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AI-901 exam dumps

Microsoft AI-901 Value Package

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  • Exam Code: AI-901
  • Exam Name: Microsoft Azure AI Fundamentals
  • No. of Questions: 132 Questions and Answers
  • Updated: Nov 04, 2026

Your calendar is full and the AI-901 exam date is not moving. That is exactly the situation Actual4Labs is built for: 132+ Q&As covering the Microsoft Azure AI Fundamentals objectives, current for 2026, so the hours you do have are never wasted on dead content.

Microsoft AI-901 Exam Syllabus Topics:

SectionWeightObjectives
Identify AI concepts and responsibilities40-45%- Identify AI model components and configurations
  • 1. Describe model deployment and consumption concepts
  • 2. Describe model training and evaluation concepts
  • 3. Describe data preparation for AI models
- Describe principles of responsible AI
  • 1. Describe reliability and safety considerations
  • 2. Describe transparency considerations
  • 3. Describe accountability considerations
  • 4. Describe inclusiveness considerations
  • 5. Describe fairness considerations
  • 6. Describe privacy and security considerations
- Identify AI concepts and features
  • 1. Describe capabilities of computer vision
  • 2. Describe capabilities of natural language processing
  • 3. Describe capabilities of machine learning
  • 4. Describe characteristics of generative AI
  • 5. Describe types of AI workloads
Implement AI solutions by using Microsoft Foundry55-60%- Implement AI solutions
  • 1. Implement single-agent solutions
  • 2. Monitor and manage AI solutions
  • 3. Use code examples to call AI services
  • 4. Integrate AI services into applications
- Get started with Microsoft Foundry
  • 1. Describe core features and use cases of Microsoft Foundry
  • 2. Create and configure a Foundry project
  • 3. Navigate the Microsoft Foundry portal
- Work with models in Microsoft Foundry
  • 1. Fine-tune models
  • 2. Discover and deploy foundation models
  • 3. Customize models with prompt engineering
  • 4. Evaluate model performance and safety

The Microsoft Azure AI Fundamentals Exam Questions Everyone Asks

No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended These conditions come from Microsoft and can be revised, so confirm the current requirements on the official exam page: https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/ — better a two-minute check than a wasted Microsoft Azure AI Fundamentals registration.

The Microsoft Azure AI Fundamentals exam gives you 60 minutes to work through 30-40 questions. Split that down and each question earns only a narrow slice of the clock — lingering too long on one item borrows time from three others. Build the habit now: run timed, full-length sessions in the Actual4Labs test engine until finishing early feels normal on the real AI-901 exam.

Microsoft recommends these official training resources:

Once the coursework is done, pressure-test it with the 132 practice questions for the AI-901 exam from Actual4Labs — theory only counts when it survives exam conditions.

The AI-901 exam is Microsoft's official assessment leading to the Microsoft Certified: Azure AI Fundamentals certification, which sits at the Fundamental level. It validates job-ready, vendor-recognized skills — the kind employers screen for.

Delivery takes about a minute: after payment, Actual4Labs emails your AI-901 download instantly — if nothing arrives within 2 hours, check spam and contact support for an immediate resend. Install it on as many computers as you like. On failure: take the corresponding AI-901 exam within 60 days of purchase, and a fail qualifies you for a full refund. File within 2 days after the exam with a scanned enrollment slip and the official Score Report PDF; claims close within 7 days. Excluded are attempts within 3 days of purchase, exams never actually taken, free materials, and expired orders — and the candidate name must match the payer name. Prefer to keep studying? On request we can exchange your product for two free exam products of equal value, and your original purchase keeps its update service.

The Microsoft Azure AI Fundamentals syllabus divides into 2 domains, led by Implement AI solutions by using Microsoft Foundry (55-60%), Identify AI concepts and responsibilities (40-45%), . Heavier domains deserve heavier study time — the complete outline with every domain is listed above on this page.

Book through the official Microsoft registration channels:

One thing to note while booking: the exam is delivered via Online proctored or onsite at Pearson VUE test centers.

Plan on $99 USD per attempt, with 700 required to pass the Microsoft Azure AI Fundamentals exam. Since every retake bills the full fee again, the cheapest strategy is arriving overprepared. Test yourself with Actual4Labs practice questions first — when your timed scores clear 700 consistently, booking the AI-901 exam becomes a formality.

Yes — a free demo is available for the Microsoft Azure AI Fundamentals product, so you can review the question style and verified answers yourself first. After purchase, 365 days of free updates are included; once the year ends, the update service renews at a 50% discount from your member zone.

Microsoft Azure AI Fundamentals Sample Questions:

You are developing an application that processes voicemail recordings by using Azure Content Understanding in Foundry Tools.
Which feature does Azure Content Understanding use to convert audio to text?

  • A. Voice Live
  • B. key phrase extraction
  • C. transcription
  • D. optical character recognition (OCR)
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).

When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.
This is an example of which Microsoft guiding principle for responsible AI?

  • A. inclusiveness
  • B. fairness
  • C. privacy and security
  • D. transparency
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

You are developing a system to predict the prices of insurance for drivers in the United Kingdom. You need to minimize unintended bias in the system. What should you do?

  • A. Take a training sample that is representative of the population in the United Kingdom.
  • B. Create a training dataset that uses data from global insurers
  • C. Remove information about protected characteristics from the data before sampling.
  • D. Take a completely random training sample.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).

You are developing an application that uses the Azure Language SDK and a Microsoft Foundry resource.
You need to return a list of important topics from unstructured text.
Which Python method should you use?

  • A. client.recognize_linked_entities()
  • B. client.extract_key_phrases()
  • C. client.recognize_entities()
  • D. client.begin_extract_summary()
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).

Select the answer that correctly completes the sentence.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The completed sentence is:
After deploying a vision-enabled GPT model in Microsoft Foundry, you can configure an application to send requests to the endpoint of the model.
To call a deployed model from an application, the application must send requests to the deployed model's endpoint and include the required authentication credentials. The Foundry playground is used for testing interactively, but application code calls the deployed model endpoint.
The other options are incorrect:
evaluation pipeline of model is used to evaluate model performance, not to receive inference requests from an app.
Foundry playground is an interactive testing environment, not the production target for application requests.
training dataset of the model is used for training or fine-tuning, not for sending inference requests.
Therefore, the correct answer is endpoint of the model.

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