AI-900 Exam Preparation Material | Microsoft Azure AI Fundamentals

Prepare for the AI-900 with reliable study materials, practice questions, and key exam insights.

Prepare for the AI-900 Microsoft Azure AI Fundamentals exam with CertQueen's independently developed study resources. Review important concepts, practice scenario-based questions, and use clear explanations to identify areas that require further study.

Question#1

You have a chatbot that answers technical questions by using the Azure OpenAI GPT-3.5 large language model (LLM).
Which two statements accurately describe the chatbot? Each correct answer presents a complete solution. NOTE: Each correct answer is worth one point.

A. Grounding data can be used to constrain the output of the chatbot.
B. The chatbot will always provide accurate data.
C. The chatbot might respond with inaccurate data.
D. The chatbot is suitable for performing medical diagnosis.

Question#2

You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user:
• Accept customer orders.
• Retrieve support documents.
• Retrieve order status updates.
Which type of NLP should you use?

A. sentiment analysis
B. translation
C. language modeling
D. named entity recognition

Question#3

You need to identify street names based on street signs in photographs.
Which type of computer vision should you use?

A. object detection
B. optical character recognition (OCR)
C. image classification
D. facial recognition

Question#4

HOTSPOT
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.


A. 

Explanation:
You train a regression model by using unlabeled data.
No, this is false. Regression models are supervised learning models that require labeled data for training. Unlabeled data doesn't have the outcome variable needed for regression training.
The classification technique is used to predict sequential numerical data over time.
No, this is false. Classification is used for categorizing inputs into two or more classes, not for predicting numerical data over time. Time series forecasting or regression techniques are more suitable for predicting numerical data over time.
Grouping items by their common characteristics is an example of clustering.
Yes, this is true. Clustering is an unsupervised learning technique where you group data points that have similar characteristics.

Question#5

Which two languages can you use to write custom code for Azure Machine Learning designer? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

A. C#
B. Scala
C. Python
D. R

Exam Code: AI-900
Q & A: 322 Q&As         Updated:  Jan 09,2026

 

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What This AI-900 Study Resource Helps You Do

Review Key Concepts

Review the technologies, products, processes, and practical skills covered by the current AI-900 exam objectives.

Practice Scenario-Based Questions

Work through independently developed questions designed to strengthen your understanding of technical scenarios and decision-making.

Identify Knowledge Gaps

Use your results and the provided explanations to find weaker areas and focus your study more effectively.

How to Use This AI-900 Preparation Material

Review the Exam Scope

Start by reviewing the topics covered by the AI-900 exam. Compare them with the official exam objectives to understand the required technologies, operational tasks, and practical skills, then identify the areas that deserve the most attention.

Practice Independently

Complete a focused set of practice questions for each topic. On your first attempt, avoid referring to notes, answers, or other study resources so that you can evaluate your current understanding more accurately.

Study the Explanations

Review the answers and explanations after completing each practice session. Understand why the correct option is appropriate for the given scenario and why the other options may be incorrect or less suitable.

Close Knowledge Gaps

Keep track of incorrect answers, unfamiliar concepts, and weaker knowledge areas. Review these topics using official documentation and practical experience, then answer the related questions again to reinforce your understanding and monitor your progress.

Independent AI-900 Preparation Resource

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Exam Code: AI-900
Q & A: 322 Q&As
Updated:  Jan 09,2026

 

 Access Complete AI-900 Preparation Material