AI-102 Practice Test 10 — 10 Questions

Question 1

You are troubleshooting an Azure AI Search indexer that fails to index a PDF file stored in Azure Blob Storage. The error message indicates that the document is encrypted. What is the most likely cause and solution?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

The PDF is encrypted; remove encryption before indexing. The most likely cause is that the PDF is encrypted, and the solution is to remove encryption before indexing. Azure AI Search indexers cannot decrypt password-protected or encrypted PDFs; they require unencrypted content to extract text. Therefore, the file must be decrypted prior to indexing.

Answer

The indexer is not configured with the PDF parser; set the parsing mode

Answer

The file format is unsupported; convert to PDF/A

Answer

The file is too large; split it into smaller parts

Question 2

Which THREE are valid parameters when calling the Azure OpenAI Service chat completions API?

Accepted Answer

messages. The `messages` parameter is required in the Azure OpenAI Service chat completions API call. It defines the conversation history and user input as an array of message objects, each with a `role` (system, user, assistant) and `content`. Without this parameter, the API cannot determine the context or prompt for generating a response.

Answer

index_name

Answer

embedding_model

Question 3

You are using Azure OpenAI Service to generate code snippets for a development team. You notice that the generated code sometimes contains security vulnerabilities. You need to minimize the risk of generating insecure code while maintaining productivity. What should you do?

Accepted Answer

Use system messages to instruct the model to prioritize security. System messages in Azure OpenAI Service allow you to set the context and behavior of the model, including instructing it to prioritize security when generating code. This approach directly influences the model's output without requiring retraining or sacrificing flexibility, making it the most effective way to reduce security vulnerabilities while maintaining productivity.

Answer

Fine-tune the model on a dataset of secure code

Answer

Set the temperature parameter to 0

Answer

Disable content filtering to allow more flexibility

Question 4

You run the above Azure CLI command. What is the expected output?

Accepted Answer

The primary and secondary keys. The Azure CLI command `az cognitiveservices account keys list` retrieves only the primary and secondary API keys for the Cognitive Services account. The endpoint is not included in the output; it must be obtained separately using `az cognitiveservices account show`. Therefore, the expected output contains the primary key and secondary key only.

Answer

The primary and secondary keys along with the endpoint

Answer

A list of endpoints for the service

Answer

An error because the command is incorrect

Question 5

You need to provide a generative AI solution that can answer questions based on a large set of PDF documents stored in Azure Blob Storage. The solution must support natural language queries and return citations from the documents. Which Azure service combination should you use?

Accepted Answer

Azure Cognitive Search and Azure OpenAI Service with 'on your data'. Azure Cognitive Search provides the indexing and retrieval capabilities for the PDF content, while Azure OpenAI Service with the 'on your data' feature enables natural language querying and generates answers grounded in the indexed documents, including citations. This combination directly supports the requirement to query a large set of PDFs in Azure Blob Storage and return citations.

Answer

Azure Machine Learning and Azure Kubernetes Service

Answer

Azure AI Bot Service and Azure Functions

Answer

Azure AI Document Intelligence and Azure AI Translator

Question 6

A company uses Microsoft Copilot for Microsoft 365 to automate email responses. They want to ensure that the Copilot responses comply with their data governance policies and do not expose sensitive information. What should they configure?

Accepted Answer

Microsoft Purview Data Loss Prevention (DLP) policies. Microsoft Purview Data Loss Prevention (DLP) policies are designed to detect and prevent the accidental sharing of sensitive information, such as credit card numbers or personally identifiable information (PII), across Microsoft 365 services. By configuring DLP policies, the company can scan Copilot-generated email responses for sensitive data patterns and block or warn before the email is sent, ensuring compliance with data governance policies.

Answer

Microsoft Entra ID conditional access policies

Answer

Microsoft Intune app protection policies

Answer

Microsoft Sentinel analytics rules

Question 7

You run the PowerShell script shown to audit your Azure AI Agent Service agents. The script outputs that several agents have no tools configured. What is the impact on those agents?

Accepted Answer

The agents can only respond to queries using the model's built-in knowledge, without ability to perform actions. Azure AI Agent Service agents without tools configured rely solely on the model's built-in knowledge (e.g., GPT-4o's training data) to generate responses. They cannot execute external actions like calling APIs, querying databases, or running code, which are enabled only when tools (e.g., code interpreter, function calling, or Azure Functions) are explicitly attached. This is by design: tools extend the agent's capabilities beyond the model's static knowledge.

Answer

The agents cannot be deployed until tools are added

Answer

The agents cannot start conversations with users

Answer

The agents will use default tools provided by Azure

Question 8

You are using Microsoft Purview to create a knowledge map of your organization's data assets. The solution must automatically scan and classify sensitive data in Azure Blob Storage. You need to configure the scanning and classification. Which THREE actions should you perform?

Accepted Answer

Run a full scan of the Blob Storage to discover and classify data.. Option E is correct because before Microsoft Purview can scan any asset, the Azure Blob Storage account must first be registered as a data source in the Purview governance portal, which establishes the connection and allows the account to be managed and scanned. Option D is correct because a scan rule set defines which file types and classification rules are applied during a scan; you must create or select a rule set that includes the desired system or custom classification rules so sensitive data types are detected. Option A is correct because after registering the source and configuring the rule set, you must run a scan (a full scan for initial discovery and classification) so Purview can crawl the Blob Storage, apply the rule set, and populate the knowledge map with classified assets. Option B is not required because Purview provides built-in system classification rules for common sensitive data types, and custom rules are only needed for organization-specific patterns, which the scenario does not require. Option C is not part of the scanning and classification configuration; sensitivity labels are applied through Microsoft Purview Information Protection and are a separate labeling concern from the data map scanning process.

Answer

Create custom classification rules for sensitive data types.

Answer

Apply sensitivity labels to the classified data.

Question 9

You are a data scientist at a healthcare startup. You have deployed a custom object detection model using Azure Custom Vision to detect tumors in MRI scans. The model was trained on 10,000 labeled scans from a single hospital. After deployment, the model performs well on scans from that hospital but poorly on scans from a different hospital with a different MRI machine. The new hospital's scans have slightly different contrast and resolution. The model's precision drops from 0.92 to 0.65, and recall drops from 0.88 to 0.50. You have access to 500 labeled scans from the new hospital. You need to improve the model's performance on the new hospital's data as quickly as possible with minimal effort. What should you do?

Accepted Answer

Use the existing model as a starting point and retrain it with the 500 labeled scans from the new hospital.. Azure Custom Vision supports transfer learning, allowing you to take an existing trained model and retrain it with new labeled data. By using the 500 labeled scans from the new hospital as a training set, you can fine-tune the model to adapt to the different contrast and resolution characteristics without starting from scratch. This approach is the fastest and requires minimal effort, leveraging the previously learned features while incorporating domain-specific adjustments.

Answer

Collect more labeled scans from the new hospital and train a new model from scratch.

Answer

Create a new Custom Vision project and train only on the 500 new scans.

Answer

Apply image preprocessing to normalize the new hospital's scans to match the old hospital's style, then use the existing model.

Question 10

A developer wants to integrate a pre-built AI model that can extract key information from invoices, such as vendor name, invoice date, and total amount. Which Azure AI service should they use?

Accepted Answer

Azure AI Document Intelligence. Azure AI Document Intelligence (formerly Form Recognizer) is the correct service because it is specifically designed to extract structured data from documents like invoices, including fields such as vendor name, invoice date, and total amount. It uses pre-built models trained on common document types, making it ideal for this use case without requiring custom training.

Answer

Azure AI Language

Answer

Azure OpenAI Service

Answer

Azure Cognitive Search