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| Section | Objectives |
|---|---|
| Implement Natural Language Processing Solutions | - Analyze text using Azure AI Language - Implement question answering and conversational AI - Translate and interpret language using Azure AI services |
| Implement Generative AI Solutions | - Build retrieval-augmented generation (RAG) solutions - Integrate prompt engineering techniques - Implement Azure OpenAI Service solutions |
| Implement Knowledge Mining and Document Intelligence | - Enrich and index data for search scenarios - Implement document intelligence solutions - Build Azure AI Search solutions |
| Implement Computer Vision Solutions | - Analyze images and videos using Azure AI Vision - Implement custom vision models - Extract information using OCR and form recognition |
| Plan and Manage an Azure AI Solution | - Select appropriate Azure AI services - Manage security, compliance, and responsible AI - Plan solution requirements and architecture |
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NEW QUESTION # 314
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:
Comprehensive Detailed 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.) Microsoft Azure AI References 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 Le arn Train your professional voice model: Start training and select Neural method. Microsoft Learn
NEW QUESTION # 315
You have a Custom Vision resource named acvdev in a development environment.
You have a Custom Vision resource named acvprod in a production environment.
In acvdev, you build an object detection model named obj1 in a project named proj1.
You need to move obj1 to acvprod.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
1 - Use the GetPtojects endpoint on acvdev.
2 - Use the ExportProject endpoint on acvdev.
3 - Use the ImportProject endpoint on acvprod.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-tutorial-pattern#what-did-this-tutorial-accomplish
NEW QUESTION # 316
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
semi-structured data
The statement is:
"Varying fields for each entity in a JSON document is an example of ______."
* Relational data # Stored in structured tables with fixed schema (e.g., SQL database). Not applicable here.
* Structured data # Has a strict schema (columns and types are predefined). JSON allows variation, so not structured.
* Semi-structured data # Data that does not require a fixed schema, but still uses markers (tags, keys) to separate elements. JSON and XML are classic examples. #
* Unstructured data # Data without schema or labeling (e.g., videos, images, free text). Not JSON.
Since JSON documents can have varying fields per entity (flexible schema), this is considered semi-structured data.
The answer: semi-structured data
* Structured, semi-structured, and unstructured data
* JSON in Azure
Microsoft References
NEW QUESTION # 317
Hotspot Question
You are building a chatbot by using the Microsoft Bot Framework Composer.
You have the dialog design shown in the following exhibit.
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:
Explanation:
Box 1: No
User.name is a property.
Box 2: Yes
Box 3: Yes
The coalesce() function evaluates a list of expressions and returns the first non-null (or non- empty for string) expression.
Reference:
https://docs.microsoft.com/en-us/composer/concept-language-generation
https://docs.microsoft.com/en-us/azure/data-explorer/kusto/query/coalescefunction
NEW QUESTION # 318
You have a chatbot.
You need to test the bot by using the Bot Framework Emulator. The solution must ensure that you are prompted for credentials when you sign in to the bot.
Which three settings should you configure? To answer, select the appropriate settings in the answer area.
NOTE Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 319
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