this distinction tests your understanding of scaling models for production workloads versus development or variable usage; a common trap is confusing the capacity value (100) with the SKU type, or assuming a separate resource type is needed. Remember, the SKU name is the switch: Standard for consumption, ProvisionedManaged for dedicated throughput. A useful memory tip is to think "ProvisionedManaged = Predictable Managed Throughput," contrasting with the variable nature of Standard.

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.

```json
{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "resources": [
    {
      "type": "Microsoft.CognitiveServices/accounts",
      "apiVersion": "2023-05-01",
      "name": "myOpenAI",
      "location": "eastus",
      "sku": {
        "name": "S0"
      },
      "kind": "OpenAI",
      "properties": {
        "customSubDomainName": "myopenai"
      }
    },
    {
      "type": "Microsoft.CognitiveServices/accounts/deployments",
      "apiVersion": "2023-05-01",
      "name": "myOpenAI/gpt-35-turbo",
      "dependsOn": [
        "[resourceId('Microsoft.CognitiveServices/accounts', 'myOpenAI')]"
      ],
      "sku": {
        "name": "Standard",
        "capacity": 100
      },
      "properties": {
        "model": {
          "format": "OpenAI",
          "name": "gpt-35-turbo",
          "version": "0613"
        },
        "raiPolicyName": "MyPolicy"
      }
    }
  ]
}
```

You are reviewing an ARM template for deploying Azure OpenAI Service. The template includes a deployment for gpt-35-turbo with a capacity of 100. You need to ensure that the deployment uses provisioned throughput instead of standard. What should you modify?

Question 1hardmultiple choice

Full question →

Exhibit

Refer to the exhibit.

```json
{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "resources": [
    {
      "type": "Microsoft.CognitiveServices/accounts",
      "apiVersion": "2023-05-01",
      "name": "myOpenAI",
      "location": "eastus",
      "sku": {
        "name": "S0"
      },
      "kind": "OpenAI",
      "properties": {
        "customSubDomainName": "myopenai"
      }
    },
    {
      "type": "Microsoft.CognitiveServices/accounts/deployments",
      "apiVersion": "2023-05-01",
      "name": "myOpenAI/gpt-35-turbo",
      "dependsOn": [
        "[resourceId('Microsoft.CognitiveServices/accounts', 'myOpenAI')]"
      ],
      "sku": {
        "name": "Standard",
        "capacity": 100
      },
      "properties": {
        "model": {
          "format": "OpenAI",
          "name": "gpt-35-turbo",
          "version": "0613"
        },
        "raiPolicyName": "MyPolicy"
      }
    }
  ]
}
```

A
Change the sku name to 'ProvisionedManaged'.
ProvisionedManaged is the sku for provisioned throughput.
B
Remove the raiPolicyName property.
Why wrong: raiPolicyName is for responsible AI, not throughput.
C
Increase the capacity to 200.
Why wrong: Capacity is the number of TPM, not throughput type.
D
Change the model format to 'GPT-4'.
Why wrong: Model format does not affect throughput type.

Full breakdown with real-world context →

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

✓

Change the sku name to 'ProvisionedManaged'.

To use provisioned throughput (PTU) with Azure OpenAI Service, you must set the SKU name to 'ProvisionedManaged' in the ARM template. The default SKU is 'Standard', which uses pay-per-token consumption. Changing the SKU name to 'ProvisionedManaged' tells the resource provider to allocate dedicated throughput capacity for the deployment, ensuring consistent latency and throughput regardless of other workloads.

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.

✓
Change the sku name to 'ProvisionedManaged'.
Why this is correct
ProvisionedManaged is the sku for provisioned throughput.
Related concept
Read the scenario before looking for a memorised answer.
✗
Remove the raiPolicyName property.
Why it's wrong here
raiPolicyName is for responsible AI, not throughput.
✗
Increase the capacity to 200.
Why it's wrong here
Capacity is the number of TPM, not throughput type.
✗
Change the model format to 'GPT-4'.
Why it's wrong here
Model format does not affect throughput type.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often think increasing capacity or changing the model version enables provisioned throughput, but the exam tests the specific SKU name 'ProvisionedManaged' as the only way to switch from standard to provisioned throughput in an ARM template.

Detailed technical explanation

How to think about this question

Provisioned throughput in Azure OpenAI is billed as a reserved capacity (PTU) rather than per-token consumption, and it is configured via the 'sku' object in the ARM template with 'name' set to 'ProvisionedManaged' and 'capacity' representing the number of provisioned throughput units. Under the hood, this allocates dedicated compute resources for the deployment, guaranteeing a fixed number of tokens per minute (TPM) with minimal latency variance. In real-world scenarios, this is critical for production applications requiring predictable performance, such as real-time chatbots or high-throughput data processing pipelines.

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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

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: Change the sku name to 'ProvisionedManaged'. — To use provisioned throughput (PTU) with Azure OpenAI Service, you must set the SKU name to 'ProvisionedManaged' in the ARM template. The default SKU is 'Standard', which uses pay-per-token consumption. Changing the SKU name to 'ProvisionedManaged' tells the resource provider to allocate dedicated throughput capacity for the deployment, ensuring consistent latency and throughput regardless of other workloads.

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: Jun 24, 2026

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