Microsoft AI-102 Questions Obtain Exam Results Simply 2026

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The AI-102 certification exam covers a range of topics related to AI solution design and implementation. These include designing AI solutions, implementing AI workflows, deploying and managing AI models, and monitoring and optimizing AI solutions. AI-102 exam is intended for professionals who have expertise in machine learning, Azure AI services, and data science.

The AI-102 certification exam covers a wide range of topics related to Azure AI, including designing AI solutions that use cognitive services, machine learning, and other AI technologies. AI-102 Exam also covers topics such as data preparation, natural language processing, and computer vision. Designing and Implementing a Microsoft Azure AI Solution certification exam is intended for professionals who are looking to build their skills in AI and machine learning, and who want to demonstrate their expertise in this area to potential employers.

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Microsoft AI-102 Certification Exam is an excellent opportunity for professionals to validate their skills and knowledge in designing and implementing AI solutions on the Azure platform. With the growing demand for AI solutions in various industries, this certification can help professionals advance their careers and stay competitive in the job market.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q25-Q30):

NEW QUESTION # 25
You are building content for a video training solution.
You need to create narration to accompany the video content. The solution must use Custom Neural Voice.
What should you use to create a custom neural voice, and which service should you use to generate the narration? To answer, select the appropriate options in the answer area.
NOTE: Each correct answer is worth one point.

Answer:

Explanation:


NEW QUESTION # 26
You are building an app that will translate speech by using the Azure Al Language service.
You need configure the app to translate the speech from English to Italian.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

First blank: speech_recognition_language
Second blank: add_target_language
speech_translation_config = speechsdk.translation.SpeechTranslationConfig( subscription=os.environ.get( ' SPEECH_KEY ' ), region=os.environ.get( ' SPEECH_REGION ' ) )
# Source (recognition) language: English (US)
speech_translation_config.speech_recognition_language = " en-US "
# Target translation language: Italian
speech_translation_config.add_target_language( " it " )
audio_config = speechsdk.audio.AudioConfig(use_default_microphone= True ) recognizer = speechsdk.translation.TranslationRecognizer( translation_config=speech_translation_config, audio_config=audio_config ) Comprehensive Detailed Explanation along with All References available from Microsoft Azure AI Solution at the end of the explanation To translate speech, configure a SpeechTranslationConfig with (1) the recognition language of the input audio and (2) one or more target languages for translation. In Python, you set the input language with the speech_recognition_language property (e.g., " en-US " ), and you add a target with add_target_language( " < locale > " ) (e.g., " it " for Italian). This exactly matches the SDK guidance and examples for speech translation. Microsoft Learn speech_recognition_language specifies the locale used by the recognizer to understand the spoken input.
add_target_language( " it " ) adds Italian as a translation output language.
Microsoft References
How to translate speech with the Speech SDK (Python examples show translation_config.
speech_recognition_language = from_language and translation_config.add_target_language(...) ). Microsoft Learn SpeechTranslationConfig (Python) reference - add_target_language(language: str) . Microsoft Lea rn Recognize speech (property usage for speech_recognition_language ). Microsoft Learn Language support for Speech service (locales and codes for recognition/translation)


NEW QUESTION # 27
You have the following C# method for creating Azure Cognitive Services resources programmatically.

You need to call the method to create a free Azure resource in the West US Azure region. The resource will be used to generate captions of images automatically.
Which code should you use?

Answer: C

Explanation:
Many of the Cognitive Services have a free tier you can use to try the service. To use the free tier, use F0 as the SKU for your resource.
There are two tiers of keys for the Custom Vision service. You can sign up for a F0 (free) or S0 (standard) subscription through the Azure portal.
Incorrect Answers:
A: There is no free tier (F0) for ComputerVision.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account-client-library?pivots=programming-language-csharp
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/limits-and-quotas


NEW QUESTION # 28
You have an Azure subscription that contains an Azure OpenAI resource named AH.
You build a chatbot that will use AI1 to provide generative answers to specific questions.
You need to ensure that the responses are more creative and less deterministic.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 29
You are reviewing the design of a chatbot. The chatbot includes a language generation file that contains the following fragment.
# Greet(user)
- ${Greeting()}, ${user.name}
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/composer/how-to-ask-for-user-input


NEW QUESTION # 30
......

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