AI-102 Practice Exam 54 — 20 Questions

Question 1

Refer to the exhibit. You have an Azure AI Search skillset with the custom skill shown. When you run the indexer, you notice that many documents fail with a timeout error. What is the most likely cause of the timeouts?

Accepted Answer

The degreeOfParallelism is set too high, overwhelming the Azure Function.. The custom skill in Azure AI Search is configured with a `degreeOfParallelism` of 10, meaning up to 10 concurrent requests are sent to the Azure Function. If the function cannot handle this level of concurrency (e.g., due to limited resources or cold starts), requests will queue up and eventually time out. Reducing the `degreeOfParallelism` would throttle the load and prevent the function from being overwhelmed.

Answer

The HTTP method should be GET instead of POST.

Answer

The timeout value is too short for the function to complete.

Answer

The batch size is too large, causing each request to process too many documents.

Question 2

Refer to the exhibit. A developer received this response from an Azure OpenAI chat completion call. The prompt was "What is the capital of France?". The finish_reason is "stop". What does this indicate?

Accepted Answer

The model completed the response naturally.. The finish_reason 'stop' indicates that the model completed the response naturally, meaning it generated a complete answer to the prompt and reached a logical stopping point (e.g., the end of a sentence or the end of the generated text). This is the standard behavior for a successful completion where the model did not encounter any content filter, token limit, or other interruption.

Answer

The response was truncated due to content filtering.

Answer

The model stopped generating before the response was complete.

Answer

The response reached the max_tokens limit.

Question 3

Refer to the exhibit. You are reviewing a content safety policy for an Azure AI Foundry deployment. The policy rate limits to 20 requests per minute. A user submits 50 requests in one minute. How many requests are allowed?

Accepted Answer

20. The content safety policy enforces a rate limit of 20 requests per minute. When a user submits 50 requests in one minute, the rate limiter allows only the first 20 requests and blocks the remaining 30. This is a standard token-bucket or sliding-window rate-limiting behavior in Azure AI Foundry, where exceeding the limit results in HTTP 429 (Too Many Requests) for excess requests.

Answer

50

Answer

100

Answer

None, all are blocked.

Question 4

You are deploying a chat application using Azure OpenAI. The application should only answer questions based on a specific set of internal documents. Which THREE features should you use?

Accepted Answer

Azure AI Search index with the internal documents. Option A is correct because Azure AI Search indexes allow you to ingest internal documents and perform vector or hybrid search over them. When integrated with Azure OpenAI, the search results are used as grounding context for the model, ensuring responses are based solely on your data.

Answer

Content filters to block out-of-domain questions

Answer

Fine-tuning the model on the internal documents

Question 5

You are using Azure OpenAI Service with the system message shown in the exhibit. The model sometimes answers questions using general knowledge even when the context does not contain the answer. Which modification should you make to enforce the behavior?

Accepted Answer

Set the 'strict' parameter to true in Azure OpenAI On Your Data configuration. Option D is correct because the 'strict' parameter in Azure OpenAI On Your Data configuration forces the model to rely exclusively on the provided data sources and refuse to answer when the context lacks the information. This directly enforces the desired behavior of not falling back on general knowledge.

Answer

Add a user message repeating the instruction

Answer

Reduce the temperature to 0

Answer

Fine-tune the model with examples of refusing to answer

Question 6

You are building a generative AI application using Azure OpenAI Service. The application must provide citations for answers retrieved from a set of documents. You need to ensure that each answer includes a reference to the source document. Which configuration should you use?

Accepted Answer

Use Azure OpenAI On Your Data with the 'include citations' option. Option A is correct because Azure OpenAI On Your Data provides a built-in 'include citations' feature that automatically retrieves and appends source document references to the generated answer. This configuration leverages the underlying search index to map each response segment back to the original document, ensuring compliance with citation requirements without custom development.

Answer

Add a system message requesting citations

Answer

Implement a custom prompt flow with citation logic

Answer

Fine-tune the model to include citations

Question 7

A company wants to generate personalized product descriptions for its e-commerce site using Azure OpenAI. They need to ensure the model's output adheres to brand guidelines and does not generate prohibited content. Which approach should they use?

Accepted Answer

Use a system message with brand guidelines and apply content filtering.. Option A is correct because using a system message allows you to embed brand guidelines directly into the conversation context, instructing the model on tone, style, and prohibited content. Azure OpenAI's content filtering provides an additional safety layer by automatically detecting and blocking harmful or policy-violating outputs, ensuring compliance with both brand and regulatory requirements.

Answer

Use prompt engineering with negative prompts and ignore content filtering.

Answer

Provide few-shot examples in the user message and rely on the model's training.

Answer

Fine-tune the model with brand guidelines and disable content filtering for performance.

Question 8

A company uses Azure OpenAI to generate code snippets. They notice that the model sometimes produces code that uses deprecated APIs. They want to minimize this without retraining the model. What should they do?

Accepted Answer

Add a system message instructing the model to use only current, non-deprecated APIs.. Option C is correct because adding a system message in Azure OpenAI allows you to set high-level instructions that guide the model's behavior without retraining. By explicitly instructing the model to use only current, non-deprecated APIs, you leverage the system prompt's ability to influence output style and content, effectively reducing deprecated API usage in generated code snippets.

Answer

Fine-tune the model on a dataset of recent code.

Answer

Set the temperature parameter to 0 to reduce randomness.

Answer

Provide a few-shot example of correct code in the prompt.

Question 9

A company is deploying a custom vision model using Azure Custom Vision. The training data contains images with varying resolutions. The model must achieve high accuracy. Which pre-processing step should be applied to the images before training?

Accepted Answer

Resize all images to the same dimensions (e.g., 224x224).. Custom Vision models use a fixed input size (e.g., 224x224 for ResNet-based architectures). Images with varying resolutions must be resized to the same dimensions before training to ensure consistent tensor shapes for the neural network. Without this step, the model cannot process the data correctly, leading to training failures or degraded accuracy.

Answer

Convert images to grayscale.

Answer

Normalize pixel values to a range of 0-1.

Answer

Apply data augmentation techniques like random cropping.

Question 10

Which THREE factors should be considered when choosing a region for deploying Azure AI services?

Accepted Answer

Service availability and feature support.. Service availability and feature support (Option B) is a critical factor because not all Azure AI services are available in every region; for example, certain Cognitive Services like Azure OpenAI or Computer Vision OCR may be in preview or fully supported only in specific regions. Choosing a region without the required service or feature would prevent deployment or limit functionality, directly impacting solution design.

Answer

Number of Azure data centers in the region.

Answer

Cost of the services in each region.

Question 11

A company wants to generate product descriptions for thousands of items using an Azure OpenAI GPT-4 model. They need to ensure the descriptions match a consistent brand voice. Which approach is most efficient and cost-effective?

Accepted Answer

Set a system message with brand voice guidelines and use few-shot examples. Option C is correct because setting a system message with brand voice guidelines and providing few-shot examples allows the GPT-4 model to consistently apply the desired tone and style across all product descriptions without retraining. This approach is efficient and cost-effective as it avoids the high compute and data preparation costs of fine-tuning, while still enabling precise control over output through in-context learning.

Answer

Write a separate prompt for each product category

Answer

Use Azure OpenAI on your data with a vector database of brand guidelines

Answer

Fine-tune a base model on existing product descriptions

Question 12

Your Azure AI Search indexer is failing to index documents from an Azure Blob Storage container. The error message shows 'AccessDenied'. What is the most likely cause?

Accepted Answer

The search service's managed identity lacks 'Storage Blob Data Reader' role.. The 'AccessDenied' error indicates that the Azure AI Search service lacks the necessary permissions to read data from the Azure Blob Storage container. The most likely fix is to assign the 'Storage Blob Data Reader' role to the search service's system-assigned managed identity, which grants read access to blob containers and their contents.

Answer

The blob container name is misspelled in the datasource.

Answer

The indexer execution interval is set too high.

Answer

The index schema does not match the blob metadata.

Question 13

Refer to the exhibit. You run the Azure CLI command shown. What is the output?

Accepted Answer

A single key string. The `az cognitiveservices account keys list` command retrieves the access keys for an Azure Cognitive Services account. By default, it returns both key1 and key2, but the `--query` parameter with `keys[0]` filters the output to return only the first key (key1) as a single string. This is a standard Azure CLI query syntax using JMESPath to extract a specific element from the JSON response.

Answer

Both key1 and key2

Answer

The endpoint URL

Answer

The region of the account

Question 14

Refer to the exhibit. You are using Azure OpenAI to build a trivia bot. The bot responds correctly to simple questions but sometimes gives overly verbose or off-topic answers. Which parameter should you adjust to make responses more focused?

Accepted Answer

Decrease temperature. Decreasing the temperature parameter reduces the randomness of the model's output, making it more deterministic and focused. For a trivia bot that gives overly verbose or off-topic answers, lowering temperature (e.g., from 0.7 to 0.3) forces the model to choose higher-probability tokens, which typically correspond to more concise and relevant responses.

Answer

Increase temperature

Answer

Decrease top_p

Answer

Increase max_tokens

Answer

Decrease max_tokens

Question 15

You have configured a system message for an Azure OpenAI chat completion deployment as shown in the exhibit. Users are reporting that the assistant sometimes refuses to answer questions that are clearly within the scope of the provided data. What is the most likely issue?

Accepted Answer

The system message encourages the model to err on the side of caution, leading to false-negative refusals.. Option A is correct because the system message likely contains overly cautious language (e.g., 'only answer if you are certain' or 'do not speculate'), which causes the model to refuse answering even when the data clearly supports the response. This is a known behavior in Azure OpenAI chat completions where the system message's tone and constraints directly influence refusal rates, leading to false-negative refusals.

Answer

The system message explicitly prohibits making up information, which is correct behavior.

Answer

The system message does not include instructions to use the provided data.

Answer

The temperature parameter is set too high, causing the model to hallucinate.

Question 16

You are building a generative AI application that must process large volumes of PDF documents and generate summaries using Azure OpenAI. The solution must be cost-effective and handle variable workloads. Which architecture should you recommend?

Accepted Answer

Use Azure Functions with a consumption plan to trigger processing jobs and call Azure OpenAI.. Option B is correct because Azure Functions with a consumption plan provides a serverless, event-driven architecture that scales automatically to handle variable workloads, ensuring cost-effectiveness by charging only for compute time used. This architecture is ideal for processing large volumes of PDFs, as each document can trigger a function execution that calls Azure OpenAI for summarization, without the need for always-on infrastructure.

Answer

Use Azure Kubernetes Service (AKS) with a persistent node pool of GPU nodes.

Answer

Deploy a GPU-enabled virtual machine and run the summarization jobs sequentially.

Answer

Use Azure Logic Apps to iterate through documents and call Azure OpenAI.

Question 17

A developer uses the Azure OpenAI API to generate code. They want to ensure that the generated code is in Python. Which parameter should they set?

Accepted Answer

system message. The system message is used to set the behavior and context of the AI model, including specifying the desired output format or language. By setting the system message to 'You are a helpful assistant that always writes code in Python', the developer can instruct the model to generate Python code consistently. This parameter is part of the chat completions API and directly influences the model's persona and constraints.

Answer

temperature

Answer

top_p

Answer

max_tokens

Question 18

You are a data scientist at a healthcare company. You have deployed a GPT-4 model using Azure OpenAI to answer patient inquiries about medical conditions. The model is configured with temperature=0.3 and max_tokens=200. Recently, the compliance team flagged that some responses contain contradictory information compared to the official medical guidelines. You need to ensure the model's answers align strictly with the provided medical documents (stored as PDFs in Azure Blob Storage). You have access to Azure Cognitive Search and Azure AI Document Intelligence. The solution must minimize hallucinations and not require retraining the model. What should you do?

Accepted Answer

Index the medical PDFs into Azure Cognitive Search. Configure the Azure OpenAI deployment to use 'Add your data' pointing to this index. Set the system message to instruct the model to base answers only on the retrieved context.. Option B is correct because it uses Azure Cognitive Search to index the medical PDFs and then configures the Azure OpenAI deployment with 'Add your data' to retrieve relevant context from that index at inference time. This retrieval-augmented generation (RAG) approach grounds the model's answers in the official documents without retraining, directly addressing the compliance team's requirement to align responses with the provided guidelines and minimize hallucinations.

Answer

Use prompt engineering to add a system message that tells the model to only answer based on the uploaded PDFs. Keep the current deployment.

Answer

Fine-tune GPT-4 on the medical documents using Azure OpenAI fine-tuning capabilities. Use the fine-tuned model for the chatbot.

Answer

Deploy Azure AI Content Safety to filter responses that contradict guidelines. Set up a custom content filter using a list of approved phrases.

Question 19

You are using Azure OpenAI to generate product descriptions. You notice that the descriptions are often too similar to each other. Which parameter should you adjust to increase diversity?

Accepted Answer

Increase the temperature value.. Increasing the temperature parameter makes the model more creative by raising the probability of sampling lower-probability tokens, which increases diversity in the generated text. A higher temperature (e.g., 0.9) flattens the probability distribution, so the model is less likely to always pick the most probable next word, resulting in more varied outputs.

Answer

Decrease the top_p value.

Answer

Increase the max_tokens value.

Answer

Increase the frequency_penalty value.

Question 20

You are using Azure OpenAI Service to generate marketing copy. You have a requirement to reduce the cost of inference without significantly impacting output quality. Which parameter should you adjust?

Accepted Answer

Decrease the max_tokens.. Decreasing max_tokens directly reduces the number of tokens generated per API call, which lowers the compute cost because Azure OpenAI charges per token (both input and output). Since the requirement is to reduce inference cost without significantly impacting output quality, reducing max_tokens is the most direct and effective parameter. It caps the response length, preventing unnecessarily verbose output while preserving the model's ability to generate high-quality, concise copy.

Answer

Increase the frequency_penalty.

Answer

Decrease the temperature.

Answer

Increase the top_p.

AI-102 Practice Exam 54 — 20 Questions

Exhibit

AI-102 Practice Exam 54 — 20 Questions

Exhibit