Microsoft Certified: Azure AI Engineer Associate Practice Exam 2025: Latest Questions

You are designing an Azure AI solution that uses Azure AI services from an Azure App Service. Security requires that no secrets (keys) are stored in application configuration, and access must be centrally managed. What should you implement?

A team needs to extract text from scanned receipts (images) and store the results as structured fields like merchant name, date, and total. They want the highest accuracy with minimal custom code. Which Azure service should they use?

You are building a chatbot that must detect a user’s intent (for example, "Reset password" vs "Update billing") from short messages and route the conversation accordingly. Which Azure capability is the best fit?

A developer needs to generate a short textual description of an image and also identify common objects in it. Which feature should they use?

You need to create a knowledge mining solution to search across PDFs stored in Azure Blob Storage. The PDFs include scanned pages (images) and digital text. You must make the content searchable in Azure AI Search. What should you include in the indexing pipeline?

A customer support team wants to analyze thousands of chat transcripts daily to identify the main issues customers discuss and automatically group similar conversations. Which approach best meets this requirement using Azure AI Language?

You are implementing a Retrieval-Augmented Generation (RAG) solution with Azure OpenAI. The business requirement is to ensure the model answers using only the company’s internal policy documents and includes citations to the sources. What design is most appropriate?

Your app uses Azure AI Document Intelligence to process uploaded documents. After a deployment, calls start failing with authorization errors. You confirm the endpoint URL is correct. The app was updated to use Azure RBAC with managed identity. What is the most likely missing configuration?

You are building a regulated-industry application using Azure OpenAI. The security team requires that prompts and completions are not logged by your application and that harmful content is filtered according to policy. Which implementation best satisfies these requirements?

You must build an enterprise search experience over internal documents where users should only see results they are permitted to access. Documents have ACLs in an external system. The solution uses Azure AI Search. What is the recommended approach to enforce document-level security in search results?

You built a chatbot using Azure AI Language with a custom question answering project. After publishing, users report that correct answers exist in the knowledge base but the bot often replies with a low-confidence fallback message. You want to improve answer selection without changing the client application. What should you do?

You need to detect printed and handwritten text in images captured from mobile devices and return the extracted text to an app. Which Azure service feature is the most appropriate?

Your organization requires that applications use managed identities to access Azure AI services without storing secrets in code. Which authentication approach should you implement?

You are building an app that summarizes internal policy documents using Azure OpenAI. The summaries must cite specific sections of the source documents. Which solution best meets this requirement?

You deployed an Azure AI Search indexer to ingest PDFs from Azure Blob Storage. The index contains only file names and metadata; the PDF content is not searchable. What is the most likely missing configuration?

You have thousands of support emails. You must automatically detect the primary issue type (billing, login, outage, feature request) and route messages to the right team. You also need the ability to add new categories over time with minimal code changes. Which Azure AI Language capability should you use?

You built a custom Named Entity Recognition (NER) model in Azure AI Language to extract product codes from text. In production, the model misses codes when users include hyphens or varying capitalization. Which action is most likely to improve model performance?

A web app uses Azure AI Vision to analyze user-uploaded images. Some uploads cause intermittent failures with timeouts. The images can be very large. What is the recommended mitigation?

You are designing a RAG solution with Azure AI Search and Azure OpenAI. Your documents include long technical manuals. You notice irrelevant passages being retrieved because entire manuals are indexed as single documents. What should you do to improve retrieval quality?

Your company wants to extract structured fields (invoice number, vendor name, total, line items) from many invoice formats. You must support new layouts without requiring code updates for every vendor. Which approach best meets the requirement?

You built a Retrieval Augmented Generation (RAG) app that uses Azure OpenAI for chat completions and Azure AI Search as the retriever. Users report that the assistant sometimes responds confidently with incorrect statements not found in the indexed content. You want to reduce these unsupported answers without significantly changing the UI. What is the best approach?

Your team is deploying an Azure AI services resource for multiple applications in different departments. The security team requires that no application can use the key or endpoint unless it is explicitly granted access, and they want to avoid distributing keys. Which approach best meets this requirement?

You are using Azure AI Document Intelligence to extract fields from a collection of vendor invoices. Many vendors use different layouts, and you need to extract common fields (InvoiceNumber, InvoiceDate, Total) with minimal training effort. What should you use?

You are building a multilingual support bot. Messages may contain personal data. You must detect the user's language, translate to English for internal processing, and translate the response back to the user's language. Which Azure service best fits these requirements?

A solution processes PDFs in Azure Blob Storage. An Azure AI Search indexer is configured with the built-in OCR skill and indexing runs successfully, but searches for content inside scanned PDFs return no results. Text-based PDFs are searchable. What is the most likely cause?