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Microsoft AI-900 Exam Prep Course (Premium File)
AI-Powered Microsoft Azure AI Fundamentals Exam - Pass on Your First Try

Last updated on Jun 09, 2026

AI-900 Practice Exam
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Last Updated: 09-Jun-2026
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All Microsoft Azure AI Fundamentals certification learning material, study guide, training courses are created by a team of Microsoft training experts. The Study Guide and .EXM training software files contain relevant Microsoft Azure AI Fundamentals content, labs, practice questions and explanation. This AI-900 exam guide and training courses is based on the latest exam outlines available!

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Microsoft Azure AI Fundamentals Study package designed to help you confidently pass your exam.

The AI-900 Exam Prep Features:

  • Contains the most relevant and up to date AI-900 study material covering all exam topics on the latest AI-900 certification.
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How to Prepare and Pass the Microsoft AI-900 Exam

If you're interested in gaining knowledge and certification in artificial intelligence (AI) fundamentals, the Microsoft AI-900 exam is an excellent starting point. This article will guide you through the essential information about the AI-900 exam, including its objectives, format, and tips to help you succeed.

About the Microsoft AI-900 Exam

The Microsoft AI-900: Microsoft Azure AI Fundamentals exam is designed to validate your understanding of AI concepts and how they are implemented in Microsoft Azure. It is an entry-level exam suitable for students, developers, or professionals interested in AI technologies.

Exam Objectives

  • Understanding AI workloads and principles (15-20%)
  • Understanding fundamental concepts of machine learning (30-35%)
  • Understanding fundamental concepts of computer vision (15-20%)
  • Understanding fundamental concepts of natural language processing (NLP) (15-20%)
  • Understanding fundamental concepts of conversational AI (10-15%)

Exam Format

The AI-900 exam consists of around 40-60 multiple-choice questions. The exact number of questions may vary. The exam duration is approximately 60 minutes. It's important to note that Microsoft frequently updates the exam format, so it's recommended to visit the official Microsoft Learning website for the most accurate and up-to-date information.

Preparing for the AI-900 Exam

1. Understand the Exam Objectives

Begin your preparation by thoroughly understanding the exam objectives outlined by Microsoft. This will help you focus your studies on the key areas and ensure you cover all the necessary topics.

2. Review Official Microsoft Documentation

Microsoft provides comprehensive documentation and learning resources for the AI-900 exam. Review the official Microsoft Azure documentation, whitepapers, and case studies related to AI concepts and Azure services. This will give you a solid foundation and deeper insights into the subject matter.

3. Take Online Courses and Training

Microsoft offers online courses and training materials specifically tailored for the AI-900 exam. These resources include self-paced learning modules, video tutorials, and hands-on labs. Enroll in these courses to enhance your understanding of AI fundamentals and gain practical experience with Azure AI services.

4. Practice with Hands-on Labs

Practical experience is crucial for passing the AI-900 exam. Take advantage of the Azure free tier or trial accounts to gain hands-on experience with Azure AI services. Practice implementing machine learning models, computer vision algorithms, and NLP techniques using Azure's AI platform.

5. Join Study Groups and Forums

Engaging with a community of fellow learners can provide additional support and valuable insights. Join online study groups or forums where you can discuss concepts, share resources, and ask questions. Collaborating with others can enhance your learning experience and help you clarify any doubts you may have.

6. Utilize Practice Tests

Practice tests are invaluable for assessing your knowledge and identifying areas that require further improvement. Several online platforms offer AI-900 practice tests that simulate the actual exam environment. Take these tests to gauge your readiness and get accustomed to the exam format.

7. Stay Updated with Azure and AI Developments

Azure and AI technologies are constantly evolving. It's crucial to stay updated with the latest developments in Azure and AI. Follow Microsoft's official blogs, forums, and social media channels to stay informed about new features, updates, and best practices. This will not only help you in the exam but also keep you well-informed in your future AI endeavors.

Tips for Passing the AI-900 Exam

1. Create a Study Plan

Develop a study plan that includes a timeline, specific goals, and allocated study hours. Organize your study materials and topics according to the exam objectives. Having a structured plan will keep you focused and ensure you cover all the necessary content.

2. Hands-on Practice

As mentioned earlier, practical experience is essential. Take the time to implement AI concepts and Azure AI services through hands-on practice. The more familiar you are with the tools and technologies, the better you'll perform in the exam.

3. Understand Key Concepts

Ensure you have a solid understanding of key AI concepts, such as supervised and unsupervised learning, data preprocessing, model evaluation, computer vision algorithms, natural language processing techniques, and conversational AI principles. Being able to grasp these fundamental concepts will help you answer exam questions accurately.

4. Familiarize Yourself with Azure AI Services

Get to know the various Azure AI services, including Azure Cognitive Services, Azure Machine Learning, Azure Bot Service, and Azure Computer Vision. Understand their features, use cases, and how they can be integrated into AI solutions. This knowledge will be valuable for both the exam and real-world scenarios.

5. Review Documentation and Sample Code

Thoroughly review the official Microsoft Azure documentation related to AI services. Additionally, explore sample code and implementation examples provided by Microsoft. This will give you practical insights into how AI concepts are implemented using Azure services.

6. Practice Time Management

During the exam, time management is crucial. Practice answering sample questions within the time constraints to improve your speed and accuracy. This will help you navigate through the exam smoothly and ensure you complete all the questions on time.

7. Read Questions Carefully

Take the time to read each question carefully before selecting an answer. Pay attention to keywords, qualifiers, and specific requirements mentioned in the question. Avoid making assumptions and choose the most appropriate answer based on the given information.

8. Eliminate Incorrect Options

If you're unsure about an answer, try eliminating obviously incorrect options. Narrowing down the choices can increase your chances of selecting the correct answer, even if you're uncertain about it.

9. Practice Mindfulness and Rest

Maintain a calm and focused mindset during the exam. Practice mindfulness techniques to reduce stress and anxiety. Additionally, ensure you get enough rest before the exam day to stay alert and perform at your best. Remember, thorough preparation, hands-on experience, and a clear understanding of the exam objectives are the keys to passing the Microsoft AI-900 exam. Good luck with your exam preparation, and may you embark on a successful journey in the exciting world of AI!
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VirtuLearn AI

Why pull first, its create is first is it
Yes. The sequence is correct because you need a base image first.

  • Step 1: Pull the base container image (Anomaly Detector) to have a starting point.
  • Step 2: Create a Dockerfile to capture the exact changes you want (reproducible build).
  • Step 3: Build and push the customized image to Azure Container Registry (ACR).
  • Step 4: Distribute a docker run script to deploy the container on devices.

Why not start with the Dockerfile? You need the base image to reference in the FROM line, and you can only push a built image to ACR, not an unbuilt modification.

Singapore, Singapore

VirtuLearn AI

Question 5:

  • In Azure Resource Manager (ARM) REST APIs, creating or updating a resource is done with a PUT request to the resource’s exact URL (idempotent operation). This means you can repeatedly call the same PUT and it will create the resource if it doesn’t exist or update it if it does.
  • POST is used to create resources under a collection (without a predefined name), which would generate a new resource id each time and is not suitable when you need a single, known resource name and a single endpoint/key to consolidate billing and access.
  • For Question 5, you’re creating a new resource at a specific path (with a known resource name) to provide a single key/endpoint for multiple services. Therefore, PUT is the correct method.

If you’d like, I can outline the exact REST call structure (URL, headers, and body) for creating the Cognitive Services/related resource using PUT.

Singapore, Singapore

Smila Vincent

After purchase, life time access?

Singapore, Singapore

VirtuLearn AI

Question 62:

  • Correct answer: D. Implement Jenkins on Compute Engine virtual machines.

  • Why this is the best choice:
- Since the app runs on GCP, hosting Jenkins on Compute Engine VMs keeps the CI/CD infrastructure in the same cloud environment, simplifying access to GCP services and credentials. - It reduces operational toil compared to managing Jenkins on local workstations or on-prem Kubernetes. - Cloud Functions cannot host a full Jenkins server (they’re serverless and not suited for long-running CI/CD tasks). - Using the Google Compute Engine plugin (google-compute-engine) lets Jenkins provision and manage GCE resources for build agents, enabling scalable, cloud-native pipelines.
  • How this supports security and streamline releases:
- Use GCP IAM/service accounts for least-privilege access, encrypt artifacts at rest, and place Jenkins behind private networking or IAP/VPN as needed. - Centralize credentials and secrets in Jenkins’ credentials store or Cloud KMS-backed solutions. - Automate deployments to GCP resources (App Engine, GKE, Cloud Run, Compute) via pipelines.
  • Why other options are less suitable:
- Local workstations: not scalable or secure for team CI/CD. - On-prem Kubernetes: adds management burden and detaches from GCP as the hosting environment. - Cloud Functions: not appropriate for a persistent Jenkins server.

Zionsville, United States

VirtuLearn AI

Establish if the solution satisfies the requirements. Your company has a Microsoft SQL Server Always On availability group configured on their Azure virtual machines (VMs). You need to configure an Azure internal load balancer as a listener for the availability group. Solution: You enable Floating IP. Does the solution meet the goal?

  • Yes.

  • Explanation: When using an Azure internal load balancer as a listener for a SQL Server Always On availability group, you must enable the Floating IP feature. This allows the internal listener IP to float to the active primary replica, ensuring the listener remains reachable and client connections are redirected correctly after failover. The Floating IP setting is required for stable listener behavior in AG configurations.

Johannesburg, South Africa

VirtuLearn AI

Question 10:

  • Answer: Yes

  • Why: The Windows 10 P2S VPN client must include the correct route(s) to reach VNetB via the VPN gateway in VirtualNetworkA. When you peered VirtualNetworkA with VirtualNetworkB, the address space reachable through the gateway changed, but the existing P2S client package may not contain the updated routes. By re-downloading and reinstalling the VPN client configuration, you install an updated client package that includes the route to VirtualNetworkB, allowing the workstation to connect to VNetB through the gateway. This is the documented approach after changing VNets or peering that affects address spaces.

Johannesburg, South Africa

Dug

Passed this exam! The exam is tough and very F***ing tricky. These practice questions are very very relevant and the AI teaching assistant is an enormous help!

United States

VirtuLearn AI

Question 21:

  • Correct answer: B. The command fails due to syntax error.

  • Why it’s wrong:
- Databricks SQL insert statements require a source query after the target table, e.g.: INSERT INTO [TABLE] target_table SELECT ... or INSERT OVERWRITE TABLE target_table SELECT .... - The given command uses INSERT INTO stakeholders.suppliers TABLE stakeholders.new_suppliers; but there is no SELECT or query to provide data, and the TABLE keyword is not used that way for a source. - So the statement doesn’t conform to the required syntax: it’s missing the source query and the INTO/OVERWRITE structure.
  • How to fix (examples):
- Append data from new_suppliers into suppliers: INSERT INTO TABLE stakeholders.suppliers SELECT * FROM stakeholders.new_suppliers; - Overwrite suppliers with data from new_suppliers: INSERT OVERWRITE TABLE stakeholders.suppliers SELECT * FROM stakeholders.new_suppliers; - To avoid duplicates, use DISTINCT: INSERT INTO TABLE stakeholders.suppliers SELECT DISTINCT * FROM stakeholders.new_suppliers;
  • Key concept: insert statements need a target, a mode (INTO

Heerlen, Netherlands

Gobn

Passed this exam... thanks to the AI Tutor for this exam course. It is well-trained and has the latest info. Good job with this guys.

India

VirtuLearn AI

Question 18:

  • Correct answer: A: Expose it in the markup using the implements and access attributes.

Why:
  • App Builder only lists Aura components that declare appropriate interfaces via implements (e.g., flexipage:availableForAllPageTypes). Without this, the component isn’t available to add to a Lightning App Builder page.
  • The access="global" setting makes the component usable across apps/pages, including App Builder; without it, it may not render in the builder.

Why the other options are not correct:
  • Deleting/recreating components and metadata won’t make it available in App Builder.
  • Upgrading API version won’t expose the component if it isn’t annotated with the proper interfaces.
  • Looking for JS errors addresses runtime problems, not the exposure in App Builder.

Example snippet: <aura:component implements="flexipage:availableForAllPageTypes" access="global"> ... component code ... </aura:component>

Suwanee, United States