AB-731: Microsoft AI Apps & Services
Microsoft AI Apps & Services is one of the skill areas tested on the AI Transformation Leader (AB-731) exam. Below are free AB-731 practice questions with worked answers and a concept diagram — each with a plain-language explanation. Practice the first 10 questions of AB-731 free, no signup.
The concept, in one picture
2 free AB-731 Microsoft AI Apps & Services questions
For each of the following statements about Microsoft 365 Copilot Chat, select Yes if the statement is true. Otherwise, select No.
- A Microsoft 365 Copilot license is mandatory before anyone can use Microsoft 365 Copilot Chat.No
- Microsoft 365 Copilot Chat offers context-aware help inside Microsoft 365 apps.Yes
- Microsoft 365 Copilot Chat is limited to only the files currently open and the user's email.No
- No. A baseline Copilot Chat experience ships at no extra cost with eligible Microsoft 365 subscriptions, so a separate Copilot license is not required just to use chat.
- Yes. Copilot Chat is embedded in Microsoft 365 apps and gives context-aware assistance.
- No. With the right license and permissions, Copilot Chat reaches broader organizational data through Microsoft Graph, not only open files and emails.
A law firm keeps tens of thousands of case files and memos spread across several repositories. An architect proposes Azure AI Search as part of a new generative AI solution to make information easier to find. What is a key benefit of using Azure AI Search here?
- generates responses to customer questions without referencing the existing data
- ✓ queries and retrieves information from large collections of data by using natural language
- automates document workflows based on the document content
- improves model accuracy by fine-tuning organizational data
Azure AI Search lets users query and retrieve information from large collections of data using natural language, understanding query intent so relevant results surface even without exact keyword matches.
This is why it is so often the retrieval layer behind Retrieval-Augmented Generation (RAG).
- It does not generate answers while ignoring the existing data; retrieval over that data is the point.
- It is a search/retrieval service, not a document-workflow automation engine.
- It does not fine-tune models on organizational data.
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