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Microsoft AI-102 exam covers various topics related to designing and implementing AI solutions, such as data preparation, machine learning models, natural language processing, computer vision, and conversational AI. It also includes topics related to deploying and managing AI solutions on the Azure platform. AI-102 exam consists of both multiple-choice and lab-based questions, and candidates are required to demonstrate their practical skills in designing and implementing AI solutions on Azure. Passing AI-102 exam requires a deep understanding of Azure AI services and the ability to design and implement AI solutions to solve real-world business problems.
Microsoft AI-102 Exam is an advanced-level certification that requires a deep understanding of AI technologies and their applications. Candidates are expected to have a strong grasp of AI concepts, programming languages, and data science principles. Passing AI-102 exam is a great way to demonstrate your expertise in designing and implementing AI solutions using Microsoft Azure, and it can help you advance your career in the field of AI and machine learning.
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To take the AI-102 Certification Exam, candidates should have a good understanding of Azure services, experience with data science and machine learning, and knowledge of programming languages such as Python and R. AI-102 exam consists of multiple-choice questions and performance-based tasks that evaluate the candidate's ability to design and implement AI solutions on Azure. Passing this certification exam demonstrates that the candidate has the skills and knowledge required to design and implement AI solutions using Microsoft Azure, which can help them advance their career in the field of AI and machine learning.
NEW QUESTION # 187
You are building an app that will use Azure Al Language to extract meaning from text messages.
You need to provide additional context by adding Reference to supporting articles in Wikipedia.
What should you use?
Answer: C
NEW QUESTION # 188
You are developing a text processing solution.
You have the function shown below.
Answer:
Explanation:
NEW QUESTION # 189
You use the Microsoft Bot Framework Composer to build a chatbot that enables users to purchase items.
You need to ensure that the users can cancel in-progress transactions. The solution must minimize development effort.
What should you add to the bot?
Answer: A
NEW QUESTION # 190
You are building a phone call handling solution that will use the Azure Al Speech service and a custom neural voice.
You need to create a custom speech model.
Which five actions should you perform in sequence from Speech Studio? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
A custom neural voice (professional voice) project in Azure AI Speech requires that you follow Responsible AI and consent steps before any model training. The correct workflow in Speech Studio / Azure AI Foundry is:
* Create a custom voice project - This is the container that will hold the voice talent consent, your training datasets, models, and deployments. Each project is scoped to a locale and other attributes.
Microsoft Learn
* Collect and upload consent - Microsoft requires explicit authorization from the voice talent. In practice, you add the voice talent consent to the project. The platform requires the verbal consent recording (WAV); many guidance and exam items also include the signed consent document (PDF) as part of consent capture to meet Responsible AI expectations. The consent step is performed before uploading training data.
* Upload the voice talent's verbal consent as a WAV file - The consent audio verifies that the person who granted consent is the same as the speaker in your training data. The documentation shows consent is a recorded statement uploaded to the project. Microsoft Learn
* Analyze the quality of the audio data and fix issues - After data upload, Speech Studio runs validation and provides a per-utterance analysis (format checks, sampling rate, script match, pronunciation/noise scoring). You must resolve issues and run Analyze data before the dataset can be used for training.
Microsoft Learn
* Train the model using a neural training method - Start model training from the project and choose Neural as the training type for custom neural voice. Microsoft Learn Why not "upload speech samples as WMA/MP3 files"?
For the standard, recommended Individual utterances + matching transcript data type used to fine-tune a professional neural voice, the audio files must be WAV/RIFF PCM; the docs explicitly reference ".wav" throughout data checks and corrections. WMA isn't supported, and MP3 isn't accepted for this core data type.
(Long audio / audio-only workflows can accept MP3 for preprocessing, but the canonical training dataset for custom neural voice is WAV.)
* Create a project for professional voice (Speech Studio/Azure AI Foundry): Project contains consent, datasets, models, endpoints. Microsoft Learn
* Add voice talent consent to the professional voice project: Upload the recorded consent statement for the voice talent. Microsoft Learn
* Professional voice fine-tuning data - required formats: Individual utterances + transcript require WAV
/RIFF PCM; guidance on sample rate and transcript format. Microsoft Learn
* Add a professional voice training dataset & resolve data issues: Data validation, pronunciation/noise checks, and the Analyze data step prior to training. Microsoft Learn
* Train your professional voice model: Start training and select Neural method. Microsoft Learn
NEW QUESTION # 191
You are developing an application that includes language translation.
The application will translate text retrieved by using a function named getTextToBeTranslated. The text can be in one of many languages. The content of the text must remain within the Americas Azure geography.
You need to develop code to translate the text to a single language.
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 # 192
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