Ace Microsoft AI-900 Certification with Actual Questions May 11, 2026 Updated
2026 The Most Effective AI-900 with 325 Questions Answers
Exam Details
The Microsoft AI-900 exam is the only qualifying test that leads to the Microsoft Certified: Azure AI Fundamentals certification. It measures one’s knowledge of AI considerations & workloads, features of NLP workloads on Azure, and basic principles of ML on Azure. The candidates can choose to take this exam in English, French, Simplified Chinese, Japanese, German, Spanish, or Korean. It contains 40-60 questions covering different types, including case studies, drag and drop, active screen, build list, and multiple choice. You can schedule your test with Certiport or Pearson VUE. However, it is required to pay the fee of $99 before scheduling it.
NEW QUESTION # 105
Match the types of computer vision to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/face/
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection
NEW QUESTION # 106
What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. reliability and safety
- B. opinionatedness
- C. fairness
- D. inclusiveness
- E. decisiveness
- F. knowledgeability
Answer: A,C,D
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and the Microsoft Learn module "Describe features of common AI workloads and considerations", Microsoft has defined six guiding principles for responsible AI. These principles are intended to ensure that AI systems are developed and deployed in ways that are ethical, transparent, and beneficial to all. The six principles are: Fairness, Reliability and Safety, Privacy and Security, Inclusiveness, Transparency, and Accountability.
Let's break down the three correct options:
* Fairness - Microsoft emphasizes that AI systems should treat all individuals fairly and avoid discrimination against people based on gender, race, age, or other characteristics. Fairness ensures that outcomes and decisions from AI systems are equitable across diverse user groups. In the AI-900 learning materials, fairness is explained as a foundational value that ensures algorithms and models do not introduce or amplify societal bias.
* Reliability and Safety - This principle ensures that AI systems function as intended under all expected conditions and that they can handle unexpected inputs safely. Microsoft states that AI should be tested rigorously and validated for reliability before deployment. AI systems must perform consistently and avoid causing harm due to errors or failures.
* Inclusiveness - Inclusiveness focuses on empowering everyone and engaging people of all backgrounds. Microsoft's responsible AI guidance stresses designing AI systems that understand and respect cultural, linguistic, and ability differences to make technology accessible and beneficial to all users.
Options A (knowledgeability), B (decisiveness), and E (opinionatedness) are not part of Microsoft's Responsible AI principles. These terms do not appear in any Microsoft Learn AI-900 curriculum or official responsible AI documentation.
Thus, based on the verified AI-900 study content and Microsoft's Responsible AI framework, the correct answer is C. Inclusiveness, D. Fairness, and F. Reliability and Safety.
NEW QUESTION # 107
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://www.cloudfactory.com/data-labeling-guide
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance
NEW QUESTION # 108
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks
NEW QUESTION # 109
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 110
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Graphical user interface, text, application, email Description automatically generated
NEW QUESTION # 111
You have the following apps:
* App1: Understands the public perception of a brand or topic
* App2: Applies profanity filters to speech-to-text
What does each app use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 112
Match the types of natural languages processing workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics
NEW QUESTION # 113
You have the following apps:
* App1: Uses a set of images of tumors to identify whether the tumors are benign or malignant and suggest a treatment
* App2: Uses images from cameras to track individual livestock as they move around a farm
* App3: Identifies brands in photographs of billboards
What does each app use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Let's analyze each application in the context of Microsoft Azure AI Fundamentals (AI-900) and computer vision model types.
* App1 - Uses a set of images of tumors to identify whether the tumors are benign or malignant and suggest a treatment # Image classificationThis application is performing image classification, where each image (of a tumor) is assigned to a single predefined category - benign or malignant. Image classification models learn patterns from labeled training images and predict the correct class for new ones. In this case, the model identifies the type of tumor, a classic binary classification scenario.
* App2 - Uses images from cameras to track individual livestock as they move around a farm # Object detectionThis scenario describes object detection, which not only identifies what objects (in this case, animals) are in an image but also locates them by drawing bounding boxes. Tracking movement requires detecting the position of each animal frame by frame. Object detection models are well-suited for use cases involving counting, tracking, or monitoring objects in a visual scene.
* App3 - Identifies brands in photographs of billboards # Optical character recognition (OCR)This app involves reading and interpreting text (brand names, slogans, or logos) from images of billboards.
Optical Character Recognition (OCR), part of Azure AI Vision, extracts textual information from images or scanned documents. Once extracted, that text can be analyzed to identify brand names or keywords.
Summary:
* App1 # Image classification
* App2 # Object detection
* App3 # Optical character recognition (OCR)
NEW QUESTION # 114
You have a frequently asked questions (FAQ) PDF file.
You need to create a conversational support system based on the FAQ.
Which service should you use?
- A. Language Understanding (LUIS)
- B. QnA Maker
- C. Computer Vision
- D. Text Analytics
Answer: B
Explanation:
QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi-structured content, including FAQs, manuals, and documents.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/qna-maker/
NEW QUESTION # 115
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
NEW QUESTION # 116
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
Answer:
Explanation:
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.
NEW QUESTION # 117
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Explanation:
NEW QUESTION # 118
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 119
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 120
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The Microsoft AI-900 exam, usually known as the Microsoft Azure AI Fundamentals, is well suited to baseline-level IT specialists with knowledge of artificial intelligence (AI) & Machine Learning (ML), and the relevant Microsoft Azure concepts. This is the only test that you should pass to qualify for the Microsoft Certified: Azure AI Fundamentals certification.
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