Microsoft AI-900 Actual Free Exam Questions & Community Discussion
You are building a knowledge base by using QnA Maker. Which file format can you use to populate the knowledge base?
Correct Answer: B
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You need to predict the population size of a specific species of animal in an area.
Which Azure Machine Learning type should you use?
Which Azure Machine Learning type should you use?
Correct Answer: A
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You need to create a clustering model and evaluate the model by using Azure Machine Learning designer.
What should you do?
What should you do?
Correct Answer: A
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What is a form of unsupervised machine learning?
Correct Answer: B
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You have an Al solution that provides users with the ability to control smart devices by using verbal commands.
Which two types of natural language processing (NLP) workloads does the solution use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Which two types of natural language processing (NLP) workloads does the solution use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Correct Answer: C,E
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Match the Azure Al service to the appropriate actions.
To answer, drag the appropriate service from the column on the left to its action on the right Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
To answer, drag the appropriate service from the column on the left to its action on the right Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Correct Answer:
Explanation:
The correct mapping is based on how each Azure Cognitive Service functions within the Microsoft AI ecosystem, as detailed in the Microsoft Azure AI Fundamentals (AI-900) study guide and Microsoft Learn Cognitive Services documentation.
* Convert spoken requests into text # Azure AI SpeechThe Azure AI Speech service provides speech-to- text (STT) capabilities, which enable an application to recognize spoken language and convert it into written text. This functionality is foundational in voice-enabled applications like digital assistants or transcription services. When a user speaks, this service captures the audio signal and produces an accurate textual representation that can then be processed by other AI services.
* Identify the intent of a user's requests # Azure AI LanguageThe Azure AI Language service (which includes Conversational Language Understanding, formerly LUIS) is designed to extract meaning from text. It identifies intents-the goals or actions a user wants to perform-and entities, which are key details within that request. For example, in the command "Book a flight to Paris," the intent is "book a flight," and the entity is "Paris."
* Apply intent to entities and utterances # Azure AI LanguageAgain, the Language service performs this deeper contextual analysis. It not only identifies what the user wants (intent) but also applies it to utterances (specific user expressions) and entities (data elements extracted from text). This helps conversational AI systems take meaningful actions, such as fulfilling user requests.
In summary, Azure AI Speech handles audio-to-text conversion, while Azure AI Language performs natural language understanding, mapping intents and entities-a workflow essential in intelligent conversational applications.
You need to build an app that will read recipe instructions aloud to support users who have reduced vision.
Which version service should you use?
Which version service should you use?
Correct Answer: C
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In which two scenarios can you use the Azure Al Document Intelligence service (formerly Form Recognizer)?
Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Correct Answer: B,D
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Match the services to the appropriate descriptions.
To answer, drag the appropriate service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point
To answer, drag the appropriate service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point
Correct Answer:
Explanation:
Description
Correct Service
Enables the use of natural language to query a knowledge base.
QnA Maker
Enables the real-time transcription of speech-to-text.
Speech
This question tests understanding of Azure Cognitive Services and their use cases as outlined in the Microsoft Azure AI Fundamentals (AI-900) study guide.
* "Enables the use of natural language to query a knowledge base." # QnA MakerAccording to Microsoft Learn's AI-900 module "Identify features of Natural Language Processing (NLP) workloads and services," QnA Maker is a cloud-based service that allows developers to build a question-and-answer layer over structured or unstructured content. It enables users to ask questions in natural language, and the service retrieves the most relevant answer from a knowledge base (such as FAQs, manuals, or documents).QnA Maker uses Natural Language Processing (NLP) techniques to interpret user intent and return an appropriate response. It is often integrated into chatbots built with Azure Bot Service to make them capable of conversational question-answering. In the newer Azure Cognitive Services lineup, QnA Maker capabilities are merged into Azure Cognitive Service for Language (Question Answering).
* "Enables the real-time transcription of speech-to-text." # SpeechThe Azure Speech service (part of Azure Cognitive Services) provides the ability to convert spoken language into written text in real time.
This feature, called Speech-to-Text, uses deep neural network models to recognize and transcribe human speech with high accuracy.Microsoft's AI-900 documentation specifies that Speech service capabilities also include text-to-speech, speech translation, and speaker recognition. Real-time transcription is widely used in applications such as voice assistants, captioning systems, call analytics, and accessibility tools.
Other listed services such as Azure Storage and Language Understanding (LUIS) serve different purposes:
* Azure Storage handles data storage, not AI workloads.
* LUIS identifies user intent from natural language but does not query knowledge bases directly.
You need to generate images based on user prompts. Which Azure OpenAI model should you use?
Correct Answer: C
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