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Updated: Oct 18, 2026
No. of Questions: 132 Questions & Answers with Testing Engine
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Reference: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-901
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-901 |
| Exam Duration: | 60 minutes |
| Real Exam Qty: | 30-40 |
| Passing Score: | 700 |
| Certificate Validity Period: | Lifetime |
| Exam Format: | Case studies, Multiple choice, Multiple select |
| Available Languages: | Portuguese (Brazil), Chinese (Simplified), Arabic (Saudi Arabia), English, Korean, Italian, Indonesian (Indonesia), Japanese, Spanish, Chinese (Traditional), German, Russian, French |
| Exam Price: | $99 USD |
| Recommended Training: | Microsoft Learn: Get started with Microsoft Foundry Microsoft Learn: AI concepts for developers and technology professionals |
| Exam Registration: | Microsoft Certification Exam Registration Pearson VUE Scheduling |
| Sample Questions: | Microsoft AI-901 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/ |
You have a Microsoft Foundry project that contains a deployed generative Al model You need to develop an application by using the Microsoft Foundry SDK to send chat prompts to the deployed model Which information must the application include?
Correct Answer: B π³οΈ
Explanation: Only visible for ActualTestsQuiz members. You can sign-up / login (it's free).
You are developing an application that converts text into spoken audio and saves the synthesized audio to a file by using Azure Speech in Foundry Tools.
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:
AudioOutputConfig(filename= " output.wav " )
The question specifically states the application must save the synthesized audio to a file. In the Azure Speech SDK for Python, speechsdk.audio.AudioOutputConfig(filename= " output.wav " ) directs the synthesizer to write the generated speech output directly to a WAV file on disk - which is exactly the requirement.
Why the other options are wrong:
AudioOutputConfig(stream) - This routes audio output to an in-memory audio stream object, not a file. It is used when you want to process or play the audio programmatically without saving it to disk.
AudioStreamFormat(wave_stream_format=AudioStreamWaveFormat.PCM) - This class defines the format of an audio stream (e.g., PCM encoding, sample rate). It is used when configuring custom audio streams, not when specifying a file output destination. It is not a valid argument for speechsdk.audio. in this context.
The correct and complete line is:
audio_config = speechsdk.audio.AudioOutputConfig(filename= " output.wav " )
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?
Correct Answer: B π³οΈ
Explanation: Only visible for ActualTestsQuiz members. You can sign-up / login (it's free).
Select the answer that correctly completes the sentence.
Correct Answer:

Explanation:
The Model catalog is used for comparing and deploying a wide range of models for generative AI development.
Microsoft 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. Microsoft training also states that the model catalog is used to compare models by benchmark metrics and deploy models to endpoints.
Which action can be performed by using the Azure Vision in Foundry Tools service?
Correct Answer: C π³οΈ
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