AI-102 Timed Practice Test 1 — 10 Questions

Question 1

Drag and drop the steps to set up Azure AI Content Safety for content moderation into the correct order.

Question 2

Drag and drop the steps to configure an Azure AI Search index with a custom skill into the correct order.

Question 3

Drag and drop the steps to deploy a custom language model using Azure AI Language into the correct order.

Question 4

Drag and drop the steps to implement an Azure AI Bot Service with QnA Maker into the correct order.

Question 5

A company is using Azure AI Vision to analyze images from a manufacturing line. The solution must detect defects in real-time. The team discovers that the model's accuracy drops significantly when images are captured under different lighting conditions. What is the best approach to improve the model's robustness?

Accepted Answer

Retrain the model using images captured under various lighting conditions, using data augmentation.. Option C is correct because retraining with augmented data (different lighting) directly addresses the issue. Option A is wrong because it only adds variation but does not ensure the model generalizes to new conditions. Option B is wrong because a different model (e.g., Custom Vision) may still need training data. Option D is wrong because pre-processing alone cannot compensate for lack of training data.

Answer

Apply image pre-processing to normalize lighting before sending to the model.

Answer

Increase the number of training images without varying lighting conditions.

Answer

Use a pre-built model from Azure AI Vision instead of a custom model.

Question 6

A company is deploying a generative AI solution using Azure OpenAI Service to generate product descriptions. The solution must comply with responsible AI principles, specifically ensuring that generated content does not include harmful or offensive language. Which Azure AI service feature should they implement to automatically filter the output?

Accepted Answer

Enable the default content filtering system in Azure OpenAI Service.. Option A is correct because Azure OpenAI Service includes a built-in default content filtering system that automatically screens generated outputs for harmful or offensive language, aligning with responsible AI principles. This system operates at the service level without additional configuration, making it the simplest and most direct way to filter product descriptions for compliance.

Answer

Configure Prompt Shields in Azure AI Content Safety.

Answer

Use Azure AI Content Safety with a custom category severity threshold.

Answer

Use groundedness detection in Azure AI Content Safety.

Question 7

Your organization has a large repository of technical manuals in PDF format. You need to build a chatbot that can answer questions about the content of these manuals. Which combination of Azure services should you use?

Accepted Answer

Azure AI Search and Azure OpenAI. Option A is correct because Azure AI Search provides the indexing and retrieval capabilities needed to search through the PDF content, while Azure OpenAI (specifically GPT models) can generate natural language answers based on the retrieved passages. This combination enables a RAG (Retrieval-Augmented Generation) pattern where the search engine finds relevant text chunks from the manuals and the language model formulates a coherent answer.

Answer

Azure AI Speech and Azure OpenAI

Answer

Azure AI Language and Azure AI Document Intelligence

Answer

Azure AI Document Intelligence and Azure Bot Service

Question 8

A company is building a custom question-answering solution using Azure AI Language. They need to ensure that the model can provide answers from a set of internal documents, but only to authenticated users from the company's Azure Active Directory tenant. The solution should minimize latency and cost. Which deployment option should the team choose?

Accepted Answer

Deploy a custom question-answering model using a dedicated Azure AI Language resource with a private endpoint and managed identity.. Option A is correct because deploying a custom question-answering model with a dedicated Azure AI Language resource, a private endpoint, and managed identity ensures that only authenticated users from the company's Azure AD tenant can access the solution via private network connectivity, minimizing latency by avoiding public internet routing and reducing cost by using a dedicated (not serverless) resource that can be right-sized.

Answer

Use the public endpoint of Azure AI Language with Azure AD token-based authentication.

Answer

Deploy a serverless endpoint with Azure Functions and Azure Cognitive Search.

Answer

Use the prebuilt question-answering model from Azure AI Language with a custom answer list.

Question 9

A developer is configuring an Azure AI Language resource for sentiment analysis. The solution must process social media posts in real-time with a throughput of 1000 requests per minute. After testing, the developer notices that the API returns a 429 (Too Many Requests) error when the load exceeds 500 requests per minute. What is the most likely cause and solution?

Accepted Answer

Upgrade the Azure AI Language resource to a higher tier (e.g., Standard S) to increase the rate limit.. The 429 error indicates the request rate exceeds the resource's allocated tier limit. Azure AI Language resources have predefined rate limits per pricing tier; the Standard S tier offers higher throughput (e.g., 1,000 requests per minute) compared to lower tiers. Upgrading to Standard S directly increases the rate limit to match the required 1,000 requests per minute, making it the correct solution.

Answer

Scale out the resource by creating multiple Azure AI Language instances and load balancing requests.

Answer

Implement retry logic with exponential backoff to handle 429 errors.

Answer

Use Azure API Management to cache responses and reduce calls.

Question 10

A developer is tasked with integrating Azure OpenAI Service into an application that generates product descriptions. The developer needs to ensure that the generated content does not contain offensive language. Which Azure AI service should be used in addition to Azure OpenAI?

Accepted Answer

Azure AI Content Safety. Azure AI Content Safety (D) is the correct service because it provides built-in content moderation capabilities that can detect and filter offensive, inappropriate, or harmful language in text and images. By integrating Azure AI Content Safety with Azure OpenAI, the developer can automatically screen generated product descriptions for profanity, hate speech, or other offensive content before they are displayed to users, ensuring compliance with content policies.

Answer

Azure AI Search

Answer

Azure AI Vision

Answer

Azure AI Language