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The candidates who struggle most are usually those studying with outdated information. PrepAwayTest eliminates that risk for the AI-901 exam with continuously renewed materials and 127 practice questions mapped to the current objectives.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals (AI-900) Exam |
| Exam Number: | AI-900 |
| Exam Duration: | 60 minutes |
| Exam Price: | Approx. 99 USD (varies by region) |
| Available Languages: | French, German, Portuguese (Brazil), English, Korean, Chinese (Simplified), Chinese (Traditional), Spanish, Japanese |
| Certificate Validity Period: | Does not expire (Fundamentals certification) |
| Passing Score: | 700 (out of 1000) |
| Related Certifications: | Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure Fundamentals (AZ-900) |
| Real Exam Qty: | 40-60 |
| Exam Format: | Drag and drop, Multiple choice, Multiple response, Case study (limited) |
| Recommended Training: | Microsoft Learn - AI-900 Learning Path Azure AI Fundamentals Course |
| Exam Registration: | Microsoft Certification Portal Schedule exam via Pearson VUE |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam or in-person test center |
| Pre Condition: | No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/ |
| Section | Weight | Objectives |
|---|---|---|
| Describe fundamental principles of machine learning on Azure | 25-30% | - Azure Machine Learning basics
|
| Describe features of generative AI workloads on Azure | 10-15% | - Generative AI concepts
|
| Describe features of computer vision workloads on Azure | 15-20% | - Azure AI Vision services
|
| Describe features of natural language processing (NLP) workloads on Azure | 15-20% | - Azure NLP services
|
| Describe Artificial Intelligence workloads and considerations | 20-25% | - Responsible AI principles
|
A complete package backed by a full service system: 127 practice questions for the Microsoft Azure AI Fundamentals exam in three formats — a printable, expert-prepared PDF with instant download; a Desktop Test Engine for Windows that simulates the real exam with two practice modes and works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. Also included: a free demo, 365 days of free updates renewed continuously by experts, a 50% renewal discount afterward, unlimited installations, and 24-hour full-time online service.
The official Microsoft Azure AI Fundamentals outline organizes the exam into 5 domains. The three heaviest are Describe features of natural language processing (NLP) workloads on Azure (15-20%), Describe features of computer vision workloads on Azure (15-20%), and Describe fundamental principles of machine learning on Azure (25-30%). The complete list is in the topics section above, and the 127 practice questions at PrepAwayTest cover every domain.
The AI-901 exam is a Microsoft certification exam covering the Microsoft Azure AI Fundamentals syllabus shown above. It contributes to these credential paths: Microsoft Azure Data Fundamentals (DP-900), Microsoft Azure Fundamentals (AZ-900). It has a reputation for being demanding — which is exactly why the credential carries weight with employers in 2026. PrepAwayTest prepares you with 127 practice questions in PDF, Desktop Test Engine, and Online Test Engine formats.
You need 700 (out of 1000) to pass the Microsoft Azure AI Fundamentals exam, and registration costs Approx. 99 USD (varies by region). Since retakes are priced the same, verifying readiness with the PrepAwayTest practice engines first is simply good budgeting.
Microsoft recommends these training resources for the Microsoft Azure AI Fundamentals exam:
Pair the training with the 127 practice questions from PrepAwayTest — renewed continuously, they keep your practice aligned with the newest exam information.
PrepAwayTest refunds you in full if you take the Microsoft Azure AI Fundamentals exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Delivery is by email within 1 minute of purchase — contact support if nothing arrives within 2 hours.
Online proctored exam or in-person test center Register for the Microsoft Azure AI Fundamentals exam through these official channels:
After booking, your PrepAwayTest practice questions arrive by email within 1 minute — preparation can begin immediately.
The Microsoft Azure AI Fundamentals exam presents 40-60 within 60 minutes. That pacing is part of the challenge — rehearse it with the timed mode in the PrepAwayTest Desktop Test Engine.
No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended. Requirements are updated from time to time, so confirm the latest on the official Microsoft exam page before scheduling.
You are developing an application that extracts fields from PDFs by using Azure Content Understanding in Foundry Tools.
You need to use the Python SDK to submit a PDF for analysis and retrieve the extraction results.
What should you do?
Correct Answer: C 🗳️
Explanation: Only visible for PrepAwayTest members. You can sign-up / login (it's free).
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
A system prompt, also called a system message, is used to guide how a generative AI model behaves, including its tone, role, response style, and output format. Microsoft states that system messages help steer an Azure OpenAI chat model toward the desired behavior, tone, and output format.
Statement 1: System prompts can be used to authorize users. = No
Authorization is handled by application identity, access control, authentication, and security configuration. A system prompt can guide model behavior, but it is not an authorization mechanism.
Statement 2: A system prompt is used to reduce tokens per minute (TPM). = No TPM is a quota or throughput setting for model deployments. A system prompt does not reduce or configure TPM.
Statement 3: A system prompt guides the behavior of a generative AI model. = Yes This is correct. Microsoft documentation says system messages help steer the model's behavior, tone, and output format.
You need to compare the costs of large language models (LLMs) for a generative AI solution.
What should you use in the Microsoft Foundry portal?
Correct Answer: D 🗳️
Explanation: Only visible for PrepAwayTest members. You can sign-up / login (it's free).
You have a Microsoft Foundry project that contains an agent named Agent1.
You need to ensure that Agent1 always calls an Azure function when the agent responds to user input.
To what should you set tool_choice for Agent1?
Correct Answer: B 🗳️
Explanation: Only visible for PrepAwayTest members. You can sign-up / login (it's free).
You have a Microsoft Foundry project named project1 that contains an Azure OpenAI resource named Resource1.
To Resource1, you deploy a gpt-4.1-mini model by using a model deployment named my-mini-gpt.
You need to connect to my-mini-gpt from an application.
How should you complete the Python code? To answer, drag the appropriate values to the correct targets.
Each value may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
client = OpenAI(
api_key= " ... " ,
base_url= " https://resource1.openai.azure.com/openai/v1/ " ,
)
response = client.responses.create(
model= " my-mini-gpt " ,
)
For Azure OpenAI in Microsoft Foundry, the base_url uses the Azure OpenAI resource name in the endpoint format:
https:// < resource-name > .openai.azure.com/openai/v1/
In the question, the Azure OpenAI resource is named Resource1 , so the first blank must be resource1 .
Microsoft documentation for Azure OpenAI v1 endpoints confirms that the endpoint must use the ...openai.
azure.com/openai/v1/ path.
For the model parameter, Azure OpenAI requires the deployment name , not the underlying model name.
Microsoft states that Azure OpenAI always requires the deployment name when calling APIs, even when the parameter is named model.
The deployed model is gpt-4.1-mini , but the deployment name is my-mini-gpt . Therefore, the second blank must be:
model= " my-mini-gpt "
So the correct selections are:
base_url blank = resource1
model blank = my-mini-gpt
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