Question 501 of 988
Implement generative AI solutionsmediumMultiple ChoiceObjective-mapped

Quick Answer

The correct action is to navigate to Azure AI Content Safety and view the policy 'MyPolicy'. This is because Azure AI Content Safety is the dedicated service for managing and inspecting the detailed configuration of content filtering policies, including custom policies that define severity thresholds for categories like hate speech. While the PowerShell command confirms that 'MyPolicy' is applied to the deployment, it does not reveal the policy's rules; only within the Content Safety portal can you verify that hate speech is blocked by checking the specific severity levels and filter actions. On the AI-102 exam, this tests your understanding of the separation between policy assignment (via PowerShell or deployment properties) and policy inspection (via the Content Safety service). A common trap is assuming the deployment properties in the Azure Portal show rule details, but they only display the policy name. Memory tip: "PowerShell shows the name, Content Safety shows the game."

AI-102 Implement generative AI solutions Practice Question

This AI-102 practice question tests your understanding of implement generative ai solutions. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. 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.

```
$deployment = Get-AzCognitiveServicesAccountDeployment -ResourceGroupName "myRG" -AccountName "myOpenAI" -Name "gpt35"
$deployment.Properties.RaiPolicyName
```

Output: "MyPolicy"

You run the above PowerShell command to check the responsible AI policy applied to an Azure OpenAI Service deployment. The output shows 'MyPolicy'. You need to verify that the policy blocks hate speech. What should you do?

Question 1mediummultiple choice
Full question →

Exhibit

Refer to the exhibit.

```
$deployment = Get-AzCognitiveServicesAccountDeployment -ResourceGroupName "myRG" -AccountName "myOpenAI" -Name "gpt35"
$deployment.Properties.RaiPolicyName
```

Output: "MyPolicy"

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

Navigate to Azure AI Content Safety and view the policy 'MyPolicy'.

Option B is correct because Azure AI Content Safety is the dedicated service for managing and viewing the details of content filtering policies, including custom policies like 'MyPolicy'. The PowerShell command only confirms the policy name is applied to the deployment; to verify that the policy blocks hate speech, you must inspect the policy's configuration (e.g., severity thresholds for hate categories) within the Azure AI Content Safety portal. The Azure Portal deployment properties only show the policy name, not its rules.

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 the Azure Portal to review the deployment's properties.

    Why it's wrong here

    Portal shows the policy name but not its rules.

  • Navigate to Azure AI Content Safety and view the policy 'MyPolicy'.

    Why this is correct

    Content Safety is where policies are defined and can be viewed.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Run Get-AzCognitiveServicesAccountDeployment with -ExpandProperties.

    Why it's wrong here

    The cmdlet does not expand policy details.

  • Use Azure Monitor to check the deployment's logs.

    Why it's wrong here

    Logs show events, not policy configuration.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates assume the deployment properties or PowerShell output contain the policy's rule details, when in fact they only show the policy name, leading them to choose Option A or C instead of navigating to the dedicated Content Safety service where the actual filter rules are configured.

Trap categories for this question

  • Command / output trap

    Portal shows the policy name but not its rules.

Detailed technical explanation

How to think about this question

Azure OpenAI Service content filtering relies on Azure AI Content Safety, which uses severity levels (0-4) for categories like hate, sexual, violence, and self-harm. A custom policy like 'MyPolicy' defines which severity levels are allowed or blocked for each category; for example, blocking hate speech might mean rejecting any content with severity 2 or higher. Under the hood, the policy is stored as a JSON configuration in the Content Safety resource, and the deployment references it via a resource ID; inspecting the policy in the Content Safety portal reveals the exact thresholds and whether hate speech is filtered.

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: Navigate to Azure AI Content Safety and view the policy 'MyPolicy'. — Option B is correct because Azure AI Content Safety is the dedicated service for managing and viewing the details of content filtering policies, including custom policies like 'MyPolicy'. The PowerShell command only confirms the policy name is applied to the deployment; to verify that the policy blocks hate speech, you must inspect the policy's configuration (e.g., severity thresholds for hate categories) within the Azure AI Content Safety portal. The Azure Portal deployment properties only show the policy name, not its rules.

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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Same concept, more angles

1 more ways this is tested on AI-102

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. A company is building a chatbot using Azure OpenAI Service to answer customer queries. The chatbot must not generate harmful or offensive content. Which Azure AI service should be integrated to filter inappropriate content?

medium
  • A.Azure Bot Service
  • B.Azure Cognitive Search
  • C.Azure AI Content Safety
  • D.Azure Form Recognizer

Why C: Azure AI Content Safety is the correct service because it provides built-in content moderation APIs that detect and filter harmful or offensive text and images, including hate speech, violence, self-harm, and sexual content. Integrating this service with the Azure OpenAI chatbot ensures that user inputs and model outputs are screened in real time, preventing the generation of inappropriate responses.

Last reviewed: Jun 24, 2026

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