Exam Name: Microsoft Azure AI Fundamentals
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Azure AI Fundamentals
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Updated: Oct 10, 2026
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The Microsoft Azure AI Fundamentals certification is a hot topic in the IT industry for a reason. TestKingIT helps you join the conversation with 132 practice questions and specific analyses.
Microsoft AI-901 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals (AI-900) Exam |
| Exam Number: | AI-900 |
| Available Languages: | Japanese, French, Portuguese (Brazil), Chinese (Simplified), English, Korean, Spanish, Chinese (Traditional), German |
| Exam Format: | Multiple choice, Drag and drop, Case study (limited), Multiple response |
| Exam Duration: | 60 minutes |
| Certificate Validity Period: | Does not expire (Fundamentals certification) |
| Real Exam Qty: | 40-60 |
| Related Certifications: | Microsoft Azure Fundamentals (AZ-900) Microsoft Azure Data Fundamentals (DP-900) |
| Exam Price: | Approx. 99 USD (varies by region) |
| Passing Score: | 700 (out of 1000) |
| Recommended Training: | Microsoft Learn - AI-900 Learning Path Azure AI Fundamentals Course |
| Exam Registration: | Schedule exam via Pearson VUE Microsoft Certification Portal |
| 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/ |
Microsoft AI-901 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe features of generative AI workloads on Azure | 10-15% | - Generative AI concepts
|
| Describe features of natural language processing (NLP) workloads on Azure | 15-20% | - Text analysis
|
| Describe Artificial Intelligence workloads and considerations | 20-25% | - Identify features of common AI workloads
|
| Describe fundamental principles of machine learning on Azure | 25-30% | - Machine learning concepts
|
| Describe features of computer vision workloads on Azure | 15-20% | - Azure AI Vision services
|
Common Questions About the Microsoft AI-901 Exam
Yes — the free Microsoft Azure AI Fundamentals demo lets you evaluate question quality and analyses before paying. Purchases include 365 days of free updates, renewable afterward at 50% off.
Use the vendor's official registration channels:
The Microsoft Azure AI Fundamentals is delivered Online proctored exam or in-person test center, so choose the arrangement that suits you when booking.
The Microsoft Azure AI Fundamentals blueprint spans 5 domains — including Describe features of generative AI workloads on Azure (10-15%), Describe Artificial Intelligence workloads and considerations (20-25%), Describe features of computer vision workloads on Azure (15-20%). Read the weightings as priorities: the points concentrate where the percentages do. The full outline above covers every subtopic.
The Microsoft Azure AI Fundamentals is Microsoft's exam for the Microsoft Azure AI Fundamentals certification, a Fundamentals-level credential. It's a hot topic because certified candidates stand out in job competition — the credential opens possibilities that uncertified resumes can't. Related credentials include Microsoft Azure Data Fundamentals (DP-900), Microsoft Azure Fundamentals (AZ-900).
Approx. 99 USD (varies by region) per attempt; 700 (out of 1000) to pass. Every retake bills the full fee again, so prepare properly the first time — the 132 practice questions from TestKingIT are the affordable rehearsal.
Delivery is instant: payment triggers an automatic email within a minute, and the test engine opens easily without extra software installation. Nothing after 2 hours? Check spam and contact our round-the-clock support. If you fail the corresponding AI-901 exam within 60 days of purchase, we give a full refund — send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Exclusions: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.
60 minutes for 40-60 questions. That's a pace you can train: run timed simulations in the TestKingIT engine until answering at speed feels normal, and use the analyses to make every wrong answer count.
Yes:
After any course, deepen understanding with the 132 practice questions for the Microsoft Azure AI Fundamentals — the specific analyses extend your grasp of the technology, not just your memory of answers.
No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended. Vendors revise eligibility rules over time, so confirm the current requirements on the official page (official AI-901 exam page) before you register.
Microsoft Azure AI Fundamentals Sample Questions:
Match the description to the corresponding Microsoft Foundry tools.
To answer, drag the appropriate description from the column on the left to its tool on the right. Each description may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Speech recognition is used to recognize spoken language and convert it into written text. Therefore, the correct match is:
Speech recognition = Transcribes spoken input
Speech synthesis, also known as text to speech, is used to convert text into spoken audio. Therefore, the correct match is:
Speech synthesis = Generates spoken output
The other options are incorrect for these two tools:
Extracts entities from the output is a text analytics / language processing task.
Translates spoken input is speech translation.
Translates written output is text translation.
You are developing an application that analyze invoices by using Azure Content Understanding in Foundry Tools.
You need to ensure that the application retrieves the analysis results after processing completes.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
The completed code is:
poller = client.begin_analyze(
analyzer_id= " invoice " ,
input_url=url
)
result = poller.result()
Azure Content Understanding analysis uses a long-running operation pattern. The Python SDK returns a poller from begin_analyze(), and Microsoft documentation states that the SDK poller handles polling automatically when you call .result().
Therefore, to retrieve the analysis results after processing completes, the correct option is:
result
The other options are incorrect because status checks operation state, wait waits without returning the final analysis object, and get_results is not the method shown for retrieving the begin_analyze() result in this code pattern.
Select the answer that correctly complete the sentence.
Correct Answer:
Explanation:
The Model catalog is used for comparing and deploying a wide range of models for generative AI development in Microsoft Foundry.
Microsoft documentation states that the model catalog in Foundry portal is the hub for discovering and using a wide range of models to build generative AI applications. It also includes many models across providers such as Azure OpenAI, Mistral, Meta, Cohere, NVIDIA, and Hugging Face.
The Microsoft Learn module for Foundry models also states that the model catalog is used to explore and filter models, compare models using benchmark metrics, and deploy a model to an endpoint.
Your company wants to build a recycling machine for bottles. The recycling machine must use cameras to automatically identify bottles of the correct shape and reject all other items.
Which type of Al workload should the company use?
- A. natural language processing
- B. knowledge mining
- C. generative Al
- D. computer vision
Correct Answer: D 🗳️
Explanation: Only visible for TestKingIT members. You can sign-up / login (it's free).
Select the answer that correctly completes the sentence.
Correct Answer:
Explanation:
Speech
The correct answer is speech . The scenario specifically describes converting spoken customer requests into written text , which is a speech-to-text , or speech recognition, capability. Microsoft classifies speech as one of the common AI workloads in the current Azure AI Fundamentals study guide. The guide explicitly requires candidates to identify scenarios involving speech and to understand the capabilities of speech recognition and speech synthesis .
Microsoft Azure Speech in Foundry Tools provides speech-to-text functionality that converts audio streams into textual transcriptions. It supports real-time transcription, fast transcription, and batch transcription depending on the workload.
Key phrase extraction analyzes existing text to identify important words or concepts; it does not perform audio transcription. Text analysis covers operations such as sentiment analysis, entity recognition, summarization, and key phrase extraction after text already exists. Natural Language Understanding (NLU) interprets the meaning or intent of language, but the conversion from audio into written words itself is specifically a speech recognition workload .
Study Guide Reference: Identify AI concepts and capabilities # Identify AI workloads # Identify features and capabilities of speech recognition and speech synthesis.
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