Microsoft AI-900 Online Practice Questions and Exam Preparation

Microsoft AI-900 Online Questions & Answers

• Question 301:

  HOTSPOT

  Select the answer that correctly completes the sentence.

  

  

• Question 302:

  Which Azure Al Language feature can be used to retrieve data, such as dates and people's names, from social media posts?

  A. language detection
  B. speech recognition
  C. key phrase extraction
  D. entity recognition
  D. entity recognition

• Question 303:

  What should you do to ensure that an Azure OpenAI model generates accurate responses that include recent events?

  A. Modify the system message.
  B. Add grounding data.
  C. Add few-shot learning.
  D. Add training data.
  B. Add grounding data.

• Question 304:

  You are authoring a Language Understanding (LUIS) application to support a music festival.

  You want users to be able to ask questions about scheduled shows, such as: "Which act is playing on the main stage?" The question "Which act is playing on the main stage?"

  is an example of which type of element?

  A. an intent
  B. an utterance
  C. a domain
  D. an entity
  B. an utterance

  ---

  Explanation

  Utterances are input from the user that your app needs to interpret.

  References:

  https://docs.microsoft.com/en-us/azure/cognitive-services/LUIS/luis-concept-utterance

• Question 305:

  A company processes scanned receipts submitted by customers and needs to extract the invoice number automatically.

  Which Azure AI service should be used?

  A. Azure AI Document Intelligence
  B. Azure AI Vision
  C. Azure AI Computer Vision
  D. Azure AI Language
  A. Azure AI Document Intelligence

  ---

  Explanation

  Azure AI Document Intelligence extracts structured information such as invoice numbers, totals, and dates from documents like receipts and invoices. Vision services analyze images but do not provide structured document field extraction capabilities.

• Question 306:

  You have an Azure subscription that uses Azure OpenAI.

  You need to create an original image of a rural scene to use on a website.

  What should you do?

  A. From Azure Al Foundry, deploy a GPT-3.5 Turbo model and provide instructions to create the image of the rural scene.
  B. From Microsoft Bing, search the term "rural scene" and download the results.
  C. From GitHub Copilot, provide instructions to create the image of the rural scene.
  D. From Azure Al Foundry, deploy a DALL-E model, and provide instructions to create the rural scene.
  D. From Azure Al Foundry, deploy a DALL-E model, and provide instructions to create the rural scene.

• Question 307:

  HOTSPOT

  Select the answer that correctly completes the sentence.

  

  

  ---

  The correct completion of the sentence is: "The interactive answering of questions entered by a user as part of an application is an example of natural language processing." According to the Microsoft Azure AI Fundamentals (AI-900) official study materials, Natural Language Processing (NLP) is a branch of Artificial Intelligence that focuses on enabling computers to understand, interpret, and respond to human language in a way that is both meaningful and useful. It is one of the key AI workloads described in the "Describe features of common AI workloads" module on Microsoft Learn. When a user types a question into an application and the system responds interactively - such as in a chatbot, Q&A system, or virtual assistant - this process requires language understanding. NLP allows the system to process the input text, determine user intent, extract relevant entities, and generate an appropriate response. This is the foundational capability behind services such as Azure Cognitive Service for Language, Language Understanding (LUIS), and QnA Maker (now integrated as Question Answering in the Language service). Microsoft's study guide explains that NLP workloads include the following key scenarios: Language understanding: Determining intent and context from text or speech. Text analytics: Extracting meaning, key phrases, sentiment, or named entities.

  Conversational AI: Powering bots and virtual agents to interact using natural language.These systems rely on NLP models to analyze user inputs and respond accordingly. In contrast: Anomaly detection identifies data irregularities. Computer vision analyzes images or video. Forecasting predicts future values based on historical data. Therefore, based on the AI-900 official materials, the interactive answering of user questions through an application clearly falls under Natural Language Processing (NLP).

• Question 308:

  You are building a knowledge base by using QnA Maker.

  Which file format can you use to populate the knowledge base?

  A. PPTX
  B. XML
  C. ZIP
  D. PDF
  D. PDF

  ---

  Explanation

  D: Content types of documents you can add to a knowledge base: Content types include many standard structured documents such as PDF, DOC, and TXT.

  Note: The tool supports the following file formats for ingestion: .tsv: QnA contained in the format Question(tab)Answer.

  .txt, .docx, .pdf: QnA contained as regular FAQ content--that is, a sequence of questions and answers.

  Incorrect Answers:

  A: PPTX is the default presentation file format for new PowerPoint presentations.

  B: It is not possible to ingest xml file directly.

  References:

  https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/data-sources-and-content

• Question 309:

  You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is.

  This is an example of which type of natural language processing workload?

  A. language detection
  B. sentiment analysis
  C. key phrase extraction
  D. entity recognition
  B. sentiment analysis

  ---

  Explanation

  Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.

  References:

  https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

• Question 310:

  You have a knowledge base of frequently asked questions (FAQ).

  You create a bot that uses the knowledge base to respond to customer requests.

  You need to identify what the bot can perform without adding additional skills.

  What should you identify?

  A. Register customer purchases.
  B. Register customer complaints.
  C. Answer questions from multiple users simultaneously.
  D. Provide customers with return materials authorization (RMA) numbers.
  C. Answer questions from multiple users simultaneously.

  ---

  Explanation

  Incorrect:

  Skill actions include

  * Use skills for complex, multi-turn operations. For example, schedule a meeting or book a flight. (Not A, Not B)

  * Use skills to emit any supported bot response. For example, show an adaptive card or send random responses. (not C)

  References:

  https://learn.microsoft.com/en-us/power-virtual-agents/configuration-add-skills