Microsoft AI-900 Exam Preparation Guide and PDF Download
Verified & Correct AI-900 Practice Test Reliable Source Jun 23, 2026 Updated
Microsoft AI-900 exam is an entry-level certification exam offered by Microsoft to validate knowledge and understanding of the fundamental concepts of Artificial Intelligence (AI) and its implementation on the Azure platform. AI-900 exam is ideal for individuals who are new to the field of AI and want to showcase their expertise in this area.
NEW QUESTION # 55
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://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-add-qna
NEW QUESTION # 56
Which two scenarios are examples of a natural language processing workload? Each correct answer presents a complete solution.
NOTE; Each correct selection is worth one point.
- A. a website that uses a knowledge base to interactively respond to users' questions
- B. a smart device in the home that responds to questions such as, "What will the weather be like today?
- C. assembly line machinery that autonomously inserts headlamps into cars
- D. monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific threshold
Answer: A,B
Explanation:
The correct answers are B. a smart device in the home that responds to questions such as, "What will the weather be like today?" and D. a website that uses a knowledge base to interactively respond to users' questions.
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Identify features of Natural Language Processing (NLP) workloads on Azure", Natural Language Processing (NLP) is a branch of artificial intelligence that enables computers to understand, interpret, and generate human language in a meaningful way. NLP bridges the gap between human communication and machine understanding, allowing systems to process both spoken and written language.
* Option B - A smart device in the home that responds to questions such as "What will the weather be like today?"This is an example of an NLP workload because the device must process spoken language (speech-to-text), interpret the user's intent (language understanding), and generate a relevant spoken response (text-to-speech). This workflow involves several Azure Cognitive Services, such as Speech Service for recognizing and synthesizing speech, and Language Understanding (LUIS) for interpreting intent. This aligns with conversational AI and NLP tasks in the AI-900 syllabus.
* Option D - A website that uses a knowledge base to interactively respond to users' questions.This is also an NLP workload because the system interprets text input from users and retrieves appropriate answers from a knowledge base. Microsoft's QnA Maker (now part of the Azure AI Language service) and Azure Bot Service enable such behavior. The model uses NLP to understand the user's question, find the most relevant response, and generate an appropriate reply - key characteristics of natural language processing.
Incorrect options:
* A (assembly line machinery) represents automation or robotics, not NLP.
* C (monitoring temperature to activate a fan) is an example of an IoT (Internet of Things) or rule-based system, not related to language processing.
NEW QUESTION # 57
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 # 58
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 59
Match the principles of responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation:
The correct answers are derived from the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Identify guiding principles for responsible AI." Microsoft defines six core principles of Responsible AI:
* Fairness
* Reliability and safety
* Privacy and security
* Inclusiveness
* Transparency
* Accountability
Each principle addresses a key ethical and operational requirement for developing and deploying trustworthy AI systems.
* Reliability and safety - "AI systems must consistently operate as intended, even under unexpected conditions."This principle ensures that AI models are dependable, robust, and perform accurately under diverse circumstances. Microsoft emphasizes that systems should be thoroughly tested and monitored to guarantee predictable behavior, prevent harm, and maintain safety. A reliable AI solution should continue to function properly when faced with unusual or noisy inputs, and fail safely when issues arise.
This principle focuses on stability, testing, and dependable performance.
* Privacy and security - "AI systems must protect and secure personal and business information."This principle ensures that AI systems comply with data privacy laws and ethical standards. It protects users' sensitive data against unauthorized access and misuse. Microsoft highlights that organizations must implement strong encryption, data anonymization, and access control mechanisms to maintain confidentiality. Protecting user data is essential to building trust and compliance with global standards like GDPR.
Other principles such as fairness and inclusiveness apply to ensuring equitable and accessible AI, but they do not directly relate to system operation or information protection.
# Final Answers:
* "Operate as intended" # Reliability and safety
* "Protect and secure information" # Privacy and security
NEW QUESTION # 60
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://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview
NEW QUESTION # 61
You are developing a solution that uses the Text Analytics service.
You need to identify the main talking points in a collection of documents.
Which type of natural language processing should you use?
- A. entity recognition
- B. key phrase extraction
- C. language detection
- D. sentiment analysis
Answer: B
Explanation:
Section: Describe features of Natural Language Processing (NLP) workloads on Azure Explanation:
Broad entity extraction: Identify important concepts in text, including key Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language- processing
NEW QUESTION # 62
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Explanation
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer
NEW QUESTION # 63
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
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/get-started-build-detector
NEW QUESTION # 64
You need to make the press releases of your company available in a range of languages.
Which service should you use?
- A. Language Understanding (LUIS)
- B. Translator Text
- C. Text Analytics
- D. Speech
Answer: B
Explanation:
Translator is a cloud-based machine translation service you can use to translate text in near real-time through a simple REST API call. The service uses modern neural machine translation technology and offers statistical machine translation technology. Custom Translator is an extension of Translator, which allows you to build neural translation systems.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/
NEW QUESTION # 65
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
NEW QUESTION # 66
You are building a Language Understanding model for an e-commerce business.
You need to ensure that the model detects when utterances are outside the intended scope of the model.
What should you do?
- A. Test the model by using new utterances
- B. Create a prebuilt task entity
- C. Create a new model
- D. Add utterances to the None intent
Answer: D
Explanation:
Explanation
The None intent is filled with utterances that are outside of your domain.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/LUIS/luis-concept-intent
NEW QUESTION # 67
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://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0 All 3 are correct as they are the different channels to connect with a bot Office 365 email - Enable a bot to communicate with users via Office 365 email.
Microsoft Teams - Configure a bot to communicate with users through Microsoft Teams.
Web Chat - Automatically configured for you when you create a bot with the Bot Framework Service.
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0
NEW QUESTION # 68
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/linear-regression
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-initialize-model-clustering Regression is a form of machine learning that is used to predict a numeric label based on an item's features.
https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/introduction
NEW QUESTION # 69
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 # 70
......
How much AZ-900:Microsoft Azure AI Fundamentals Exam Cost
The exam cost of Microsoft Azure AI Fundamentals is 99 USD.
Pass Microsoft AI-900 exam Dumps 100 Pass Guarantee With Latest Demo: https://prepaway.vcetorrent.com/AI-900-valid-vce-torrent.html