Microsoft AI 900 Azure AI Fundamentals Dumps 2025

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Here are 10 multiple-choice review questions with explanations for the Microsoft AI 900 Azure AI Fundamentals Dumps:

1. What is the primary purpose of Microsoft Azure AI?

A) To provide tools for building on-premises AI solutions

B) To offer cloud-based AI services for machine learning, computer vision, and natural language processing

C) To replace traditional software development with AI automation

D) To sell hardware for AI computations✅ Correct Answer: B

Explanation: Azure AI provides cloud-based AI services such as Azure Machine Learning, Cognitive Services (vision, speech, language), and Bot Services, enabling developers to integrate AI without deep expertise.

2. Which Azure service is used for no-code machine learning model development?

A) Azure Databricks

B) Azure Machine Learning Studio (classic)

C) Azure Cognitive Services

D) Azure Synapse Analytics✅ Correct Answer: B

Explanation: Azure Machine Learning Studio (classic) offers a drag-and-drop interface for building ML models without coding, while Azure Cognitive Services provides pre-built APIs.

3. What type of AI workload is "predicting house prices based on historical data" an example of?

A) Computer Vision

B) Natural Language Processing (NLP)

C) Regression (Supervised Learning)

D) Clustering (Unsupervised Learning)✅ Correct Answer: C

Explanation: Predicting numerical values (like house prices) based on past data is a regression task, a type of supervised learning where the model learns from labeled data.

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4. Which Azure Cognitive Service would you use to detect objects in an image?

A) Text Analytics

B) Computer Vision

C) Speech-to-Text

D) Translator✅ Correct Answer: B

Explanation: The Computer Vision service can analyze images to detect objects, faces, text, and other features.

5. What is Responsible AI?

A) AI that only runs on renewable energy

B) AI designed with fairness, transparency, privacy, and accountability

C) AI that replaces human decision-making entirely

D) AI optimized for cost-efficiency✅ Correct Answer: B

Explanation: Responsible AI ensures ethical principles like fairness, interpretability, privacy, and reliability are embedded in AI systems.

6. Which Azure service is best for building a conversational chatbot?

A) Azure Kubernetes Service (AKS)

B) Azure Bot Service

C) Azure Functions

D) Azure Logic Apps✅ Correct Answer: B

Explanation: Azure Bot Service integrates with Cognitive Services (like Language Understanding (LUIS)) to create AI-powered chatbots.

https://sites.google.com/view/examsimulatortestengine/microsoft/ai-900-azure

7. What is the difference between classification and clustering?

A) Classification uses labeled data; clustering groups unlabeled data

B) Classification is unsupervised; clustering is supervised

C) Classification predicts numerical values; clustering detects anomalies

D) Classification requires Azure Databricks; clustering uses Computer Vision✅ Correct Answer: A

Explanation: Classification is a supervised learning task (labeled data), while clustering is unsupervised (finds patterns in unlabeled data).

8. Which tool helps explain ML model decisions to ensure transparency?

A) Azure DevOps

B) InterpretML

C) Azure Data Factory

D) Power BI✅ Correct Answer: B

Explanation: InterpretML is an open-source toolkit for model interpretability, aligning with Responsible AI principles.

https://sites.google.com/view/examsimulatortestengine/home

9. What does the Text Analytics API in Azure Cognitive Services analyze?

A) Sentiment, key phrases, and language detection

B) Image metadata

C) Speech patterns

D) Video frames✅ Correct Answer: A

Explanation: The Text Analytics API processes text for sentiment analysis, key phrase extraction, and language identification.

10. Which scenario is best suited for Anomaly Detection in Azure AI?

A) Translating documents between languages

B) Identifying fraudulent credit card transactions

C) Generating artwork using AI

D) Training a voice assistant✅ Correct Answer: B

Explanation: Anomaly Detection identifies unusual patterns (e.g., fraud) in data, part of Azure Cognitive Services.

https://github.com/Examprepsol

Key Takeaways for Microsoft AI 900 Azure AI Fundamentals Dumps:

• Focus on Azure Cognitive Services (Vision, Speech, Language, Decision).
• Understand supervised vs. unsupervised learning.
• Know Responsible AI principles.
• Practice identifying use cases for Azure AI tools.

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