Microsoft AI-100 Exam : Designing and Implementing an Azure AI Solution

Microsoft AI-100 exam
  • Exam Code: AI-100
  • Exam Name: Designing and Implementing an Azure AI Solution
  • Updated: Oct 09, 2026
  • Q & A: 163 Questions and Answers
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About Microsoft AI-100 Exam Questions

In 2026, wasting time on useless materials is the expensive option. VerifiedDumps concentrates your review: 163 practice questions mapped to the Microsoft Designing and Implementing an Azure AI Solution syllabus, with engines that show where each hour went.

Microsoft AI-100 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Designing and Implementing an Azure AI Solution
Exam Number:AI-100
Exam Duration:150 minutes
Exam Price:USD 165 (varies by region)
Available Languages:English, Chinese (Simplified), Korean, Japanese
Certificate Validity Period:2 years from issue date
Exam Format:Multiple-choice, Scenario-based questions, Case studies, Drag-and-drop
Real Exam Qty:50-60
Passing Score:700 (scaled out of 1000)
Related Certifications:Replaced by AI-102: Designing and Implementing a Microsoft Azure AI Solution
Recommended Training:AI-102 Replacement Exam Details
Microsoft Learn Free Learning Paths
Exam Registration:Microsoft Learn Exam Page
Pearson VUE Registration
Sample Questions:Free Download Pass AI-100 Exam Cram
Exam Way:Online proctored or onsite at Pearson VUE test centers; RETIRED effective June 30, 2021
Pre Condition:No mandatory prerequisites; recommended: Azure fundamentals, C#/Python, REST APIs, basic AI/ML knowledge
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-100/

Microsoft AI-100 Exam Syllabus Topics:

SectionWeightObjectives
Implement and Monitor AI Solutions25-30%- Integrate AI models and services into applications
- Configure security and access controls
- Monitor performance, usage, and health
- Maintain and update AI solutions
- Deploy AI solutions to Azure infrastructure
Analyze Solution Requirements25-30%- Define solution performance and scalability criteria
- Evaluate data storage and processing options
- Assess security, compliance, and governance needs
- Identify business and technical requirements
Design AI Solutions40-45%- Design natural language processing solutions
- Design computer vision solutions
- Integrate open-source and custom AI components
- Design knowledge mining and search solutions
- Select appropriate Azure Cognitive Services
- Design conversational AI and bot solutions

Your Microsoft Designing and Implementing an Azure AI Solution Exam Questions, Answered

Microsoft recommends these training resources for the Microsoft Designing and Implementing an Azure AI Solution exam:

Follow the training with steady self-testing — the 163 practice questions from VerifiedDumps help you apply theory and fill any gaps the training leaves.

The official Microsoft Designing and Implementing an Azure AI Solution outline defines 3 domains. The leading three are Analyze Solution Requirements (25-30%), Design AI Solutions (40-45%), and Implement and Monitor AI Solutions (25-30%). The full list is in the topics section above, and VerifiedDumps's 163 practice questions cover each one.

Online proctored or onsite at Pearson VUE test centers; RETIRED effective June 30, 2021 Register for the Microsoft Designing and Implementing an Azure AI Solution exam through these official channels:

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The Microsoft Designing and Implementing an Azure AI Solution exam contains 50-60 to complete within 150 minutes. Timed simulation in the VerifiedDumps Desktop Test Engine teaches that rhythm before exam day does.

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The AI-100 exam is a Microsoft certification exam validating the Microsoft Designing and Implementing an Azure AI Solution syllabus shown above. It belongs to these credential paths: Replaced by AI-102: Designing and Implementing a Microsoft Azure AI Solution. Candidates in 2026 prepare for it with VerifiedDumps's 163 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.

No mandatory prerequisites; recommended: Azure fundamentals, C#/Python, REST APIs, basic AI/ML knowledge Since requirements change over time, confirm the latest on the official Microsoft exam page before scheduling.

The Microsoft Designing and Implementing an Azure AI Solution exam requires 700 (scaled out of 1000) to pass, and registration costs USD 165 (varies by region). A failed attempt means paying the same fee again — a readiness check with the VerifiedDumps engines before booking is the cheaper option.

Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows with customizable simulation and timed modes that works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 163 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.

Microsoft Designing and Implementing an Azure AI Solution Sample Questions:

Question #1

You need to build an A) solution that will be shared between several developers and customers.
You plan to write code, host code, and document the runtime all within a single user experience.
You build the environment to host the solution.
Which three actions should you perform in sequence next? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Reveal Solution  Discussion  0

Correct Answer:


Explanation

Step 1: Create an Azure Machine Learning Studio workspace
Step 2: Create a notebook
You can manage notebooks using the UI, the CLI, and by invoking the Workspace API.
To create a notebook
* Click the Workspace button Workspace Icon or the Home button Home Icon in the sidebar. Do one of the following:
Next to any folder, click the Menu Dropdown on the right side of the text and select Create > Notebook.
Create Notebook
In the Workspace or a user folder, click Down Caret and select Create > Notebook.
2. In the Create Notebook dialog, enter a name and select the notebook's primary language.
3. If there are running clusters, the Cluster drop-down displays. Select the cluster to attach the notebook to.
4. Click Create.
Step 3: Create a new experiment
Create a new experiment by clicking +NEW at the bottom of the Machine Learning Studio window. Select EXPERIMENT > Blank Experiment.
References:
https://docs.azuredatabricks.net/user-guide/notebooks/notebook-manage.html
https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-run-cloud-notebook

Question #2

You are designing an AI solution that will provide feedback to teachers who train students over the Internet.
The students will be in classrooms located in remote areas. The solution will capture video and audio data of the students in the classrooms.
You need to recommend Azure Cognitive Services for the AI solution to meet the following requirements:
Alert teachers if a student seems angry or distracted.
Identify each student in the classrooms for attendance purposes.
Allow the teachers to log the text of conversations between themselves and the students.
Which Cognitive Services should you recommend?

  • A. Computer Vision, Speech to Text, and Text Analytics
  • B. Text Analytics, QnA Maker, and Computer Vision
  • C. Computer Vision, Text Analytics, and Face API
  • D. Video Indexer, Face API, and Text Analytics
  • E. Video Indexer, Speech to Text, and Face API
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

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

Question #3

You plan to implement a new data warehouse for a planned AI solution. You have the following information regarding the data warehouse:
*The data files will be available in one week.
*Most queries that will be executed against the data warehouse will be ad-hoc queries.
*The schemas of data files that will be loaded to the data warehouse will change often.
*One month after the planned implementation, the data warehouse will contain 15 TB of data.
You need to recommend a database solution to support the planned implementation.
What two solutions should you include in the recommendation? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.

  • A. an Azure virtual machine that runs Microsoft SQL Server
  • B. Apache Spark
  • C. a Microsoft Azure SQL database
  • D. Apache Hadoop
Reveal Solution  Discussion  0

Correct Answer: B,D  🗳️

Question #4

You are designing a Computer Vision Al application.
You need to recommend a deployment solution for the application. The solution must ensure that costs scale linearly without any upfront costs.
What should you recommend?

  • A. a containerized Computer Vision API on Azure Container Instances
  • B. a containerized Computer Vision API on Azure Kubermetes Service (AKS) that has virtual nodes configured
  • C. An Azure Container Service
  • D. the Computer Vision APi as a single resource
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #5

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an application that uses an Azure Kubernetes Service (AKS) cluster.
You are troubleshooting a node issue.
You need to connect to an AKS node by using SSH.
Solution: You add an SSH key to the node, and then you create an SSH connection.
Does this meet the goal?

  • A. No
  • B. Yes
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

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